├── Source.bson ├── images ├── url.png ├── diagram.png └── newpythonnotebook.png ├── Archive ├── README.md ├── spark-master.Dockerfile ├── spark-worker.Dockerfile ├── cluster-base.Dockerfile ├── jupyterlab.Dockerfile ├── build.sh └── spark-base.Dockerfile ├── .gitignore ├── DataGenerator ├── endings.txt ├── adjectives.txt ├── create-stock-data.py └── nouns.txt ├── spark-script.py ├── run.sh ├── run.ps1 ├── docker-compose.yml └── readme.md /Source.bson: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/RWaltersMA/mongo-spark-jupyter/HEAD/Source.bson -------------------------------------------------------------------------------- /images/url.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/RWaltersMA/mongo-spark-jupyter/HEAD/images/url.png -------------------------------------------------------------------------------- /Archive/README.md: -------------------------------------------------------------------------------- 1 | If you wish to build your own spark and jupyter images, run the `build.sh` script. -------------------------------------------------------------------------------- /images/diagram.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/RWaltersMA/mongo-spark-jupyter/HEAD/images/diagram.png -------------------------------------------------------------------------------- /images/newpythonnotebook.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/RWaltersMA/mongo-spark-jupyter/HEAD/images/newpythonnotebook.png -------------------------------------------------------------------------------- /.gitignore: -------------------------------------------------------------------------------- 1 | blog/ 2 | .DS_Store 3 | dump/ 4 | data.csv 5 | Archive/ 6 | *.jar 7 | encryption/ 8 | daily.csv 9 | mongos3.py 10 | sinktest.py -------------------------------------------------------------------------------- /DataGenerator/endings.txt: -------------------------------------------------------------------------------- 1 | Labs 2 | Ventures 3 | Innovations 4 | LLC 5 | Corporation 6 | Technologies 7 | Partners 8 | Holdings 9 | Unlimited 10 | Productions 11 | Foods -------------------------------------------------------------------------------- /Archive/spark-master.Dockerfile: -------------------------------------------------------------------------------- 1 | FROM spark-base 2 | 3 | # -- Runtime 4 | 5 | ARG spark_master_web_ui=8080 6 | 7 | EXPOSE ${spark_master_web_ui} ${SPARK_MASTER_PORT} 8 | CMD bin/spark-class org.apache.spark.deploy.master.Master >> logs/spark-master.out -------------------------------------------------------------------------------- /Archive/spark-worker.Dockerfile: -------------------------------------------------------------------------------- 1 | FROM spark-base 2 | 3 | # -- Runtime 4 | 5 | ARG spark_worker_web_ui=8081 6 | 7 | EXPOSE ${spark_worker_web_ui} 8 | CMD bin/spark-class org.apache.spark.deploy.worker.Worker spark://${SPARK_MASTER_HOST}:${SPARK_MASTER_PORT} >> logs/spark-worker.out -------------------------------------------------------------------------------- /Archive/cluster-base.Dockerfile: -------------------------------------------------------------------------------- 1 | ARG debian_buster_image_tag=8-jre-slim 2 | FROM openjdk:${debian_buster_image_tag} 3 | 4 | # -- Layer: OS + Python 3.7 5 | 6 | ARG shared_workspace=/opt/workspace 7 | 8 | RUN mkdir -p ${shared_workspace} && \ 9 | apt-get update -y && \ 10 | apt-get install -y python3 && \ 11 | ln -s /usr/bin/python3 /usr/bin/python && \ 12 | rm -rf /var/lib/apt/lists/* 13 | 14 | ENV SHARED_WORKSPACE=${shared_workspace} 15 | 16 | # -- Runtime 17 | 18 | VOLUME ${shared_workspace} 19 | CMD ["bash"] 20 | -------------------------------------------------------------------------------- /Archive/jupyterlab.Dockerfile: -------------------------------------------------------------------------------- 1 | FROM cluster-base 2 | 3 | # -- Layer: JupyterLab 4 | 5 | ARG spark_version=3.0.0 6 | ARG jupyterlab_version=2.2.6 7 | 8 | RUN apt-get update -y && \ 9 | apt-get install -y python3-pip && \ 10 | pip3 install pyspark==${spark_version} jupyterlab==${jupyterlab_version} && \ 11 | pip3 install wget && \ 12 | pip3 install -U scikit-learn && \ 13 | apt-get install -y python3-pandas && \ 14 | pip3 install numpy && \ 15 | pip3 install -U matplotlib && \ 16 | pip3 install seaborn 17 | 18 | # -- Runtime 19 | 20 | EXPOSE 8888 21 | WORKDIR ${SHARED_WORKSPACE} 22 | CMD jupyter lab --ip=0.0.0.0 --port=8888 --no-browser --allow-root --NotebookApp.token= -------------------------------------------------------------------------------- /Archive/build.sh: -------------------------------------------------------------------------------- 1 | # -- Software Stack Version 2 | 3 | SPARK_VERSION="3.0.0" 4 | HADOOP_VERSION="2.7" 5 | JUPYTERLAB_VERSION="2.2.6" 6 | 7 | # -- Building the Images 8 | 9 | docker build \ 10 | -f cluster-base.Dockerfile \ 11 | -t cluster-base . 12 | 13 | docker build \ 14 | --build-arg spark_version="${SPARK_VERSION}" \ 15 | --build-arg hadoop_version="${HADOOP_VERSION}" \ 16 | -f spark-base.Dockerfile \ 17 | -t spark-base . 18 | 19 | docker build \ 20 | -f spark-master.Dockerfile \ 21 | -t spark-master . 22 | 23 | docker build \ 24 | -f spark-worker.Dockerfile \ 25 | -t spark-worker . 26 | 27 | docker build \ 28 | --build-arg spark_version="${SPARK_VERSION}" \ 29 | --build-arg jupyterlab_version="${JUPYTERLAB_VERSION}" \ 30 | -f jupyterlab.Dockerfile \ 31 | -t jupyterlab . 32 | 33 | -------------------------------------------------------------------------------- /Archive/spark-base.Dockerfile: -------------------------------------------------------------------------------- 1 | FROM cluster-base 2 | 3 | # -- Layer: Apache Spark 4 | 5 | ARG spark_version=3.0.0 6 | ARG hadoop_version=2.7 7 | 8 | RUN apt-get update -y && \ 9 | apt-get install -y curl && \ 10 | curl https://archive.apache.org/dist/spark/spark-${spark_version}/spark-${spark_version}-bin-hadoop${hadoop_version}.tgz -o spark.tgz && \ 11 | tar -xf spark.tgz && \ 12 | mv spark-${spark_version}-bin-hadoop${hadoop_version} /usr/bin/ && \ 13 | mkdir /usr/bin/spark-${spark_version}-bin-hadoop${hadoop_version}/logs && \ 14 | rm spark.tgz 15 | 16 | ENV SPARK_HOME /usr/bin/spark-${spark_version}-bin-hadoop${hadoop_version} 17 | ENV SPARK_MASTER_HOST spark-master 18 | ENV SPARK_MASTER_PORT 7077 19 | ENV PYSPARK_PYTHON python3 20 | 21 | # -- Runtime 22 | 23 | WORKDIR ${SPARK_HOME} -------------------------------------------------------------------------------- /spark-script.py: -------------------------------------------------------------------------------- 1 | from pyspark.sql import SparkSession 2 | 3 | spark = SparkSession.\ 4 | builder.\ 5 | appName("pyspark-notebook2").\ 6 | master("spark://spark-master:7077").\ 7 | config("spark.executor.memory", "1g").\ 8 | config("spark.mongodb.input.uri","mongodb://mongo1:27017,mongo2:27018,mongo3:27019/Stocks.Source?replicaSet=rs0").\ 9 | config("spark.mongodb.output.uri","mongodb://mongo1:27017,mongo2:27018,mongo3:27019/Stocks.Source?replicaSet=rs0").\ 10 | config("spark.mongodb.input.database","Stocks").\ 11 | config("spark.jars.packages", "org.mongodb.spark:mongo-spark-connector_2.12:10.0.5").\ 12 | getOrCreate() 13 | 14 | #reading dataframes from MongoDB 15 | df = spark.read.format("mongo").load() 16 | 17 | df.printSchema() 18 | 19 | #let's change the data type to a timestamp 20 | df = df.withColumn("tx_time", df.tx_time.cast("timestamp")) 21 | 22 | #Here we are calculating a moving average 23 | from pyspark.sql.window import Window 24 | from pyspark.sql import functions as F 25 | 26 | movAvg = df.withColumn("movingAverage", F.avg("price").over( Window.partitionBy("company_symbol").rowsBetween(-1,1)) ) 27 | movAvg.show() 28 | 29 | #Saving Dataframes to MongoDB 30 | movAvg.write.format("mongo").option("replaceDocument", "true").mode("append").save() 31 | 32 | #Reading Dataframes from the Aggregation Pipeline in MongoDB 33 | pipeline = "[{'$group': {_id:'$company_name', 'maxprice': {$max:'$price'}}},{$sort:{'maxprice':-1}}]" 34 | aggPipelineDF = spark.read.format("mongo").option("pipeline", pipeline).option("partitioner", "MongoSinglePartitioner").load() 35 | aggPipelineDF.show() 36 | 37 | #using SparkSQL with MongoDB 38 | movAvg.createOrReplaceTempView("avgs") 39 | 40 | sqlDF=spark.sql("SELECT * FROM avgs WHERE movingAverage > 43.0") 41 | 42 | sqlDF.show() 43 | -------------------------------------------------------------------------------- /run.sh: -------------------------------------------------------------------------------- 1 | #! /usr/bin/env bash 2 | 3 | set -e 4 | ( 5 | if lsof -Pi :27017 -sTCP:LISTEN -t >/dev/null ; then 6 | echo "Please terminate the local mongod on 27017" 7 | exit 1 8 | fi 9 | ) 10 | 11 | echo "Starting docker ." 12 | docker-compose up -d --build 13 | 14 | function clean_up { 15 | echo "\n\nShutting down....\n\n" 16 | 17 | docker-compose down -v 18 | } 19 | 20 | trap clean_up EXIT 21 | 22 | sleep 5 23 | 24 | echo -e "\nConfiguring the MongoDB ReplicaSet.\n" 25 | # docker-compose exec mongo1 /usr/bin/mongosh --eval '''rsconf = { _id : "rs0", members: [ { _id : 0, host : "mongo1:27017", priority: 1.0 }]}; 26 | # rs.initiate(rsconf);''' 27 | 28 | docker-compose exec mongo1 /usr/bin/mongosh --eval '''rsconf = { 29 | _id : "rs0", 30 | members: [ 31 | { _id : 0, host : "mongo1:27017", priority: 1.0 }, 32 | { _id : 1, host : "mongo2:27017", priority: 0.5 }, 33 | { _id : 2, host : "mongo3:27017", priority: 0.5 } 34 | ] 35 | }; 36 | rs.initiate(rsconf); 37 | ''' 38 | 39 | #rs.conf(); 40 | # 41 | #docker cp mongosparkv10.jar jupyterlab:/home/jovyan/ 42 | 43 | echo -e "\nUploading test data into Stocks database\n" 44 | 45 | #docker-compose exec mongo1 apt-get update 46 | #docker-compose exec mongo1 apt-get install wget 47 | #docker-compose exec mongo1 wget https://github.com/RWaltersMA/mongo-spark-jupyter/raw/master/Source.bson 48 | 49 | #docker-compose exec mongo1 /usr/bin/mongorestore Source.bson -h rs0/mongo1:27017,mongo2:27018,mongo3:27019 -d Stocks -c Source --drop 50 | 51 | 52 | echo ''' 53 | 54 | 55 | 56 | ============================================================================================================== 57 | MongoDB Spark Demo 58 | 59 | Jypterlab 60 | 61 | docker exec -it jupyterlab /opt/conda/bin/jupyter server list 62 | 63 | ''' 64 | 65 | docker exec -it jupyterlab /opt/conda/bin/jupyter server list 66 | 67 | echo ''' 68 | Spark Master - http://localhost:8080 69 | Spark Worker 1 70 | Spark Worker 2 71 | MongoDB single node replica set - port 27017 72 | 73 | ============================================================================================================== 74 | 75 | Use -c to quit''' 76 | 77 | read -r -d '' _ docker-compose exec mongo1 /usr/bin/mongo localhost:27017/SparkDemo --eval "db.dropDatabase()" 81 | 82 | docker-compose down -v 83 | 84 | # note: we use a -v to remove the volumes, else you'll end up with old data 85 | -------------------------------------------------------------------------------- /run.ps1: -------------------------------------------------------------------------------- 1 | function Wait-KeyPress 2 | { 3 | param 4 | ( 5 | [ConsoleKey] 6 | $Key = [ConsoleKey]::Escape 7 | ) 8 | do 9 | { 10 | $keyInfo = [Console]::ReadKey($false) 11 | } until ($keyInfo.Key -eq $key) 12 | } 13 | 14 | function CheckMongoDB 15 | { 16 | $ipaddress = "127.0.0.1" 17 | $port = 27017 18 | 19 | try { 20 | 21 | $connection = New-Object System.Net.Sockets.TcpClient($ipaddress, $port) 22 | 23 | if ($connection.Connected) { 24 | 25 | Write-Host "MongoDB is running on port 27017, please terminate the local mongod on this port." -ForegroundColor Yellow 26 | Exit 1 27 | } 28 | } 29 | 30 | catch { 31 | Write-Host "No MongoDB running..." 32 | } 33 | 34 | } 35 | 36 | Write-Host "Checking to see if MongoDB is running..." 37 | 38 | CheckMongoDB 39 | 40 | Write-Host "Starting docker ." 41 | 42 | docker-compose up -d --build 43 | 44 | Write-Host "Configuring the MongoDB ReplicaSet." 45 | 46 | docker-compose exec mongo1 /usr/bin/mongo --eval "if (rs.status()['ok'] == 0) { rsconf = { _id : 'rs0', members: [ { _id : 0, host : 'mongo1:27017', priority: 1.0 }, { _id : 1, host : 'mongo2:27017', priority: 0.5 }, { _id : 2, host : 'mongo3:27017', priority: 0.5 } ] }; rs.initiate(rsconf); } rs.conf();" 47 | 48 | Write-Host "Uploading test data into Stocks database" 49 | 50 | docker-compose exec mongo1 apt-get update 51 | 52 | docker-compose exec mongo1 apt-get install wget 53 | 54 | docker-compose exec mongo1 wget https://github.com/RWaltersMA/mongo-spark-jupyter/raw/master/Source.bson 55 | 56 | docker-compose exec mongo1 /usr/bin/mongorestore Source.bson -h rs0/mongo1:27017,mongo2:27018,mongo3:27019 -d Stocks -c Source --drop 57 | 58 | Write-Host " 59 | 60 | ============================================================================================================== 61 | 62 | MongoDB Spark Demo 63 | 64 | Jypterlab" 65 | 66 | docker exec -it jupyterlab /opt/conda/bin/jupyter server list 67 | 68 | Write-Host -ForegroundColor Yellow "NOTE: When running on Windows change 0.0.0.0 to localhost in the URL above" 69 | 70 | Write-Host " 71 | 72 | Spark Master - http://localhost:8080 73 | 74 | Spark Worker 1 75 | 76 | Spark Worker 2 77 | 78 | MongoDB Replica Set - port 27017-27019 79 | 80 | ============================================================================================================== 81 | 82 | Press to quit" 83 | 84 | Wait-KeyPress 85 | 86 | # if we don't specify -v then issue this one -> docker-compose exec mongo1 /usr/bin/mongo localhost:27017/SparkDemo --eval "db.dropDatabase()" 87 | 88 | docker-compose down -v 89 | 90 | # note: we use a -v to remove the volumes, else you'll end up with old data 91 | -------------------------------------------------------------------------------- /docker-compose.yml: -------------------------------------------------------------------------------- 1 | version: "3.6" 2 | volumes: 3 | shared-workspace: 4 | name: "hadoop-distributed-file-system" 5 | driver: local 6 | rs1: 7 | rs2: 8 | rs3: 9 | 10 | services: 11 | jupyterlab: 12 | image: jupyter/pyspark-notebook:latest 13 | container_name: jupyterlab 14 | environment: 15 | - JUPYTER_ENABLE_LAB=yes 16 | - GRANT_SUDO=yes 17 | 18 | 19 | ports: 20 | - 8888:8888 21 | volumes: 22 | - shared-workspace:/opt/workspace 23 | networks: 24 | - localnet 25 | 26 | spark-master: 27 | image: bde2020/spark-master:latest #3.2.0-hadoop3.2 28 | container_name: spark-master 29 | ports: 30 | - 8090:8080 31 | - 7077:7077 32 | volumes: 33 | - shared-workspace:/opt/workspace 34 | networks: 35 | - localnet 36 | 37 | spark-worker-1: 38 | image: bde2020/spark-worker:latest #3.2.0-hadoop3.2 39 | container_name: spark-worker-1 40 | environment: 41 | - SPARK_WORKER_CORES=2 42 | - SPARK_WORKER_MEMORY=4g 43 | - SPARK_MASTER=spark://spark-master:7077 44 | ports: 45 | - 8081:8081 46 | volumes: 47 | - shared-workspace:/opt/workspace 48 | depends_on: 49 | - spark-master 50 | networks: 51 | - localnet 52 | 53 | spark-worker-2: 54 | image: bde2020/spark-worker:latest #3.2.0-hadoop3.2 55 | container_name: spark-worker-2 56 | environment: 57 | - SPARK_WORKER_CORES=4 58 | - SPARK_WORKER_MEMORY=4g 59 | - SPARK_MASTER=spark://spark-master:7077 60 | ports: 61 | - 8082:8081 62 | volumes: 63 | - shared-workspace:/opt/workspace 64 | depends_on: 65 | - spark-master 66 | networks: 67 | - localnet 68 | 69 | # MongoDB Replica Set 70 | mongo1: 71 | image: "mongo:latest" 72 | container_name: mongo1 73 | command: --replSet rs0 --oplogSize 128 --bind_ip 0.0.0.0 74 | volumes: 75 | - rs1:/data/db 76 | networks: 77 | - localnet 78 | ports: 79 | - "27017:27017" 80 | restart: always 81 | 82 | mongo2: 83 | image: "mongo:latest" 84 | container_name: mongo2 85 | command: --replSet rs0 --oplogSize 128 --bind_ip 0.0.0.0 86 | volumes: 87 | - rs2:/data/db 88 | networks: 89 | - localnet 90 | ports: 91 | - "27018:27017" 92 | restart: always 93 | 94 | mongo3: 95 | image: "mongo:latest" 96 | container_name: mongo3 97 | command: --replSet rs0 --oplogSize 128 --bind_ip 0.0.0.0 98 | volumes: 99 | - rs3:/data/db 100 | networks: 101 | - localnet 102 | ports: 103 | - "27019:27017" 104 | restart: always 105 | 106 | networks: 107 | localnet: 108 | attachable: true 109 | -------------------------------------------------------------------------------- /DataGenerator/adjectives.txt: -------------------------------------------------------------------------------- 1 | abrupt 2 | acidic 3 | adorable 4 | adventurous 5 | aggressive 6 | agitated 7 | alert 8 | aloof 9 | amiable 10 | amused 11 | annoyed 12 | antsy 13 | anxious 14 | appalling 15 | appetizing 16 | apprehensive 17 | arrogant 18 | ashamed 19 | astonishing 20 | attractive 21 | average 22 | batty 23 | beefy 24 | bewildered 25 | biting 26 | bitter 27 | bland 28 | blushing 29 | bored 30 | brave 31 | bright 32 | broad 33 | bulky 34 | burly 35 | charming 36 | cheeky 37 | cheerful 38 | chubby 39 | clean 40 | clear 41 | cloudy 42 | clueless 43 | clumsy 44 | colorful 45 | colossal 46 | combative 47 | comfortable 48 | condemned 49 | condescending 50 | confused 51 | contemplative 52 | convincing 53 | convoluted 54 | cooperative 55 | corny 56 | costly 57 | courageous 58 | crabby 59 | creepy 60 | crooked 61 | cruel 62 | cumbersome 63 | curved 64 | cynical 65 | dangerous 66 | dashing 67 | decayed 68 | deceitful 69 | deep 70 | defeated 71 | defiant 72 | delicious 73 | delightful 74 | depraved 75 | depressed 76 | despicable 77 | determined 78 | dilapidated 79 | diminutive 80 | disgusted 81 | distinct 82 | distraught 83 | distressed 84 | disturbed 85 | dizzy 86 | drab 87 | drained 88 | dull 89 | eager 90 | ecstatic 91 | elated 92 | elegant 93 | emaciated 94 | embarrassed 95 | enchanting 96 | encouraging 97 | energetic 98 | enormous 99 | enthusiastic 100 | envious 101 | exasperated 102 | excited 103 | exhilarated 104 | extensive 105 | exuberant 106 | fancy 107 | fantastic 108 | fierce 109 | filthy 110 | flat 111 | floppy 112 | fluttering 113 | foolish 114 | frantic 115 | fresh 116 | friendly 117 | frightened 118 | frothy 119 | frustrating 120 | funny 121 | fuzzy 122 | gaudy 123 | gentle 124 | ghastly 125 | giddy 126 | gigantic 127 | glamorous 128 | gleaming 129 | glorious 130 | gorgeous 131 | graceful 132 | greasy 133 | grieving 134 | gritty 135 | grotesque 136 | grubby 137 | grumpy 138 | handsome 139 | happy 140 | harebrained 141 | healthy 142 | helpful 143 | helpless 144 | high 145 | hollow 146 | homely 147 | horrific 148 | huge 149 | hungry 150 | hurt 151 | icy 152 | ideal 153 | immense 154 | impressionable 155 | intrigued 156 | irate 157 | irritable 158 | itchy 159 | jealous 160 | jittery 161 | jolly 162 | joyous 163 | filthy 164 | flat 165 | floppy 166 | fluttering 167 | foolish 168 | frantic 169 | fresh 170 | friendly 171 | frightened 172 | frothy 173 | frustrating 174 | funny 175 | fuzzy 176 | gaudy 177 | gentle 178 | ghastly 179 | giddy 180 | gigantic 181 | glamorous 182 | gleaming 183 | glorious 184 | gorgeous 185 | graceful 186 | greasy 187 | grieving 188 | gritty 189 | grotesque 190 | grubby 191 | grumpy 192 | handsome 193 | happy 194 | harebrained 195 | healthy 196 | helpful 197 | helpless 198 | high 199 | hollow 200 | homely 201 | horrific 202 | huge 203 | hungry 204 | hurt 205 | icy 206 | ideal 207 | immense 208 | impressionable 209 | intrigued 210 | irate 211 | irritable 212 | itchy 213 | jealous 214 | jittery 215 | jolly 216 | joyous 217 | juicy 218 | jumpy 219 | kind 220 | lackadaisical 221 | large 222 | lazy 223 | lethal 224 | little 225 | lively 226 | livid 227 | lonely 228 | loose 229 | lovely 230 | lucky 231 | ludicrous 232 | macho 233 | magnificent 234 | mammoth 235 | maniacal 236 | massive 237 | melancholy 238 | melted 239 | miniature 240 | minute 241 | mistaken 242 | misty 243 | moody 244 | mortified 245 | motionless 246 | muddy 247 | mysterious 248 | narrow 249 | nasty 250 | naughty 251 | nervous 252 | nonchalant 253 | nonsensical 254 | nutritious 255 | nutty 256 | obedient 257 | oblivious 258 | obnoxious 259 | odd 260 | old-fashioned 261 | outrageous 262 | panicky 263 | perfect 264 | perplexed 265 | petite 266 | petty 267 | plain 268 | pleasant 269 | poised 270 | pompous 271 | precious 272 | prickly 273 | proud 274 | pungent 275 | puny 276 | quaint 277 | quizzical 278 | ratty 279 | reassured 280 | relieved 281 | repulsive 282 | responsive 283 | ripe 284 | robust 285 | rotten 286 | rotund 287 | rough 288 | round 289 | salty 290 | sarcastic 291 | scant 292 | scary 293 | scattered 294 | scrawny 295 | selfish 296 | shaggy 297 | shaky 298 | shallow 299 | sharp 300 | shiny 301 | short 302 | silky 303 | silly 304 | skinny 305 | slimy 306 | slippery 307 | small 308 | smarmy 309 | smiling 310 | smoggy 311 | smooth 312 | smug 313 | soggy 314 | solid 315 | sore 316 | sour 317 | sparkling 318 | spicy 319 | splendid 320 | spotless 321 | square 322 | stale 323 | steady 324 | steep 325 | responsive 326 | sticky 327 | stormy 328 | stout 329 | straight 330 | strange 331 | strong 332 | stunning 333 | substantial 334 | successful 335 | succulent 336 | superficial 337 | superior 338 | swanky 339 | sweet 340 | tart 341 | tasty 342 | teeny 343 | tender 344 | tense 345 | terrible 346 | testy 347 | thankful 348 | thick 349 | thoughtful 350 | thoughtless 351 | tight 352 | timely 353 | tricky 354 | trite 355 | troubled 356 | twitter pated 357 | uneven 358 | unsightly 359 | upset 360 | uptight 361 | vast 362 | vexed 363 | victorious 364 | virtuous 365 | vivacious 366 | vivid 367 | wacky 368 | weary 369 | whimsical 370 | whopping 371 | wicked 372 | witty 373 | wobbly 374 | wonderful 375 | worried 376 | yummy 377 | zany 378 | zealous 379 | zippy -------------------------------------------------------------------------------- /readme.md: -------------------------------------------------------------------------------- 1 | # Using MongoDB with Jupyter Labs 2 | 3 | This repository showcases how to leverage MongoDB data in your JupyterLab notebooks via the MongoDB Spark Connector and PySpark. We will load financial security data from MongoDB, calculate a moving average then update the data in MongoDB with these new data. This repository has two components: 4 | - Docker files 5 | - Data generator (optional, see end of this text) 6 | 7 | The Docker files will spin up the following environment: 8 | 9 | ![Image of docker environment](https://github.com/RWaltersMA/mongo-spark-jupyter/blob/master/images/diagram.png) 10 | 11 | ## Getting the environment up and running 12 | 13 | Execute the `run.sh` script file. This runs the docker compose file which creates a three node MongoDB cluster, configures it as a replica set on prt 27017. Spark is also deployed in this environment with a master node located at port 8080 and two worker nodes listening on ports 8081 and 8082 respectively. The MongoDB cluster will be used for both reading data into Spark and writing data from Spark back into MongoDB. 14 | 15 | Note: You may have to mark the .SH file as runnable with the `chmod` command i.e. `chmod +x run.sh` 16 | 17 | **If you are using Windows, launch a PowerShell command window and run the `run.ps1` script instead of run.sh.** 18 | 19 | To verify our Spark master and works are online navigate to http://localhost:8080 20 | 21 | The Jupyter notebook URL which includes its access token will be listed at the end of the script. NOTE: This token will be generated when you run the docker image so it will be different for you. Here is what it looks like: 22 | 23 | ![Image of url with token](https://github.com/RWaltersMA/mongo-spark-jupyter/blob/master/images/url.png) 24 | 25 | If you launch the containers outside of the script, you can still get the URL by issuing the following command: 26 | 27 | `docker exec -it jupyterlab /opt/conda/bin/jupyter notebook list` 28 | 29 | or 30 | 31 | `docker exec -it jupyterlab /opt/conda/bin/jupyter server list` 32 | 33 | 34 | ## Playing with MongoDB data in a Jupyter notebook 35 | 36 | To use MongoDB data with Spark create a new Python Jupyter notebook by navigating to the Jupyter URL and under notebook select Python 3 : 37 | 38 | ![Image of New Python notebook](https://github.com/RWaltersMA/mongo-spark-jupyter/blob/master/images/newpythonnotebook.png) 39 | 40 | Now you can run through the following demo script. You can copy and execute one or more of these lines : 41 | 42 | To start, this will create the SparkSession and set the environment to use our local MongoDB cluster. 43 | 44 | ``` 45 | from pyspark.sql import SparkSession 46 | 47 | spark = SparkSession.\ 48 | builder.\ 49 | appName("pyspark-notebook2").\ 50 | master("spark://spark-master:7077").\ 51 | config("spark.executor.memory", "1g").\ 52 | config("spark.mongodb.input.uri","mongodb://mongo1:27017,mongo2:27018,mongo3:27019/Stocks.Source?replicaSet=rs0").\ 53 | config("spark.mongodb.output.uri","mongodb://mongo1:27017,mongo2:27018,mongo3:27019/Stocks.Source?replicaSet=rs0").\ 54 | config("spark.jars.packages", "org.mongodb.spark:mongo-spark-connector_2.12:3.0.0").\ 55 | getOrCreate() 56 | ``` 57 | Next load the dataframes from MongoDB 58 | ``` 59 | df = spark.read.format("mongo").load() 60 | ``` 61 | Let’s verify the data was loaded by looking at the schema: 62 | ``` 63 | df.printSchema() 64 | ``` 65 | We can see that the tx_time field is loaded as a string. We can easily convert this to a time by issuing a cast statement: 66 | 67 | `df = df.withColumn(‘tx_time”, df.tx_time.cast(‘timestamp’))` 68 | 69 | Next, we can add a new ‘movingAverage’ column that will show a moving average based upon the previous value in the dataset. To do this we leverage the PySpark Window function as follows: 70 | 71 | ```from pyspark.sql.window import Window 72 | from pyspark.sql import functions as F 73 | 74 | movAvg = df.withColumn("movingAverage", F.avg("price") 75 | .over( Window.partitionBy("company_symbol").rowsBetween(-1,1)) ) 76 | ``` 77 | To see our data with the new moving average column we can issue a 78 | movAvg.show(). 79 | 80 | `movAvg.show()` 81 | 82 | To update the data in our MongoDB cluster, we use the save method. 83 | 84 | `movAvg.write.format("mongo").option("replaceDocument", "true").mode("append").save()` 85 | 86 | We can also use the power of the MongoDB Aggregation Framework to pre-filter, sort or aggregate our MongoDB data. 87 | 88 | ``` 89 | pipeline = "[{'$group': {_id:'$company_name', 'maxprice': {$max:'$price'}}},{$sort:{'maxprice':-1}}]" 90 | aggPipelineDF = spark.read.format("mongo").option("pipeline", pipeline).option("partitioner", "MongoSinglePartitioner").load() 91 | aggPipelineDF.show() 92 | ``` 93 | 94 | Finally we can use SparkSQL to issue ANSI-compliant SQL against MongoDB data as follows: 95 | 96 | ``` 97 | movAvg.createOrReplaceTempView("avgs") 98 | sqlDF=spark.sql("SELECT * FROM avgs WHERE movingAverage > 43.0") 99 | sqlDF.show() 100 | ``` 101 | 102 | In this repository we created a JupyterLab notebook, leaded MongoDB data, computed a moving average and updated the collection with the new data. This simple example shows how easy it is to integrate MongoDB data within your Spark data science application. For more information on the Spark Connector check out the [online documentation](https://docs.mongodb.com/spark-connector/master/). For anyone looking for answers to questions feel free to ask them in the [MongoDB community pages](https://developer.mongodb.com/community/forums/c/connectors-integrations/48). The MongoDB Connector for Spark is [open source](https://github.com/mongodb/mongo-spark) under the Apache license. Comments/pull requests are encouraged and welcomed. Happy data exploration! 103 | 104 | 105 | # Data Generator (optional) 106 | 107 | This repository comes with a small sample data set already so it is not necessary to use this tool, however, if you are interested in creating a larger dataset with the same type of financial security data you run the Python3 app within the DataGenerator directory. 108 | 109 | `python3 create-stock-data.py` 110 | 111 | Parameter | Description 112 | --------- | ------------ 113 | -s | number of financial stock symbols to generate, default is 10 114 | -c | MongoDB Connection String, default is mongodb://localhost 115 | -d | MongoDB Database name default is Stocks 116 | -w | MongoDB collection to write to default is Source 117 | -r | MongoDB collection to read from default is Sink 118 | 119 | This data generator tool is designed to write to one collection and read from another. It is also used as part of a Kafka connector demo where the data is flowing through the Kafka system. In our repository example, if you just want to see the data as it is written to the "Source" collection use the -r parameter as follows: 120 | 121 | `python3 create-stock-data.py -r Source` 122 | 123 | -------------------------------------------------------------------------------- /DataGenerator/create-stock-data.py: -------------------------------------------------------------------------------- 1 | import random 2 | from random import seed 3 | from random import randint 4 | import csv 5 | import argparse 6 | import pymongo 7 | from pymongo import errors 8 | from datetime import date, timedelta, datetime as dt 9 | import threading 10 | import sys 11 | import json 12 | import os 13 | import time 14 | 15 | lock = threading.Lock() 16 | 17 | volatility = 1 # .001 18 | 19 | #arrays used to store ficticous securities 20 | company_symbol=[] 21 | company_name=[] 22 | 23 | #the following two functions are used to come up with some fake stock securities 24 | def generate_symbol(a,n,e): 25 | #we need to break this out into its own function to do checks to make sure we dont have duplicate symbols 26 | for x in range(1,len(a)): 27 | symbol=str(a[:x]+n[:1]+e[:1]) 28 | if symbol not in company_symbol: 29 | return symbol 30 | 31 | def generate_securities(numberofsecurities): 32 | with open('adjectives.txt', 'r') as f: 33 | adj = f.read().splitlines() 34 | with open('nouns.txt', 'r') as f: 35 | noun = f.read().splitlines() 36 | with open('endings.txt', 'r') as f: 37 | endings = f.read().splitlines() 38 | for i in range(0,numberofsecurities,1): 39 | a=adj[randint(0,len(adj)-1)].upper() 40 | n=noun[randint(0,len(noun))].upper() 41 | e=endings[randint(0,len(endings)-1)].upper() 42 | company_name.append(a + ' ' + n + ' ' + e) 43 | company_symbol.append(generate_symbol(a,n,e)) 44 | 45 | #this function is used to randomly increase/decrease the value of the stock, tweak the random.uniform line for more dramatic changes 46 | def getvalue(old_value): 47 | change_percent = volatility * \ 48 | random.uniform(0.0, .001) # 001 - flat .01 more 49 | change_amount = old_value * change_percent 50 | if bool(random.getrandbits(1)): 51 | new_value = old_value + change_amount 52 | else: 53 | new_value = old_value - change_amount 54 | return round(new_value, 2) 55 | 56 | #When the conainters launch, we want to not crash out if the MongoDB Server container isn't fully up yet so here we wait until we can connect 57 | def checkmongodbconnection(): 58 | try: 59 | c = pymongo.MongoClient(MONGO_URI) 60 | c.admin.command('ismaster') 61 | time.sleep(2) 62 | c.close() 63 | return True 64 | except pymongo.errors.ServerSelectionTimeoutError as e: 65 | print('Could not connect to server: %s',e) 66 | return False 67 | else: 68 | c.close() 69 | return False 70 | 71 | def main(): 72 | global args 73 | global MONGO_URI 74 | # capture parameters from the command line 75 | parser = argparse.ArgumentParser() 76 | parser.add_argument("-s","--symbols", type=int, default=10, help="number of financial stock symbols") 77 | #MongoDB Connector for Apache Kafka requires the source to be a replica set 78 | parser.add_argument("-c","--connection", default='mongodb://localhost', help="MongoDB connection string") 79 | #if running inside a docker container on the localnet network use default= mongodb://mongo1:27017,mongo2:27018,mongo3:27019/?replicaSet=rs0 80 | parser.add_argument("-d","--database", default='Stocks', help="MongoDB database name") 81 | parser.add_argument("-w","--write", default='Source', help="MongoDB write to collection name") 82 | parser.add_argument("-r","--read", default='Sink', help="MongoDB read from collection") 83 | args = parser.parse_args() 84 | 85 | if args.symbols: 86 | if args.symbols < 1: 87 | args.symbols = 1 88 | 89 | MONGO_URI=args.connection 90 | print(MONGO_URI) 91 | 92 | threads = [] 93 | 94 | generate_securities(args.symbols) 95 | 96 | t = threading.Thread(target=worker, args=[0, int(args.symbols)]) 97 | d = threading.Thread(target=display) 98 | threads.append(t) 99 | threads.append(d) 100 | for x in threads: 101 | x.start() 102 | for y in threads: 103 | y.join() 104 | 105 | def display(): 106 | try: 107 | print('READ: Connecting to MongoDB') 108 | c = pymongo.MongoClient(MONGO_URI) 109 | db = c.get_database(name=args.database) 110 | resume_token = None 111 | pipeline = [{'$match': {'operationType': 'insert'}}] 112 | with db[args.read].watch(pipeline) as stream: 113 | for insert_change in stream: 114 | print(insert_change["fullDocument"]) 115 | resume_token = stream.resume_token 116 | except pymongo.errors.PyMongoError: 117 | if resume_token is None: 118 | print('Failure during change stream initialization') 119 | raise 120 | else: 121 | with db[args.read].watch( 122 | pipeline, resume_after=resume_token) as stream: 123 | for insert_change in stream: 124 | print(insert_change["fullDocument"]) 125 | except: 126 | print('READ: Unexpected error :', sys.excinfo()[0]) 127 | raise 128 | 129 | def worker(workerthread, numofsymbols): 130 | #At the moment we kept the workerthread which is 0 in the future could spin up multiple write threads 131 | try: 132 | #Create an initial value for each security 133 | last_value=[] 134 | for i in range(0,numofsymbols): 135 | last_value.append(round(random.uniform(1, 100), 2)) 136 | 137 | #Wait until MongoDB Server is online and ready for data 138 | while True: 139 | print('WRITE: Checking MongoDB Connection') 140 | if checkmongodbconnection()==False: 141 | print('WRITE: Problem connecting to MongoDB, sleeping 10 seconds') 142 | time.sleep(10) 143 | else: 144 | break 145 | print('WRITE: Successfully connected to MongoDB') 146 | 147 | c = pymongo.MongoClient(MONGO_URI) 148 | db = c.get_database(name=args.database) #'Stocks' 149 | write_status=False 150 | while True: 151 | for i in range(0,numofsymbols): 152 | #Get the last value of this particular security 153 | x = getvalue(last_value[i]) 154 | last_value[i] = x 155 | txtime = dt.now() 156 | try: 157 | #For now we are writing a flat schema model (one document per data point) since the demo focus is the data flow through Kafka 158 | #For performance you would want to use a fixed based schema for time-series data in MongoDB 159 | result=db[args.write].insert_one( { 'company_symbol' : company_symbol[i], 'company_name': company_name[i],'price': x, 'tx_time': txtime.strftime('%Y-%m-%dT%H:%M:%SZ')}) 160 | if write_status==False: 161 | print('WRITE: Successfully writing stock data, when you see data you are looking at the data in the sink collection.\ne.g. It has made a round trip through Kafka back to another MongoDB collection\n\n') 162 | write_status=True 163 | except Exception as e: 164 | print("WRITE: mongo error: " + str(e)) 165 | time.sleep(1) 166 | db.close() 167 | except: 168 | print('WRITE: Unexpected error:', sys.exc_info()[0]) 169 | raise 170 | 171 | main() 172 | 173 | -------------------------------------------------------------------------------- /DataGenerator/nouns.txt: -------------------------------------------------------------------------------- 1 | ATM 2 | CD 3 | SUV 4 | TV 5 | aardvark 6 | abacus 7 | abbey 8 | abbreviation 9 | abdomen 10 | ability 11 | abnormality 12 | abolishment 13 | abortion 14 | abrogation 15 | absence 16 | abundance 17 | abuse 18 | academics 19 | academy 20 | accelerant 21 | accelerator 22 | accent 23 | acceptance 24 | access 25 | accessory 26 | accident 27 | accommodation 28 | accompanist 29 | accomplishment 30 | accord 31 | accordance 32 | accordion 33 | account 34 | accountability 35 | accountant 36 | accounting 37 | accuracy 38 | accusation 39 | acetate 40 | achievement 41 | achiever 42 | acid 43 | acknowledgment 44 | acorn 45 | acoustics 46 | acquaintance 47 | acquisition 48 | acre 49 | acrylic 50 | act 51 | action 52 | activation 53 | activist 54 | activity 55 | actor 56 | actress 57 | acupuncture 58 | ad 59 | adaptation 60 | adapter 61 | addiction 62 | addition 63 | address 64 | adjective 65 | adjustment 66 | admin 67 | administration 68 | administrator 69 | admire 70 | admission 71 | adobe 72 | adoption 73 | adrenalin 74 | adrenaline 75 | adult 76 | adulthood 77 | advance 78 | advancement 79 | advantage 80 | advent 81 | adverb 82 | advertisement 83 | advertising 84 | advice 85 | adviser 86 | advocacy 87 | advocate 88 | affair 89 | affect 90 | affidavit 91 | affiliate 92 | affinity 93 | afoul 94 | afterlife 95 | aftermath 96 | afternoon 97 | aftershave 98 | aftershock 99 | afterthought 100 | age 101 | agency 102 | agenda 103 | agent 104 | aggradation 105 | aggression 106 | aglet 107 | agony 108 | agreement 109 | agriculture 110 | aid 111 | aide 112 | aim 113 | air 114 | airbag 115 | airbus 116 | aircraft 117 | airfare 118 | airfield 119 | airforce 120 | airline 121 | airmail 122 | airman 123 | airplane 124 | airport 125 | airship 126 | airspace 127 | alarm 128 | alb 129 | albatross 130 | album 131 | alcohol 132 | alcove 133 | alder 134 | ale 135 | alert 136 | alfalfa 137 | algebra 138 | algorithm 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1263 | committee 1264 | commodity 1265 | common 1266 | commonsense 1267 | commotion 1268 | communicant 1269 | communication 1270 | communion 1271 | communist 1272 | community 1273 | commuter 1274 | company 1275 | comparison 1276 | compass 1277 | compassion 1278 | compassionate 1279 | compensation 1280 | competence 1281 | competition 1282 | competitor 1283 | complaint 1284 | complement 1285 | completion 1286 | complex 1287 | complexity 1288 | compliance 1289 | complication 1290 | complicity 1291 | compliment 1292 | component 1293 | comportment 1294 | composer 1295 | composite 1296 | composition 1297 | compost 1298 | comprehension 1299 | compress 1300 | compromise 1301 | comptroller 1302 | compulsion 1303 | computer 1304 | comradeship 1305 | con 1306 | concentrate 1307 | concentration 1308 | concept 1309 | conception 1310 | concern 1311 | concert 1312 | conclusion 1313 | concrete 1314 | condition 1315 | conditioner 1316 | condominium 1317 | condor 1318 | conduct 1319 | conductor 1320 | cone 1321 | confectionery 1322 | conference 1323 | confidence 1324 | confidentiality 1325 | configuration 1326 | confirmation 1327 | conflict 1328 | conformation 1329 | confusion 1330 | conga 1331 | congo 1332 | congregation 1333 | congress 1334 | congressman 1335 | congressperson 1336 | conifer 1337 | connection 1338 | connotation 1339 | conscience 1340 | consciousness 1341 | consensus 1342 | consent 1343 | consequence 1344 | conservation 1345 | conservative 1346 | consideration 1347 | consignment 1348 | consist 1349 | consistency 1350 | console 1351 | consonant 1352 | conspiracy 1353 | conspirator 1354 | constant 1355 | constellation 1356 | constitution 1357 | constraint 1358 | construction 1359 | consul 1360 | consulate 1361 | consulting 1362 | consumer 1363 | consumption 1364 | contact 1365 | contact lens 1366 | contagion 1367 | container 1368 | content 1369 | contention 1370 | contest 1371 | context 1372 | continent 1373 | contingency 1374 | continuity 1375 | contour 1376 | contract 1377 | contractor 1378 | contrail 1379 | contrary 1380 | contrast 1381 | contribution 1382 | contributor 1383 | control 1384 | controller 1385 | controversy 1386 | convection 1387 | convenience 1388 | convention 1389 | conversation 1390 | conversion 1391 | convert 1392 | convertible 1393 | conviction 1394 | cook 1395 | cookbook 1396 | cookie 1397 | cooking 1398 | coonskin 1399 | cooperation 1400 | coordination 1401 | coordinator 1402 | cop 1403 | cop-out 1404 | cope 1405 | copper 1406 | copy 1407 | copying 1408 | copyright 1409 | copywriter 1410 | coral 1411 | cord 1412 | corduroy 1413 | core 1414 | cork 1415 | cormorant 1416 | corn 1417 | corner 1418 | cornerstone 1419 | cornet 1420 | cornflakes 1421 | cornmeal 1422 | corporal 1423 | corporation 1424 | corporatism 1425 | corps 1426 | corral 1427 | correspondence 1428 | correspondent 1429 | corridor 1430 | corruption 1431 | corsage 1432 | cosset 1433 | cost 1434 | costume 1435 | cot 1436 | cottage 1437 | cotton 1438 | couch 1439 | cougar 1440 | cough 1441 | council 1442 | councilman 1443 | councilor 1444 | councilperson 1445 | counsel 1446 | counseling 1447 | counselling 1448 | counsellor 1449 | counselor 1450 | count 1451 | counter 1452 | counter-force 1453 | counterpart 1454 | counterterrorism 1455 | countess 1456 | country 1457 | countryside 1458 | county 1459 | couple 1460 | coupon 1461 | courage 1462 | course 1463 | court 1464 | courthouse 1465 | courtroom 1466 | cousin 1467 | covariate 1468 | cover 1469 | coverage 1470 | coverall 1471 | cow 1472 | cowbell 1473 | cowboy 1474 | coyote 1475 | crab 1476 | crack 1477 | cracker 1478 | crackers 1479 | cradle 1480 | craft 1481 | craftsman 1482 | cranberry 1483 | crane 1484 | cranky 1485 | crap 1486 | crash 1487 | crate 1488 | cravat 1489 | craw 1490 | crawdad 1491 | crayfish 1492 | crayon 1493 | crazy 1494 | cream 1495 | creation 1496 | creationism 1497 | creationist 1498 | creative 1499 | creativity 1500 | creator 1501 | creature 1502 | creche 1503 | credential 1504 | credenza 1505 | credibility 1506 | credit 1507 | creditor 1508 | creek 1509 | creme brulee 1510 | crepe 1511 | crest 1512 | crew 1513 | crewman 1514 | crewmate 1515 | crewmember 1516 | crewmen 1517 | cria 1518 | crib 1519 | cribbage 1520 | cricket 1521 | cricketer 1522 | crime 1523 | criminal 1524 | crinoline 1525 | crisis 1526 | crisp 1527 | criteria 1528 | criterion 1529 | critic 1530 | criticism 1531 | crocodile 1532 | crocus 1533 | croissant 1534 | crook 1535 | crop 1536 | cross 1537 | cross-contamination 1538 | cross-stitch 1539 | crotch 1540 | croup 1541 | crow 1542 | crowd 1543 | crown 1544 | crucifixion 1545 | crude 1546 | cruelty 1547 | cruise 1548 | crumb 1549 | crunch 1550 | crusader 1551 | crush 1552 | crust 1553 | cry 1554 | crystal 1555 | crystallography 1556 | cub 1557 | cube 1558 | cuckoo 1559 | cucumber 1560 | cue 1561 | cuff-link 1562 | cuisine 1563 | cultivar 1564 | cultivator 1565 | culture 1566 | culvert 1567 | cummerbund 1568 | cup 1569 | cupboard 1570 | cupcake 1571 | cupola 1572 | curd 1573 | cure 1574 | curio 1575 | curiosity 1576 | curl 1577 | curler 1578 | currant 1579 | currency 1580 | current 1581 | curriculum 1582 | curry 1583 | curse 1584 | cursor 1585 | curtailment 1586 | curtain 1587 | curve 1588 | cushion 1589 | custard 1590 | custody 1591 | custom 1592 | customer 1593 | cut 1594 | cuticle 1595 | cutlet 1596 | cutover 1597 | cutting 1598 | cyclamen 1599 | cycle 1600 | cyclone 1601 | cyclooxygenase 1602 | cygnet 1603 | cylinder 1604 | cymbal 1605 | cynic 1606 | cyst 1607 | cytokine 1608 | cytoplasm 1609 | dad 1610 | daddy 1611 | daffodil 1612 | dagger 1613 | dahlia 1614 | daikon 1615 | daily 1616 | dairy 1617 | daisy 1618 | dam 1619 | damage 1620 | dame 1621 | damn 1622 | dance 1623 | dancer 1624 | dancing 1625 | dandelion 1626 | danger 1627 | dare 1628 | dark 1629 | darkness 1630 | darn 1631 | dart 1632 | dash 1633 | dashboard 1634 | data 1635 | database 1636 | date 1637 | daughter 1638 | dawn 1639 | day 1640 | daybed 1641 | daylight 1642 | dead 1643 | deadline 1644 | deal 1645 | dealer 1646 | dealing 1647 | dearest 1648 | death 1649 | deathwatch 1650 | debate 1651 | debris 1652 | debt 1653 | debtor 1654 | decade 1655 | decadence 1656 | decency 1657 | decimal 1658 | decision 1659 | decision-making 1660 | deck 1661 | declaration 1662 | declination 1663 | decline 1664 | decoder 1665 | decongestant 1666 | decoration 1667 | decrease 1668 | decryption 1669 | dedication 1670 | deduce 1671 | deduction 1672 | deed 1673 | deep 1674 | deer 1675 | default 1676 | defeat 1677 | defendant 1678 | defender 1679 | defense 1680 | deficit 1681 | definition 1682 | deformation 1683 | degradation 1684 | degree 1685 | delay 1686 | deliberation 1687 | delight 1688 | delivery 1689 | demand 1690 | democracy 1691 | democrat 1692 | demon 1693 | demur 1694 | den 1695 | denim 1696 | denominator 1697 | density 1698 | dentist 1699 | deodorant 1700 | department 1701 | departure 1702 | dependency 1703 | dependent 1704 | deployment 1705 | deposit 1706 | deposition 1707 | depot 1708 | depression 1709 | depressive 1710 | depth 1711 | deputy 1712 | derby 1713 | derivation 1714 | derivative 1715 | derrick 1716 | descendant 1717 | descent 1718 | description 1719 | desert 1720 | design 1721 | designation 1722 | designer 1723 | desire 1724 | desk 1725 | desktop 1726 | dessert 1727 | destination 1728 | destiny 1729 | destroyer 1730 | destruction 1731 | detail 1732 | detainee 1733 | detainment 1734 | detection 1735 | detective 1736 | detector 1737 | detention 1738 | determination 1739 | detour 1740 | devastation 1741 | developer 1742 | developing 1743 | development 1744 | developmental 1745 | deviance 1746 | deviation 1747 | device 1748 | devil 1749 | dew 1750 | dhow 1751 | diabetes 1752 | diadem 1753 | diagnosis 1754 | diagram 1755 | dial 1756 | dialect 1757 | dialogue 1758 | diam 1759 | diamond 1760 | diaper 1761 | diaphragm 1762 | diarist 1763 | diary 1764 | dibble 1765 | dick 1766 | dickey 1767 | dictaphone 1768 | dictator 1769 | diction 1770 | dictionary 1771 | die 1772 | diesel 1773 | diet 1774 | difference 1775 | differential 1776 | difficulty 1777 | diffuse 1778 | dig 1779 | digestion 1780 | digestive 1781 | digger 1782 | digging 1783 | digit 1784 | dignity 1785 | dilapidation 1786 | dill 1787 | dilution 1788 | dime 1789 | dimension 1790 | dimple 1791 | diner 1792 | dinghy 1793 | dining 1794 | dinner 1795 | dinosaur 1796 | dioxide 1797 | dip 1798 | diploma 1799 | diplomacy 1800 | dipstick 1801 | direction 1802 | directive 1803 | director 1804 | directory 1805 | dirndl 1806 | dirt 1807 | disability 1808 | disadvantage 1809 | disagreement 1810 | disappointment 1811 | disarmament 1812 | disaster 1813 | discharge 1814 | discipline 1815 | disclaimer 1816 | disclosure 1817 | disco 1818 | disconnection 1819 | discount 1820 | discourse 1821 | discovery 1822 | discrepancy 1823 | discretion 1824 | discrimination 1825 | discussion 1826 | disdain 1827 | disease 1828 | disembodiment 1829 | disengagement 1830 | disguise 1831 | disgust 1832 | dish 1833 | dishwasher 1834 | disk 1835 | disparity 1836 | dispatch 1837 | displacement 1838 | display 1839 | disposal 1840 | disposer 1841 | disposition 1842 | dispute 1843 | disregard 1844 | disruption 1845 | dissemination 1846 | dissonance 1847 | distance 1848 | distinction 1849 | distortion 1850 | distribution 1851 | distributor 1852 | district 1853 | divalent 1854 | divan 1855 | diver 1856 | diversity 1857 | divide 1858 | dividend 1859 | divider 1860 | divine 1861 | diving 1862 | division 1863 | divorce 1864 | doc 1865 | dock 1866 | doctor 1867 | doctorate 1868 | doctrine 1869 | document 1870 | documentary 1871 | documentation 1872 | doe 1873 | dog 1874 | doggie 1875 | dogsled 1876 | dogwood 1877 | doing 1878 | doll 1879 | dollar 1880 | dollop 1881 | dolman 1882 | dolor 1883 | dolphin 1884 | domain 1885 | dome 1886 | domination 1887 | donation 1888 | donkey 1889 | donor 1890 | donut 1891 | door 1892 | doorbell 1893 | doorknob 1894 | doorpost 1895 | doorway 1896 | dory 1897 | dose 1898 | dot 1899 | double 1900 | doubling 1901 | doubt 1902 | doubter 1903 | dough 1904 | doughnut 1905 | down 1906 | downfall 1907 | downforce 1908 | downgrade 1909 | download 1910 | downstairs 1911 | downtown 1912 | downturn 1913 | dozen 1914 | draft 1915 | drag 1916 | dragon 1917 | dragonfly 1918 | dragonfruit 1919 | dragster 1920 | drain 1921 | drainage 1922 | drake 1923 | drama 1924 | dramaturge 1925 | drapes 1926 | draw 1927 | drawbridge 1928 | drawer 1929 | drawing 1930 | dream 1931 | dreamer 1932 | dredger 1933 | dress 1934 | dresser 1935 | dressing 1936 | drill 1937 | drink 1938 | drinking 1939 | drive 1940 | driver 1941 | driveway 1942 | driving 1943 | drizzle 1944 | dromedary 1945 | drop 1946 | drudgery 1947 | drug 1948 | drum 1949 | drummer 1950 | drunk 1951 | dryer 1952 | duck 1953 | duckling 1954 | dud 1955 | dude 1956 | due 1957 | duel 1958 | dueling 1959 | duffel 1960 | dugout 1961 | dulcimer 1962 | dumbwaiter 1963 | dump 1964 | dump truck 1965 | dune 1966 | dune buggy 1967 | dungarees 1968 | dungeon 1969 | duplexer 1970 | duration 1971 | durian 1972 | dusk 1973 | dust 1974 | dust storm 1975 | duster 1976 | duty 1977 | dwarf 1978 | dwell 1979 | dwelling 1980 | dynamics 1981 | dynamite 1982 | dynamo 1983 | dynasty 1984 | dysfunction 1985 | e-book 1986 | e-mail 1987 | e-reader 1988 | eagle 1989 | eaglet 1990 | ear 1991 | eardrum 1992 | earmuffs 1993 | earnings 1994 | earplug 1995 | earring 1996 | earrings 1997 | earth 1998 | earthquake 1999 | earthworm 2000 | ease 2001 | easel 2002 | east 2003 | eating 2004 | eaves 2005 | eavesdropper 2006 | ecclesia 2007 | echidna 2008 | eclipse 2009 | ecliptic 2010 | ecology 2011 | economics 2012 | economy 2013 | ecosystem 2014 | ectoderm 2015 | ectodermal 2016 | ecumenist 2017 | eddy 2018 | edge 2019 | edger 2020 | edible 2021 | editing 2022 | edition 2023 | editor 2024 | editorial 2025 | education 2026 | eel 2027 | effacement 2028 | effect 2029 | effective 2030 | effectiveness 2031 | effector 2032 | efficacy 2033 | efficiency 2034 | effort 2035 | egg 2036 | egghead 2037 | eggnog 2038 | eggplant 2039 | ego 2040 | eicosanoid 2041 | ejector 2042 | elbow 2043 | elderberry 2044 | election 2045 | electricity 2046 | electrocardiogram 2047 | electronics 2048 | element 2049 | elephant 2050 | elevation 2051 | elevator 2052 | eleventh 2053 | elf 2054 | elicit 2055 | eligibility 2056 | elimination 2057 | elite 2058 | elixir 2059 | elk 2060 | ellipse 2061 | elm 2062 | elongation 2063 | elver 2064 | email 2065 | emanate 2066 | embarrassment 2067 | embassy 2068 | embellishment 2069 | embossing 2070 | embryo 2071 | emerald 2072 | emergence 2073 | emergency 2074 | emergent 2075 | emery 2076 | emission 2077 | emitter 2078 | emotion 2079 | emphasis 2080 | empire 2081 | employ 2082 | employee 2083 | employer 2084 | employment 2085 | empowerment 2086 | emu 2087 | enactment 2088 | encirclement 2089 | enclave 2090 | enclosure 2091 | encounter 2092 | encouragement 2093 | encyclopedia 2094 | end 2095 | endive 2096 | endoderm 2097 | endorsement 2098 | endothelium 2099 | endpoint 2100 | enemy 2101 | energy 2102 | enforcement 2103 | engagement 2104 | engine 2105 | engineer 2106 | engineering 2107 | enigma 2108 | enjoyment 2109 | enquiry 2110 | enrollment 2111 | enterprise 2112 | entertainment 2113 | enthusiasm 2114 | entirety 2115 | entity 2116 | entrance 2117 | entree 2118 | entrepreneur 2119 | entry 2120 | envelope 2121 | environment 2122 | envy 2123 | enzyme 2124 | epauliere 2125 | epee 2126 | ephemera 2127 | ephemeris 2128 | ephyra 2129 | epic 2130 | episode 2131 | epithelium 2132 | epoch 2133 | eponym 2134 | epoxy 2135 | equal 2136 | equality 2137 | equation 2138 | equinox 2139 | equipment 2140 | equity 2141 | equivalent 2142 | era 2143 | eraser 2144 | erection 2145 | erosion 2146 | error 2147 | escalator 2148 | escape 2149 | escort 2150 | espadrille 2151 | espalier 2152 | essay 2153 | essence 2154 | essential 2155 | establishment 2156 | estate 2157 | estimate 2158 | estrogen 2159 | estuary 2160 | eternity 2161 | ethernet 2162 | ethics 2163 | ethnicity 2164 | ethyl 2165 | euphonium 2166 | eurocentrism 2167 | evaluation 2168 | evaluator 2169 | evaporation 2170 | eve 2171 | evening 2172 | evening-wear 2173 | event 2174 | everybody 2175 | everyone 2176 | everything 2177 | eviction 2178 | evidence 2179 | evil 2180 | evocation 2181 | evolution 2182 | ex-husband 2183 | ex-wife 2184 | exaggeration 2185 | exam 2186 | examination 2187 | examiner 2188 | example 2189 | exasperation 2190 | excellence 2191 | exception 2192 | excerpt 2193 | excess 2194 | exchange 2195 | excitement 2196 | exclamation 2197 | excursion 2198 | excuse 2199 | execution 2200 | executive 2201 | executor 2202 | exercise 2203 | exhaust 2204 | exhaustion 2205 | exhibit 2206 | exhibition 2207 | exile 2208 | existence 2209 | exit 2210 | exocrine 2211 | expansion 2212 | expansionism 2213 | expectancy 2214 | expectation 2215 | expedition 2216 | expense 2217 | experience 2218 | experiment 2219 | experimentation 2220 | expert 2221 | expertise 2222 | explanation 2223 | exploration 2224 | explorer 2225 | explosion 2226 | export 2227 | expose 2228 | exposition 2229 | exposure 2230 | expression 2231 | extension 2232 | extent 2233 | exterior 2234 | external 2235 | extinction 2236 | extreme 2237 | extremist 2238 | eye 2239 | eyeball 2240 | eyebrow 2241 | eyebrows 2242 | eyeglasses 2243 | eyelash 2244 | eyelashes 2245 | eyelid 2246 | eyelids 2247 | eyeliner 2248 | eyestrain 2249 | eyrie 2250 | fabric 2251 | face 2252 | facelift 2253 | facet 2254 | facility 2255 | facsimile 2256 | fact 2257 | factor 2258 | factory 2259 | faculty 2260 | fahrenheit 2261 | fail 2262 | failure 2263 | fairness 2264 | fairy 2265 | faith 2266 | faithful 2267 | fall 2268 | fallacy 2269 | falling-out 2270 | fame 2271 | familiar 2272 | familiarity 2273 | family 2274 | fan 2275 | fang 2276 | fanlight 2277 | fanny 2278 | fanny-pack 2279 | fantasy 2280 | farm 2281 | farmer 2282 | farming 2283 | farmland 2284 | farrow 2285 | fascia 2286 | fashion 2287 | fat 2288 | fate 2289 | father 2290 | father-in-law 2291 | fatigue 2292 | fatigues 2293 | faucet 2294 | fault 2295 | fav 2296 | fava 2297 | favor 2298 | favorite 2299 | fawn 2300 | fax 2301 | fear 2302 | feast 2303 | feather 2304 | feature 2305 | fedelini 2306 | federation 2307 | fedora 2308 | fee 2309 | feed 2310 | feedback 2311 | feeding 2312 | feel 2313 | feeling 2314 | fellow 2315 | felony 2316 | female 2317 | fen 2318 | fence 2319 | fencing 2320 | fender 2321 | feng 2322 | fennel 2323 | ferret 2324 | ferry 2325 | ferryboat 2326 | fertilizer 2327 | festival 2328 | fetus 2329 | few 2330 | fiber 2331 | fiberglass 2332 | fibre 2333 | fibroblast 2334 | fibrosis 2335 | ficlet 2336 | fiction 2337 | fiddle 2338 | field 2339 | fiery 2340 | fiesta 2341 | fifth 2342 | fig 2343 | fight 2344 | fighter 2345 | figure 2346 | figurine 2347 | file 2348 | filing 2349 | fill 2350 | fillet 2351 | filly 2352 | film 2353 | filter 2354 | filth 2355 | final 2356 | finance 2357 | financing 2358 | finding 2359 | fine 2360 | finer 2361 | finger 2362 | fingerling 2363 | fingernail 2364 | finish 2365 | finisher 2366 | fir 2367 | fire 2368 | fireman 2369 | fireplace 2370 | firewall 2371 | firm 2372 | first 2373 | fish 2374 | fishbone 2375 | fisherman 2376 | fishery 2377 | fishing 2378 | fishmonger 2379 | fishnet 2380 | fisting 2381 | fit 2382 | fitness 2383 | fix 2384 | fixture 2385 | flag 2386 | flair 2387 | flame 2388 | flan 2389 | flanker 2390 | flare 2391 | flash 2392 | flat 2393 | flatboat 2394 | flavor 2395 | flax 2396 | fleck 2397 | fledgling 2398 | fleece 2399 | flesh 2400 | flexibility 2401 | flick 2402 | flicker 2403 | flight 2404 | flint 2405 | flintlock 2406 | flip-flops 2407 | flock 2408 | flood 2409 | floodplain 2410 | floor 2411 | floozie 2412 | flour 2413 | flow 2414 | flower 2415 | flu 2416 | flugelhorn 2417 | fluke 2418 | flume 2419 | flung 2420 | flute 2421 | fly 2422 | flytrap 2423 | foal 2424 | foam 2425 | fob 2426 | focus 2427 | fog 2428 | fold 2429 | folder 2430 | folk 2431 | folklore 2432 | follower 2433 | following 2434 | fondue 2435 | font 2436 | food 2437 | foodstuffs 2438 | fool 2439 | foot 2440 | footage 2441 | football 2442 | footnote 2443 | footprint 2444 | footrest 2445 | footstep 2446 | footstool 2447 | footwear 2448 | forage 2449 | forager 2450 | foray 2451 | force 2452 | ford 2453 | forearm 2454 | forebear 2455 | forecast 2456 | forehead 2457 | foreigner 2458 | forelimb 2459 | forest 2460 | forestry 2461 | forever 2462 | forgery 2463 | fork 2464 | form 2465 | formal 2466 | formamide 2467 | format 2468 | formation 2469 | former 2470 | formicarium 2471 | formula 2472 | fort 2473 | forte 2474 | fortnight 2475 | fortress 2476 | fortune 2477 | forum 2478 | foundation 2479 | founder 2480 | founding 2481 | fountain 2482 | fourths 2483 | fowl 2484 | fox 2485 | foxglove 2486 | fraction 2487 | fragrance 2488 | frame 2489 | framework 2490 | fratricide 2491 | fraud 2492 | fraudster 2493 | freak 2494 | freckle 2495 | freedom 2496 | freelance 2497 | freezer 2498 | freezing 2499 | freight 2500 | freighter 2501 | frenzy 2502 | freon 2503 | frequency 2504 | fresco 2505 | friction 2506 | fridge 2507 | friend 2508 | friendship 2509 | fries 2510 | frigate 2511 | fright 2512 | fringe 2513 | fritter 2514 | frock 2515 | frog 2516 | front 2517 | frontier 2518 | frost 2519 | frosting 2520 | frown 2521 | fruit 2522 | frustration 2523 | fry 2524 | fuck 2525 | fuel 2526 | fugato 2527 | fulfillment 2528 | full 2529 | fun 2530 | function 2531 | functionality 2532 | fund 2533 | funding 2534 | fundraising 2535 | funeral 2536 | fur 2537 | furnace 2538 | furniture 2539 | furry 2540 | fusarium 2541 | futon 2542 | future 2543 | gadget 2544 | gaffe 2545 | gaffer 2546 | gain 2547 | gaiters 2548 | gale 2549 | gall-bladder 2550 | gallery 2551 | galley 2552 | gallon 2553 | galoshes 2554 | gambling 2555 | game 2556 | gamebird 2557 | gaming 2558 | gamma-ray 2559 | gander 2560 | gang 2561 | gap 2562 | garage 2563 | garb 2564 | garbage 2565 | garden 2566 | garlic 2567 | garment 2568 | garter 2569 | gas 2570 | gasket 2571 | gasoline 2572 | gasp 2573 | gastronomy 2574 | gastropod 2575 | gate 2576 | gateway 2577 | gather 2578 | gathering 2579 | gator 2580 | gauge 2581 | gauntlet 2582 | gavel 2583 | gazebo 2584 | gazelle 2585 | gear 2586 | gearshift 2587 | geek 2588 | gel 2589 | gelatin 2590 | gelding 2591 | gem 2592 | gemsbok 2593 | gender 2594 | gene 2595 | general 2596 | generation 2597 | generator 2598 | generosity 2599 | genetics 2600 | genie 2601 | genius 2602 | genocide 2603 | genre 2604 | gentleman 2605 | geography 2606 | geology 2607 | geometry 2608 | geranium 2609 | gerbil 2610 | gesture 2611 | geyser 2612 | gherkin 2613 | ghost 2614 | giant 2615 | gift 2616 | gig 2617 | gigantism 2618 | giggle 2619 | ginger 2620 | gingerbread 2621 | ginseng 2622 | giraffe 2623 | girdle 2624 | girl 2625 | girlfriend 2626 | git 2627 | glacier 2628 | gladiolus 2629 | glance 2630 | gland 2631 | glass 2632 | glasses 2633 | glee 2634 | glen 2635 | glider 2636 | gliding 2637 | glimpse 2638 | globe 2639 | glockenspiel 2640 | gloom 2641 | glory 2642 | glove 2643 | glow 2644 | glucose 2645 | glue 2646 | glut 2647 | glutamate 2648 | gnat 2649 | gnu 2650 | go-kart 2651 | goal 2652 | goat 2653 | gobbler 2654 | god 2655 | goddess 2656 | godfather 2657 | godmother 2658 | godparent 2659 | goggles 2660 | going 2661 | gold 2662 | goldfish 2663 | golf 2664 | gondola 2665 | gong 2666 | good 2667 | good-bye 2668 | goodbye 2669 | goodie 2670 | goodness 2671 | goodnight 2672 | goodwill 2673 | goose 2674 | gopher 2675 | gorilla 2676 | gosling 2677 | gossip 2678 | governance 2679 | government 2680 | governor 2681 | gown 2682 | grab-bag 2683 | grace 2684 | grade 2685 | gradient 2686 | graduate 2687 | graduation 2688 | graffiti 2689 | graft 2690 | grain 2691 | gram 2692 | grammar 2693 | gran 2694 | grand 2695 | grandchild 2696 | granddaughter 2697 | grandfather 2698 | grandma 2699 | grandmom 2700 | grandmother 2701 | grandpa 2702 | grandparent 2703 | grandson 2704 | granny 2705 | granola 2706 | grant 2707 | grape 2708 | grapefruit 2709 | graph 2710 | graphic 2711 | grasp 2712 | grass 2713 | grasshopper 2714 | grassland 2715 | gratitude 2716 | gravel 2717 | gravitas 2718 | gravity 2719 | gravy 2720 | gray 2721 | grease 2722 | great-grandfather 2723 | great-grandmother 2724 | greatness 2725 | greed 2726 | green 2727 | greenhouse 2728 | greens 2729 | grenade 2730 | grey 2731 | grid 2732 | grief 2733 | grill 2734 | grin 2735 | grip 2736 | gripper 2737 | grit 2738 | grocery 2739 | ground 2740 | group 2741 | grouper 2742 | grouse 2743 | grove 2744 | growth 2745 | grub 2746 | guacamole 2747 | guarantee 2748 | guard 2749 | guava 2750 | guerrilla 2751 | guess 2752 | guest 2753 | guestbook 2754 | guidance 2755 | guide 2756 | guideline 2757 | guilder 2758 | guilt 2759 | guilty 2760 | guinea 2761 | guitar 2762 | guitarist 2763 | gum 2764 | gumshoe 2765 | gun 2766 | gunpowder 2767 | gutter 2768 | guy 2769 | gym 2770 | gymnast 2771 | gymnastics 2772 | gynaecology 2773 | gyro 2774 | habit 2775 | habitat 2776 | hacienda 2777 | hacksaw 2778 | hackwork 2779 | hail 2780 | hair 2781 | haircut 2782 | hake 2783 | half 2784 | half-brother 2785 | half-sister 2786 | halibut 2787 | hall 2788 | halloween 2789 | hallway 2790 | halt 2791 | ham 2792 | hamburger 2793 | hammer 2794 | hammock 2795 | hamster 2796 | hand 2797 | hand-holding 2798 | handball 2799 | handful 2800 | handgun 2801 | handicap 2802 | handle 2803 | handlebar 2804 | handmaiden 2805 | handover 2806 | handrail 2807 | handsaw 2808 | hanger 2809 | happening 2810 | happiness 2811 | harald 2812 | harbor 2813 | harbour 2814 | hard-hat 2815 | hardboard 2816 | hardcover 2817 | hardening 2818 | hardhat 2819 | hardship 2820 | hardware 2821 | hare 2822 | harm 2823 | harmonica 2824 | harmonise 2825 | harmonize 2826 | harmony 2827 | harp 2828 | harpooner 2829 | harpsichord 2830 | harvest 2831 | harvester 2832 | hash 2833 | hashtag 2834 | hassock 2835 | haste 2836 | hat 2837 | hatbox 2838 | hatchet 2839 | hatchling 2840 | hate 2841 | hatred 2842 | haunt 2843 | haven 2844 | haversack 2845 | havoc 2846 | hawk 2847 | hay 2848 | haze 2849 | hazel 2850 | hazelnut 2851 | head 2852 | headache 2853 | headlight 2854 | headline 2855 | headphones 2856 | headquarters 2857 | headrest 2858 | health 2859 | health-care 2860 | hearing 2861 | hearsay 2862 | heart 2863 | heart-throb 2864 | heartache 2865 | heartbeat 2866 | hearth 2867 | hearthside 2868 | heartwood 2869 | heat 2870 | heater 2871 | heating 2872 | heaven 2873 | heavy 2874 | hectare 2875 | hedge 2876 | hedgehog 2877 | heel 2878 | heifer 2879 | height 2880 | heir 2881 | heirloom 2882 | helicopter 2883 | helium 2884 | hell 2885 | hellcat 2886 | hello 2887 | helmet 2888 | helo 2889 | help 2890 | hemisphere 2891 | hemp 2892 | hen 2893 | hepatitis 2894 | herb 2895 | herbs 2896 | heritage 2897 | hermit 2898 | hero 2899 | heroine 2900 | heron 2901 | herring 2902 | hesitation 2903 | heterosexual 2904 | hexagon 2905 | heyday 2906 | hiccups 2907 | hide 2908 | hierarchy 2909 | high 2910 | high-rise 2911 | highland 2912 | highlight 2913 | highway 2914 | hike 2915 | hiking 2916 | hill 2917 | hint 2918 | hip 2919 | hippodrome 2920 | hippopotamus 2921 | hire 2922 | hiring 2923 | historian 2924 | history 2925 | hit 2926 | hive 2927 | hobbit 2928 | hobby 2929 | hockey 2930 | hoe 2931 | hog 2932 | hold 2933 | holder 2934 | hole 2935 | holiday 2936 | home 2937 | homeland 2938 | homeownership 2939 | hometown 2940 | homework 2941 | homicide 2942 | homogenate 2943 | homonym 2944 | homosexual 2945 | homosexuality 2946 | honesty 2947 | honey 2948 | honeybee 2949 | honeydew 2950 | honor 2951 | honoree 2952 | hood 2953 | hoof 2954 | hook 2955 | hop 2956 | hope 2957 | hops 2958 | horde 2959 | horizon 2960 | hormone 2961 | horn 2962 | hornet 2963 | horror 2964 | horse 2965 | horseradish 2966 | horst 2967 | hose 2968 | hosiery 2969 | hospice 2970 | hospital 2971 | hospitalisation 2972 | hospitality 2973 | hospitalization 2974 | host 2975 | hostel 2976 | hostess 2977 | hotdog 2978 | hotel 2979 | hound 2980 | hour 2981 | hourglass 2982 | house 2983 | houseboat 2984 | household 2985 | housewife 2986 | housework 2987 | housing 2988 | hovel 2989 | hovercraft 2990 | howard 2991 | howitzer 2992 | hub 2993 | hubcap 2994 | hubris 2995 | hug 2996 | hugger 2997 | hull 2998 | human 2999 | humanity 3000 | humidity 3001 | hummus 3002 | humor 3003 | humour 3004 | hunchback 3005 | hundred 3006 | hunger 3007 | hunt 3008 | hunter 3009 | hunting 3010 | hurdle 3011 | hurdler 3012 | hurricane 3013 | hurry 3014 | hurt 3015 | husband 3016 | hut 3017 | hutch 3018 | hyacinth 3019 | hybridisation 3020 | hybridization 3021 | hydrant 3022 | hydraulics 3023 | hydrocarb 3024 | hydrocarbon 3025 | hydrofoil 3026 | hydrogen 3027 | hydrolyse 3028 | hydrolysis 3029 | hydrolyze 3030 | hydroxyl 3031 | hyena 3032 | hygienic 3033 | hype 3034 | hyphenation 3035 | hypochondria 3036 | hypothermia 3037 | hypothesis 3038 | ice 3039 | ice-cream 3040 | iceberg 3041 | icebreaker 3042 | icecream 3043 | icicle 3044 | icing 3045 | icon 3046 | icy 3047 | id 3048 | idea 3049 | ideal 3050 | identification 3051 | identity 3052 | ideology 3053 | idiom 3054 | idiot 3055 | igloo 3056 | ignorance 3057 | ignorant 3058 | ikebana 3059 | illegal 3060 | illiteracy 3061 | illness 3062 | illusion 3063 | illustration 3064 | image 3065 | imagination 3066 | imbalance 3067 | imitation 3068 | immigrant 3069 | immigration 3070 | immortal 3071 | impact 3072 | impairment 3073 | impala 3074 | impediment 3075 | implement 3076 | implementation 3077 | implication 3078 | import 3079 | importance 3080 | impostor 3081 | impress 3082 | impression 3083 | imprisonment 3084 | impropriety 3085 | improvement 3086 | impudence 3087 | impulse 3088 | in-joke 3089 | in-laws 3090 | inability 3091 | inauguration 3092 | inbox 3093 | incandescence 3094 | incarnation 3095 | incense 3096 | incentive 3097 | inch 3098 | incidence 3099 | incident 3100 | incision 3101 | inclusion 3102 | income 3103 | incompetence 3104 | inconvenience 3105 | increase 3106 | incubation 3107 | independence 3108 | independent 3109 | index 3110 | indication 3111 | indicator 3112 | indigence 3113 | individual 3114 | industrialisation 3115 | industrialization 3116 | industry 3117 | inequality 3118 | inevitable 3119 | infancy 3120 | infant 3121 | infarction 3122 | infection 3123 | infiltration 3124 | infinite 3125 | infix 3126 | inflammation 3127 | inflation 3128 | influence 3129 | influx 3130 | info 3131 | information 3132 | infrastructure 3133 | infusion 3134 | inglenook 3135 | ingrate 3136 | ingredient 3137 | inhabitant 3138 | inheritance 3139 | inhibition 3140 | inhibitor 3141 | initial 3142 | initialise 3143 | initialize 3144 | initiative 3145 | injunction 3146 | injury 3147 | injustice 3148 | ink 3149 | inlay 3150 | inn 3151 | innervation 3152 | innocence 3153 | innocent 3154 | innovation 3155 | input 3156 | inquiry 3157 | inscription 3158 | insect 3159 | insectarium 3160 | insert 3161 | inside 3162 | insight 3163 | insolence 3164 | insomnia 3165 | inspection 3166 | inspector 3167 | inspiration 3168 | installation 3169 | instance 3170 | instant 3171 | instinct 3172 | institute 3173 | institution 3174 | instruction 3175 | instructor 3176 | instrument 3177 | instrumentalist 3178 | instrumentation 3179 | insulation 3180 | insurance 3181 | insurgence 3182 | insurrection 3183 | integer 3184 | integral 3185 | integration 3186 | integrity 3187 | intellect 3188 | intelligence 3189 | intensity 3190 | intent 3191 | intention 3192 | intentionality 3193 | interaction 3194 | interchange 3195 | interconnection 3196 | intercourse 3197 | interest 3198 | interface 3199 | interferometer 3200 | interior 3201 | interject 3202 | interloper 3203 | internet 3204 | interpretation 3205 | interpreter 3206 | interval 3207 | intervenor 3208 | intervention 3209 | interview 3210 | interviewer 3211 | intestine 3212 | introduction 3213 | intuition 3214 | invader 3215 | invasion 3216 | invention 3217 | inventor 3218 | inventory 3219 | inverse 3220 | inversion 3221 | investigation 3222 | investigator 3223 | investment 3224 | investor 3225 | invitation 3226 | invite 3227 | invoice 3228 | involvement 3229 | iridescence 3230 | iris 3231 | iron 3232 | ironclad 3233 | irony 3234 | irrigation 3235 | ischemia 3236 | island 3237 | isogloss 3238 | isolation 3239 | issue 3240 | item 3241 | itinerary 3242 | ivory 3243 | jack 3244 | jackal 3245 | jacket 3246 | jackfruit 3247 | jade 3248 | jaguar 3249 | jail 3250 | jailhouse 3251 | jalapeño 3252 | jam 3253 | jar 3254 | jasmine 3255 | jaw 3256 | jazz 3257 | jealousy 3258 | jeans 3259 | jeep 3260 | jelly 3261 | jellybeans 3262 | jellyfish 3263 | jerk 3264 | jet 3265 | jewel 3266 | jeweller 3267 | jewellery 3268 | jewelry 3269 | jicama 3270 | jiffy 3271 | job 3272 | jockey 3273 | jodhpurs 3274 | joey 3275 | jogging 3276 | joint 3277 | joke 3278 | jot 3279 | journal 3280 | journalism 3281 | journalist 3282 | journey 3283 | joy 3284 | judge 3285 | judgment 3286 | judo 3287 | jug 3288 | juggernaut 3289 | juice 3290 | julienne 3291 | jumbo 3292 | jump 3293 | jumper 3294 | jumpsuit 3295 | jungle 3296 | junior 3297 | junk 3298 | junker 3299 | junket 3300 | jury 3301 | justice 3302 | justification 3303 | jute 3304 | kale 3305 | kamikaze 3306 | kangaroo 3307 | karate 3308 | kayak 3309 | kazoo 3310 | kebab 3311 | keep 3312 | keeper 3313 | kendo 3314 | kennel 3315 | ketch 3316 | ketchup 3317 | kettle 3318 | kettledrum 3319 | key 3320 | keyboard 3321 | keyboarding 3322 | keystone 3323 | kick 3324 | kick-off 3325 | kid 3326 | kidney 3327 | kielbasa 3328 | kill 3329 | killer 3330 | killing 3331 | kilogram 3332 | kilometer 3333 | kilt 3334 | kimono 3335 | kinase 3336 | kind 3337 | kindness 3338 | king 3339 | kingdom 3340 | kingfish 3341 | kiosk 3342 | kiss 3343 | kit 3344 | kitchen 3345 | kite 3346 | kitsch 3347 | kitten 3348 | kitty 3349 | kiwi 3350 | knee 3351 | kneejerk 3352 | knickers 3353 | knife 3354 | knife-edge 3355 | knight 3356 | knitting 3357 | knock 3358 | knot 3359 | know-how 3360 | knowledge 3361 | knuckle 3362 | koala 3363 | kohlrabi 3364 | kumquat 3365 | lab 3366 | label 3367 | labor 3368 | laboratory 3369 | laborer 3370 | labour 3371 | labourer 3372 | lace 3373 | lack 3374 | lacquerware 3375 | lad 3376 | ladder 3377 | ladle 3378 | lady 3379 | ladybug 3380 | lag 3381 | lake 3382 | lamb 3383 | lambkin 3384 | lament 3385 | lamp 3386 | lanai 3387 | land 3388 | landform 3389 | landing 3390 | landmine 3391 | landscape 3392 | lane 3393 | language 3394 | lantern 3395 | lap 3396 | laparoscope 3397 | lapdog 3398 | laptop 3399 | larch 3400 | lard 3401 | larder 3402 | lark 3403 | larva 3404 | laryngitis 3405 | lasagna 3406 | lashes 3407 | last 3408 | latency 3409 | latex 3410 | lathe 3411 | latitude 3412 | latte 3413 | latter 3414 | laugh 3415 | laughter 3416 | laundry 3417 | lava 3418 | law 3419 | lawmaker 3420 | lawn 3421 | lawsuit 3422 | lawyer 3423 | lay 3424 | layer 3425 | layout 3426 | lead 3427 | leader 3428 | leadership 3429 | leading 3430 | leaf 3431 | league 3432 | leaker 3433 | leap 3434 | learning 3435 | leash 3436 | leather 3437 | leave 3438 | leaver 3439 | lecture 3440 | leek 3441 | leeway 3442 | left 3443 | leg 3444 | legacy 3445 | legal 3446 | legend 3447 | legging 3448 | legislation 3449 | legislator 3450 | legislature 3451 | legitimacy 3452 | legume 3453 | leisure 3454 | lemon 3455 | lemonade 3456 | lemur 3457 | lender 3458 | lending 3459 | length 3460 | lens 3461 | lentil 3462 | leopard 3463 | leprosy 3464 | leptocephalus 3465 | lesbian 3466 | lesson 3467 | letter 3468 | lettuce 3469 | level 3470 | lever 3471 | leverage 3472 | leveret 3473 | liability 3474 | liar 3475 | liberty 3476 | libido 3477 | library 3478 | licence 3479 | license 3480 | licensing 3481 | licorice 3482 | lid 3483 | lie 3484 | lieu 3485 | lieutenant 3486 | life 3487 | lifestyle 3488 | lifetime 3489 | lift 3490 | ligand 3491 | light 3492 | lighting 3493 | lightning 3494 | lightscreen 3495 | ligula 3496 | likelihood 3497 | likeness 3498 | lilac 3499 | lily 3500 | limb 3501 | lime 3502 | limestone 3503 | limit 3504 | limitation 3505 | limo 3506 | line 3507 | linen 3508 | liner 3509 | linguist 3510 | linguistics 3511 | lining 3512 | link 3513 | linkage 3514 | linseed 3515 | lion 3516 | lip 3517 | lipid 3518 | lipoprotein 3519 | lipstick 3520 | liquid 3521 | liquidity 3522 | liquor 3523 | list 3524 | listening 3525 | listing 3526 | literate 3527 | literature 3528 | litigation 3529 | litmus 3530 | litter 3531 | littleneck 3532 | liver 3533 | livestock 3534 | living 3535 | lizard 3536 | llama 3537 | load 3538 | loading 3539 | loaf 3540 | loafer 3541 | loan 3542 | lobby 3543 | lobotomy 3544 | lobster 3545 | local 3546 | locality 3547 | location 3548 | lock 3549 | locker 3550 | locket 3551 | locomotive 3552 | locust 3553 | lode 3554 | loft 3555 | log 3556 | loggia 3557 | logic 3558 | login 3559 | logistics 3560 | logo 3561 | loincloth 3562 | lollipop 3563 | loneliness 3564 | longboat 3565 | longitude 3566 | look 3567 | lookout 3568 | loop 3569 | loophole 3570 | loquat 3571 | lord 3572 | loss 3573 | lot 3574 | lotion 3575 | lottery 3576 | lounge 3577 | louse 3578 | lout 3579 | love 3580 | lover 3581 | lox 3582 | loyalty 3583 | luck 3584 | luggage 3585 | lumber 3586 | lumberman 3587 | lunch 3588 | luncheonette 3589 | lunchmeat 3590 | lunchroom 3591 | lung 3592 | lunge 3593 | lust 3594 | lute 3595 | luxury 3596 | lychee 3597 | lycra 3598 | lye 3599 | lymphocyte 3600 | lynx 3601 | lyocell 3602 | lyre 3603 | lyrics 3604 | lysine 3605 | mRNA 3606 | macadamia 3607 | macaroni 3608 | macaroon 3609 | macaw 3610 | machine 3611 | machinery 3612 | macrame 3613 | macro 3614 | macrofauna 3615 | madam 3616 | maelstrom 3617 | maestro 3618 | magazine 3619 | maggot 3620 | magic 3621 | magnet 3622 | magnitude 3623 | maid 3624 | maiden 3625 | mail 3626 | mailbox 3627 | mailer 3628 | mailing 3629 | mailman 3630 | main 3631 | mainland 3632 | mainstream 3633 | maintainer 3634 | maintenance 3635 | maize 3636 | major 3637 | major-league 3638 | majority 3639 | makeover 3640 | maker 3641 | makeup 3642 | making 3643 | male 3644 | malice 3645 | mall 3646 | mallard 3647 | mallet 3648 | malnutrition 3649 | mama 3650 | mambo 3651 | mammoth 3652 | man 3653 | manacle 3654 | management 3655 | manager 3656 | manatee 3657 | mandarin 3658 | mandate 3659 | mandolin 3660 | mangle 3661 | mango 3662 | mangrove 3663 | manhunt 3664 | maniac 3665 | manicure 3666 | manifestation 3667 | manipulation 3668 | mankind 3669 | manner 3670 | manor 3671 | mansard 3672 | manservant 3673 | mansion 3674 | mantel 3675 | mantle 3676 | mantua 3677 | manufacturer 3678 | manufacturing 3679 | many 3680 | map 3681 | maple 3682 | mapping 3683 | maracas 3684 | marathon 3685 | marble 3686 | march 3687 | mare 3688 | margarine 3689 | margin 3690 | mariachi 3691 | marimba 3692 | marines 3693 | marionberry 3694 | mark 3695 | marker 3696 | market 3697 | marketer 3698 | marketing 3699 | marketplace 3700 | marksman 3701 | markup 3702 | marmalade 3703 | marriage 3704 | marsh 3705 | marshland 3706 | marshmallow 3707 | marten 3708 | marxism 3709 | mascara 3710 | mask 3711 | masonry 3712 | mass 3713 | massage 3714 | mast 3715 | master 3716 | masterpiece 3717 | mastication 3718 | mastoid 3719 | mat 3720 | match 3721 | matchmaker 3722 | mate 3723 | material 3724 | maternity 3725 | math 3726 | mathematics 3727 | matrix 3728 | matter 3729 | mattock 3730 | mattress 3731 | max 3732 | maximum 3733 | maybe 3734 | mayonnaise 3735 | mayor 3736 | meadow 3737 | meal 3738 | mean 3739 | meander 3740 | meaning 3741 | means 3742 | meantime 3743 | measles 3744 | measure 3745 | measurement 3746 | meat 3747 | meatball 3748 | meatloaf 3749 | mecca 3750 | mechanic 3751 | mechanism 3752 | med 3753 | medal 3754 | media 3755 | median 3756 | medication 3757 | medicine 3758 | medium 3759 | meet 3760 | meeting 3761 | melatonin 3762 | melody 3763 | melon 3764 | member 3765 | membership 3766 | membrane 3767 | meme 3768 | memo 3769 | memorial 3770 | memory 3771 | men 3772 | menopause 3773 | menorah 3774 | mention 3775 | mentor 3776 | menu 3777 | merchandise 3778 | merchant 3779 | mercury 3780 | meridian 3781 | meringue 3782 | merit 3783 | mesenchyme 3784 | mess 3785 | message 3786 | messenger 3787 | messy 3788 | metabolite 3789 | metal 3790 | metallurgist 3791 | metaphor 3792 | meteor 3793 | meteorology 3794 | meter 3795 | methane 3796 | method 3797 | methodology 3798 | metric 3799 | metro 3800 | metronome 3801 | mezzanine 3802 | microlending 3803 | micronutrient 3804 | microphone 3805 | microwave 3806 | mid-course 3807 | midden 3808 | middle 3809 | middleman 3810 | midline 3811 | midnight 3812 | midwife 3813 | might 3814 | migrant 3815 | migration 3816 | mile 3817 | mileage 3818 | milepost 3819 | milestone 3820 | military 3821 | milk 3822 | milkshake 3823 | mill 3824 | millennium 3825 | millet 3826 | millimeter 3827 | million 3828 | millisecond 3829 | millstone 3830 | mime 3831 | mimosa 3832 | min 3833 | mincemeat 3834 | mind 3835 | mine 3836 | mineral 3837 | mineshaft 3838 | mini 3839 | mini-skirt 3840 | minibus 3841 | minimalism 3842 | minimum 3843 | mining 3844 | minion 3845 | minister 3846 | mink 3847 | minnow 3848 | minor 3849 | minor-league 3850 | minority 3851 | mint 3852 | minute 3853 | miracle 3854 | mirror 3855 | miscarriage 3856 | miscommunication 3857 | misfit 3858 | misnomer 3859 | misogyny 3860 | misplacement 3861 | misreading 3862 | misrepresentation 3863 | miss 3864 | missile 3865 | mission 3866 | missionary 3867 | mist 3868 | mistake 3869 | mister 3870 | misunderstand 3871 | miter 3872 | mitten 3873 | mix 3874 | mixer 3875 | mixture 3876 | moai 3877 | moat 3878 | mob 3879 | mobile 3880 | mobility 3881 | mobster 3882 | moccasins 3883 | mocha 3884 | mochi 3885 | mode 3886 | model 3887 | modeling 3888 | modem 3889 | modernist 3890 | modernity 3891 | modification 3892 | molar 3893 | molasses 3894 | molding 3895 | mole 3896 | molecule 3897 | mom 3898 | moment 3899 | monastery 3900 | monasticism 3901 | money 3902 | monger 3903 | monitor 3904 | monitoring 3905 | monk 3906 | monkey 3907 | monocle 3908 | monopoly 3909 | monotheism 3910 | monsoon 3911 | monster 3912 | month 3913 | monument 3914 | mood 3915 | moody 3916 | moon 3917 | moonlight 3918 | moonscape 3919 | moonshine 3920 | moose 3921 | mop 3922 | morale 3923 | morbid 3924 | morbidity 3925 | morning 3926 | moron 3927 | morphology 3928 | morsel 3929 | mortal 3930 | mortality 3931 | mortgage 3932 | mortise 3933 | mosque 3934 | mosquito 3935 | most 3936 | motel 3937 | moth 3938 | mother 3939 | mother-in-law 3940 | motion 3941 | motivation 3942 | motive 3943 | motor 3944 | motorboat 3945 | motorcar 3946 | motorcycle 3947 | mound 3948 | mountain 3949 | mouse 3950 | mouser 3951 | mousse 3952 | moustache 3953 | mouth 3954 | mouton 3955 | movement 3956 | mover 3957 | movie 3958 | mower 3959 | mozzarella 3960 | mud 3961 | muffin 3962 | mug 3963 | mukluk 3964 | mule 3965 | multimedia 3966 | murder 3967 | muscat 3968 | muscatel 3969 | muscle 3970 | musculature 3971 | museum 3972 | mushroom 3973 | music 3974 | music-box 3975 | music-making 3976 | musician 3977 | muskrat 3978 | mussel 3979 | mustache 3980 | mustard 3981 | mutation 3982 | mutt 3983 | mutton 3984 | mycoplasma 3985 | mystery 3986 | myth 3987 | mythology 3988 | nail 3989 | name 3990 | naming 3991 | nanoparticle 3992 | napkin 3993 | narrative 3994 | nasal 3995 | nation 3996 | nationality 3997 | native 3998 | naturalisation 3999 | nature 4000 | navigation 4001 | necessity 4002 | neck 4003 | necklace 4004 | necktie 4005 | nectar 4006 | nectarine 4007 | need 4008 | needle 4009 | neglect 4010 | negligee 4011 | negotiation 4012 | neighbor 4013 | neighborhood 4014 | neighbour 4015 | neighbourhood 4016 | neologism 4017 | neon 4018 | neonate 4019 | nephew 4020 | nerve 4021 | nest 4022 | nestling 4023 | nestmate 4024 | net 4025 | netball 4026 | netbook 4027 | netsuke 4028 | network 4029 | networking 4030 | neurobiologist 4031 | neuron 4032 | neuropathologist 4033 | neuropsychiatry 4034 | news 4035 | newsletter 4036 | newspaper 4037 | newsprint 4038 | newsstand 4039 | nexus 4040 | nibble 4041 | nicety 4042 | niche 4043 | nick 4044 | nickel 4045 | nickname 4046 | niece 4047 | night 4048 | nightclub 4049 | nightgown 4050 | nightingale 4051 | nightlife 4052 | nightlight 4053 | nightmare 4054 | ninja 4055 | nit 4056 | nitrogen 4057 | nobody 4058 | nod 4059 | node 4060 | noir 4061 | noise 4062 | nonbeliever 4063 | nonconformist 4064 | nondisclosure 4065 | nonsense 4066 | noodle 4067 | noodles 4068 | noon 4069 | norm 4070 | normal 4071 | normalisation 4072 | normalization 4073 | north 4074 | nose 4075 | notation 4076 | note 4077 | notebook 4078 | notepad 4079 | nothing 4080 | notice 4081 | notion 4082 | notoriety 4083 | nougat 4084 | noun 4085 | nourishment 4086 | novel 4087 | nucleotidase 4088 | nucleotide 4089 | nudge 4090 | nuke 4091 | number 4092 | numeracy 4093 | numeric 4094 | numismatist 4095 | nun 4096 | nurse 4097 | nursery 4098 | nursing 4099 | nurture 4100 | nut 4101 | nutmeg 4102 | nutrient 4103 | nutrition 4104 | nylon 4105 | nymph 4106 | oak 4107 | oar 4108 | oasis 4109 | oat 4110 | oatmeal 4111 | oats 4112 | obedience 4113 | obesity 4114 | obi 4115 | object 4116 | objection 4117 | objective 4118 | obligation 4119 | oboe 4120 | observation 4121 | observatory 4122 | obsession 4123 | obsidian 4124 | obstacle 4125 | occasion 4126 | occupation 4127 | occurrence 4128 | ocean 4129 | ocelot 4130 | octagon 4131 | octave 4132 | octavo 4133 | octet 4134 | octopus 4135 | odometer 4136 | odyssey 4137 | oeuvre 4138 | off-ramp 4139 | offence 4140 | offense 4141 | offer 4142 | offering 4143 | office 4144 | officer 4145 | official 4146 | offset 4147 | oil 4148 | okra 4149 | oldie 4150 | oleo 4151 | olive 4152 | omega 4153 | omelet 4154 | omission 4155 | omnivore 4156 | oncology 4157 | onion 4158 | online 4159 | onset 4160 | opening 4161 | opera 4162 | operating 4163 | operation 4164 | operator 4165 | ophthalmologist 4166 | opinion 4167 | opium 4168 | opossum 4169 | opponent 4170 | opportunist 4171 | opportunity 4172 | opposite 4173 | opposition 4174 | optimal 4175 | optimisation 4176 | optimist 4177 | optimization 4178 | option 4179 | orange 4180 | orangutan 4181 | orator 4182 | orchard 4183 | orchestra 4184 | orchid 4185 | order 4186 | ordinary 4187 | ordination 4188 | ore 4189 | oregano 4190 | organ 4191 | organisation 4192 | organising 4193 | organization 4194 | organizing 4195 | orient 4196 | orientation 4197 | origin 4198 | original 4199 | originality 4200 | ornament 4201 | osmosis 4202 | osprey 4203 | ostrich 4204 | other 4205 | otter 4206 | ottoman 4207 | ounce 4208 | outback 4209 | outcome 4210 | outfielder 4211 | outfit 4212 | outhouse 4213 | outlaw 4214 | outlay 4215 | outlet 4216 | outline 4217 | outlook 4218 | output 4219 | outrage 4220 | outrigger 4221 | outrun 4222 | outset 4223 | outside 4224 | oval 4225 | ovary 4226 | oven 4227 | overcharge 4228 | overclocking 4229 | overcoat 4230 | overexertion 4231 | overflight 4232 | overhead 4233 | overheard 4234 | overload 4235 | overnighter 4236 | overshoot 4237 | oversight 4238 | overview 4239 | overweight 4240 | owl 4241 | owner 4242 | ownership 4243 | ox 4244 | oxford 4245 | oxygen 4246 | oyster 4247 | ozone 4248 | pace 4249 | pacemaker 4250 | pack 4251 | package 4252 | packaging 4253 | packet 4254 | pad 4255 | paddle 4256 | paddock 4257 | pagan 4258 | page 4259 | pagoda 4260 | pail 4261 | pain 4262 | paint 4263 | painter 4264 | painting 4265 | paintwork 4266 | pair 4267 | pajamas 4268 | palace 4269 | palate 4270 | palm 4271 | pamphlet 4272 | pan 4273 | pancake 4274 | pancreas 4275 | panda 4276 | panel 4277 | panic 4278 | pannier 4279 | panpipe 4280 | pansy 4281 | panther 4282 | panties 4283 | pantologist 4284 | pantology 4285 | pantry 4286 | pants 4287 | pantsuit 4288 | panty 4289 | pantyhose 4290 | papa 4291 | papaya 4292 | paper 4293 | paperback 4294 | paperwork 4295 | parable 4296 | parachute 4297 | parade 4298 | paradise 4299 | paragraph 4300 | parallelogram 4301 | paramecium 4302 | paramedic 4303 | parameter 4304 | paranoia 4305 | parcel 4306 | parchment 4307 | pard 4308 | pardon 4309 | parent 4310 | parenthesis 4311 | parenting 4312 | park 4313 | parka 4314 | parking 4315 | parliament 4316 | parole 4317 | parrot 4318 | parser 4319 | parsley 4320 | parsnip 4321 | part 4322 | participant 4323 | participation 4324 | particle 4325 | particular 4326 | partner 4327 | partnership 4328 | partridge 4329 | party 4330 | pass 4331 | passage 4332 | passbook 4333 | passenger 4334 | passing 4335 | passion 4336 | passive 4337 | passport 4338 | password 4339 | past 4340 | pasta 4341 | paste 4342 | pastor 4343 | pastoralist 4344 | pastry 4345 | pasture 4346 | pat 4347 | patch 4348 | pate 4349 | patent 4350 | patentee 4351 | path 4352 | pathogenesis 4353 | pathology 4354 | pathway 4355 | patience 4356 | patient 4357 | patina 4358 | patio 4359 | patriarch 4360 | patrimony 4361 | patriot 4362 | patrol 4363 | patroller 4364 | patrolling 4365 | patron 4366 | pattern 4367 | patty 4368 | pattypan 4369 | pause 4370 | pavement 4371 | pavilion 4372 | paw 4373 | pawnshop 4374 | pay 4375 | payee 4376 | payment 4377 | payoff 4378 | pea 4379 | peace 4380 | peach 4381 | peacoat 4382 | peacock 4383 | peak 4384 | peanut 4385 | pear 4386 | pearl 4387 | peasant 4388 | pecan 4389 | pecker 4390 | pedal 4391 | peek 4392 | peen 4393 | peer 4394 | peer-to-peer 4395 | pegboard 4396 | pelican 4397 | pelt 4398 | pen 4399 | penalty 4400 | pence 4401 | pencil 4402 | pendant 4403 | pendulum 4404 | penguin 4405 | penicillin 4406 | peninsula 4407 | penis 4408 | pennant 4409 | penny 4410 | pension 4411 | pentagon 4412 | peony 4413 | people 4414 | pepper 4415 | pepperoni 4416 | percent 4417 | percentage 4418 | perception 4419 | perch 4420 | perennial 4421 | perfection 4422 | performance 4423 | perfume 4424 | period 4425 | periodical 4426 | peripheral 4427 | permafrost 4428 | permission 4429 | permit 4430 | perp 4431 | perpendicular 4432 | persimmon 4433 | person 4434 | personal 4435 | personality 4436 | personnel 4437 | perspective 4438 | pest 4439 | pet 4440 | petal 4441 | petition 4442 | petitioner 4443 | petticoat 4444 | pew 4445 | pharmacist 4446 | pharmacopoeia 4447 | phase 4448 | pheasant 4449 | phenomenon 4450 | phenotype 4451 | pheromone 4452 | philanthropy 4453 | philosopher 4454 | philosophy 4455 | phone 4456 | phosphate 4457 | photo 4458 | photodiode 4459 | photograph 4460 | photographer 4461 | photography 4462 | photoreceptor 4463 | phrase 4464 | phrasing 4465 | physical 4466 | physics 4467 | physiology 4468 | pianist 4469 | piano 4470 | piccolo 4471 | pick 4472 | pickax 4473 | pickaxe 4474 | picket 4475 | pickle 4476 | pickup 4477 | picnic 4478 | picture 4479 | picturesque 4480 | pie 4481 | piece 4482 | pier 4483 | piety 4484 | pig 4485 | pigeon 4486 | 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| playroom 4557 | playwright 4558 | plea 4559 | pleasure 4560 | pleat 4561 | pledge 4562 | plenty 4563 | plier 4564 | pliers 4565 | plight 4566 | plot 4567 | plough 4568 | plover 4569 | plow 4570 | plowman 4571 | plug 4572 | plugin 4573 | plum 4574 | plumber 4575 | plume 4576 | plunger 4577 | plywood 4578 | pneumonia 4579 | pocket 4580 | pocket-watch 4581 | pocketbook 4582 | pod 4583 | podcast 4584 | poem 4585 | poet 4586 | poetry 4587 | poignance 4588 | point 4589 | poison 4590 | poisoning 4591 | poker 4592 | polarisation 4593 | polarization 4594 | pole 4595 | polenta 4596 | police 4597 | policeman 4598 | policy 4599 | polish 4600 | politician 4601 | politics 4602 | poll 4603 | polliwog 4604 | pollutant 4605 | pollution 4606 | polo 4607 | polyester 4608 | polyp 4609 | pomegranate 4610 | pomelo 4611 | pompom 4612 | poncho 4613 | pond 4614 | pony 4615 | pool 4616 | poor 4617 | pop 4618 | popcorn 4619 | poppy 4620 | popsicle 4621 | popularity 4622 | population 4623 | populist 4624 | porcelain 4625 | porch 4626 | porcupine 4627 | pork 4628 | porpoise 4629 | port 4630 | porter 4631 | portfolio 4632 | porthole 4633 | portion 4634 | portrait 4635 | position 4636 | possession 4637 | possibility 4638 | possible 4639 | post 4640 | postage 4641 | postbox 4642 | poster 4643 | posterior 4644 | postfix 4645 | pot 4646 | potato 4647 | potential 4648 | pottery 4649 | potty 4650 | pouch 4651 | poultry 4652 | pound 4653 | pounding 4654 | poverty 4655 | powder 4656 | power 4657 | practice 4658 | practitioner 4659 | prairie 4660 | praise 4661 | pray 4662 | prayer 4663 | precedence 4664 | precedent 4665 | precipitation 4666 | precision 4667 | predecessor 4668 | preface 4669 | preference 4670 | prefix 4671 | pregnancy 4672 | prejudice 4673 | prelude 4674 | premeditation 4675 | premier 4676 | premise 4677 | premium 4678 | preoccupation 4679 | preparation 4680 | prescription 4681 | presence 4682 | present 4683 | presentation 4684 | preservation 4685 | preserves 4686 | presidency 4687 | president 4688 | press 4689 | pressroom 4690 | pressure 4691 | pressurisation 4692 | pressurization 4693 | prestige 4694 | presume 4695 | pretzel 4696 | prevalence 4697 | prevention 4698 | prey 4699 | price 4700 | pricing 4701 | pride 4702 | priest 4703 | priesthood 4704 | primary 4705 | primate 4706 | prince 4707 | princess 4708 | principal 4709 | principle 4710 | print 4711 | printer 4712 | printing 4713 | prior 4714 | priority 4715 | prison 4716 | prisoner 4717 | privacy 4718 | private 4719 | privilege 4720 | prize 4721 | prizefight 4722 | probability 4723 | probation 4724 | probe 4725 | problem 4726 | procedure 4727 | proceedings 4728 | process 4729 | processing 4730 | processor 4731 | proctor 4732 | procurement 4733 | produce 4734 | producer 4735 | product 4736 | production 4737 | productivity 4738 | profession 4739 | professional 4740 | professor 4741 | profile 4742 | profit 4743 | progenitor 4744 | program 4745 | programme 4746 | programming 4747 | progress 4748 | progression 4749 | prohibition 4750 | project 4751 | proliferation 4752 | promenade 4753 | promise 4754 | promotion 4755 | prompt 4756 | pronoun 4757 | pronunciation 4758 | proof 4759 | proof-reader 4760 | propaganda 4761 | propane 4762 | property 4763 | prophet 4764 | proponent 4765 | proportion 4766 | proposal 4767 | proposition 4768 | proprietor 4769 | prose 4770 | prosecution 4771 | prosecutor 4772 | prospect 4773 | prosperity 4774 | prostacyclin 4775 | prostanoid 4776 | prostrate 4777 | protection 4778 | protein 4779 | protest 4780 | protocol 4781 | providence 4782 | provider 4783 | province 4784 | provision 4785 | prow 4786 | proximal 4787 | proximity 4788 | prune 4789 | pruner 4790 | pseudocode 4791 | pseudoscience 4792 | psychiatrist 4793 | psychoanalyst 4794 | psychologist 4795 | psychology 4796 | ptarmigan 4797 | pub 4798 | public 4799 | publication 4800 | publicity 4801 | publisher 4802 | publishing 4803 | pudding 4804 | puddle 4805 | puffin 4806 | pug 4807 | puggle 4808 | pulley 4809 | pulse 4810 | puma 4811 | pump 4812 | pumpernickel 4813 | pumpkin 4814 | pumpkinseed 4815 | pun 4816 | punch 4817 | punctuation 4818 | punishment 4819 | pup 4820 | pupa 4821 | pupil 4822 | puppet 4823 | puppy 4824 | purchase 4825 | puritan 4826 | purity 4827 | purple 4828 | purpose 4829 | purr 4830 | purse 4831 | pursuit 4832 | push 4833 | pusher 4834 | put 4835 | puzzle 4836 | pyramid 4837 | pyridine 4838 | quadrant 4839 | quail 4840 | qualification 4841 | quality 4842 | quantity 4843 | quart 4844 | quarter 4845 | quartet 4846 | quartz 4847 | queen 4848 | query 4849 | quest 4850 | question 4851 | questioner 4852 | questionnaire 4853 | quiche 4854 | quicksand 4855 | quiet 4856 | quill 4857 | quilt 4858 | quince 4859 | quinoa 4860 | quit 4861 | quiver 4862 | quota 4863 | quotation 4864 | quote 4865 | rabbi 4866 | rabbit 4867 | raccoon 4868 | race 4869 | racer 4870 | racing 4871 | racism 4872 | racist 4873 | rack 4874 | radar 4875 | radiator 4876 | radio 4877 | radiosonde 4878 | radish 4879 | raffle 4880 | raft 4881 | rag 4882 | rage 4883 | raid 4884 | rail 4885 | railing 4886 | railroad 4887 | railway 4888 | raiment 4889 | rain 4890 | rainbow 4891 | raincoat 4892 | rainmaker 4893 | rainstorm 4894 | rainy 4895 | raise 4896 | raisin 4897 | rake 4898 | rally 4899 | ram 4900 | rambler 4901 | ramen 4902 | ramie 4903 | ranch 4904 | rancher 4905 | randomisation 4906 | randomization 4907 | range 4908 | ranger 4909 | rank 4910 | rap 4911 | rape 4912 | raspberry 4913 | rat 4914 | rate 4915 | ratepayer 4916 | rating 4917 | ratio 4918 | rationale 4919 | rations 4920 | raven 4921 | ravioli 4922 | rawhide 4923 | ray 4924 | rayon 4925 | razor 4926 | reach 4927 | reactant 4928 | reaction 4929 | read 4930 | reader 4931 | readiness 4932 | reading 4933 | real 4934 | reality 4935 | realization 4936 | realm 4937 | reamer 4938 | rear 4939 | reason 4940 | reasoning 4941 | rebel 4942 | rebellion 4943 | reboot 4944 | recall 4945 | recapitulation 4946 | receipt 4947 | receiver 4948 | reception 4949 | receptor 4950 | recess 4951 | recession 4952 | recipe 4953 | recipient 4954 | reciprocity 4955 | reclamation 4956 | recliner 4957 | recognition 4958 | recollection 4959 | recommendation 4960 | reconsideration 4961 | record 4962 | recorder 4963 | recording 4964 | recovery 4965 | recreation 4966 | recruit 4967 | rectangle 4968 | red 4969 | redesign 4970 | redhead 4971 | redirect 4972 | rediscovery 4973 | reduction 4974 | reef 4975 | refectory 4976 | reference 4977 | referendum 4978 | reflection 4979 | reform 4980 | refreshments 4981 | refrigerator 4982 | refuge 4983 | refund 4984 | refusal 4985 | refuse 4986 | regard 4987 | regime 4988 | region 4989 | regionalism 4990 | register 4991 | registration 4992 | registry 4993 | regret 4994 | regulation 4995 | regulator 4996 | rehospitalisation 4997 | rehospitalization 4998 | reindeer 4999 | reinscription 5000 | reject 5001 | relation 5002 | relationship 5003 | relative 5004 | relaxation 5005 | relay 5006 | release 5007 | reliability 5008 | relief 5009 | religion 5010 | relish 5011 | reluctance 5012 | remains 5013 | remark 5014 | reminder 5015 | remnant 5016 | remote 5017 | removal 5018 | renaissance 5019 | rent 5020 | reorganisation 5021 | reorganization 5022 | repair 5023 | reparation 5024 | repayment 5025 | repeat 5026 | replacement 5027 | replica 5028 | replication 5029 | reply 5030 | report 5031 | reporter 5032 | reporting 5033 | repository 5034 | representation 5035 | representative 5036 | reprocessing 5037 | republic 5038 | republican 5039 | reputation 5040 | request 5041 | requirement 5042 | resale 5043 | rescue 5044 | research 5045 | researcher 5046 | resemblance 5047 | reservation 5048 | reserve 5049 | reservoir 5050 | reset 5051 | residence 5052 | resident 5053 | residue 5054 | resist 5055 | resistance 5056 | resolution 5057 | resolve 5058 | resort 5059 | resource 5060 | respect 5061 | respite 5062 | response 5063 | responsibility 5064 | rest 5065 | restaurant 5066 | restoration 5067 | restriction 5068 | restroom 5069 | restructuring 5070 | result 5071 | resume 5072 | retailer 5073 | retention 5074 | rethinking 5075 | retina 5076 | retirement 5077 | retouching 5078 | retreat 5079 | retrospect 5080 | retrospective 5081 | retrospectivity 5082 | return 5083 | reunion 5084 | revascularisation 5085 | revascularization 5086 | reveal 5087 | revelation 5088 | revenant 5089 | revenge 5090 | revenue 5091 | reversal 5092 | reverse 5093 | review 5094 | revitalisation 5095 | revitalization 5096 | revival 5097 | revolution 5098 | revolver 5099 | reward 5100 | rhetoric 5101 | rheumatism 5102 | rhinoceros 5103 | rhubarb 5104 | rhyme 5105 | rhythm 5106 | rib 5107 | ribbon 5108 | rice 5109 | riddle 5110 | ride 5111 | rider 5112 | ridge 5113 | riding 5114 | rifle 5115 | right 5116 | rim 5117 | ring 5118 | ringworm 5119 | riot 5120 | rip 5121 | ripple 5122 | rise 5123 | riser 5124 | risk 5125 | rite 5126 | ritual 5127 | river 5128 | riverbed 5129 | rivulet 5130 | road 5131 | roadway 5132 | roar 5133 | roast 5134 | robe 5135 | robin 5136 | robot 5137 | robotics 5138 | rock 5139 | rocker 5140 | rocket 5141 | rocket-ship 5142 | rod 5143 | role 5144 | roll 5145 | roller 5146 | romaine 5147 | romance 5148 | roof 5149 | room 5150 | roommate 5151 | rooster 5152 | root 5153 | rope 5154 | rose 5155 | rosemary 5156 | roster 5157 | rostrum 5158 | rotation 5159 | round 5160 | roundabout 5161 | route 5162 | router 5163 | routine 5164 | row 5165 | rowboat 5166 | rowing 5167 | rubber 5168 | rubbish 5169 | rubric 5170 | ruby 5171 | ruckus 5172 | rudiment 5173 | ruffle 5174 | rug 5175 | rugby 5176 | ruin 5177 | rule 5178 | ruler 5179 | ruling 5180 | rum 5181 | rumor 5182 | run 5183 | runaway 5184 | runner 5185 | running 5186 | runway 5187 | rush 5188 | rust 5189 | rutabaga 5190 | rye 5191 | sabre 5192 | sac 5193 | sack 5194 | saddle 5195 | sadness 5196 | safari 5197 | safe 5198 | safeguard 5199 | safety 5200 | saffron 5201 | sage 5202 | sail 5203 | sailboat 5204 | sailing 5205 | sailor 5206 | saint 5207 | sake 5208 | salad 5209 | salami 5210 | salary 5211 | sale 5212 | salesman 5213 | salmon 5214 | salon 5215 | saloon 5216 | salsa 5217 | salt 5218 | salute 5219 | samovar 5220 | sampan 5221 | sample 5222 | samurai 5223 | sanction 5224 | sanctity 5225 | sanctuary 5226 | sand 5227 | sandal 5228 | sandbar 5229 | sandpaper 5230 | sandwich 5231 | sanity 5232 | sardine 5233 | sari 5234 | sarong 5235 | sash 5236 | satellite 5237 | satin 5238 | satire 5239 | satisfaction 5240 | sauce 5241 | saucer 5242 | sauerkraut 5243 | sausage 5244 | savage 5245 | savannah 5246 | saving 5247 | savings 5248 | savior 5249 | saviour 5250 | savory 5251 | saw 5252 | saxophone 5253 | scaffold 5254 | scale 5255 | scallion 5256 | scallops 5257 | scalp 5258 | scam 5259 | scanner 5260 | scarecrow 5261 | scarf 5262 | scarification 5263 | scenario 5264 | scene 5265 | scenery 5266 | scent 5267 | schedule 5268 | scheduling 5269 | schema 5270 | scheme 5271 | schizophrenic 5272 | schnitzel 5273 | scholar 5274 | scholarship 5275 | school 5276 | schoolhouse 5277 | schooner 5278 | science 5279 | scientist 5280 | scimitar 5281 | scissors 5282 | scooter 5283 | scope 5284 | score 5285 | scorn 5286 | scorpion 5287 | scotch 5288 | scout 5289 | scow 5290 | scrambled 5291 | scrap 5292 | scraper 5293 | scratch 5294 | screamer 5295 | screen 5296 | screening 5297 | screenwriting 5298 | screw 5299 | screw-up 5300 | screwdriver 5301 | scrim 5302 | scrip 5303 | script 5304 | scripture 5305 | scrutiny 5306 | sculpting 5307 | sculptural 5308 | sculpture 5309 | sea 5310 | seabass 5311 | seafood 5312 | seagull 5313 | seal 5314 | seaplane 5315 | search 5316 | seashore 5317 | seaside 5318 | season 5319 | seat 5320 | seaweed 5321 | second 5322 | secrecy 5323 | secret 5324 | secretariat 5325 | secretary 5326 | secretion 5327 | section 5328 | sectional 5329 | sector 5330 | security 5331 | sediment 5332 | seed 5333 | seeder 5334 | seeker 5335 | seep 5336 | segment 5337 | seizure 5338 | selection 5339 | self 5340 | self-confidence 5341 | self-control 5342 | self-esteem 5343 | seller 5344 | selling 5345 | semantics 5346 | semester 5347 | semicircle 5348 | semicolon 5349 | semiconductor 5350 | seminar 5351 | senate 5352 | senator 5353 | sender 5354 | senior 5355 | sense 5356 | sensibility 5357 | sensitive 5358 | sensitivity 5359 | sensor 5360 | sentence 5361 | sentencing 5362 | sentiment 5363 | sepal 5364 | separation 5365 | septicaemia 5366 | sequel 5367 | sequence 5368 | serial 5369 | series 5370 | sermon 5371 | serum 5372 | serval 5373 | servant 5374 | server 5375 | service 5376 | servitude 5377 | sesame 5378 | session 5379 | set 5380 | setback 5381 | setting 5382 | settlement 5383 | settler 5384 | severity 5385 | sewer 5386 | sex 5387 | sexuality 5388 | shack 5389 | shackle 5390 | shade 5391 | shadow 5392 | shadowbox 5393 | shakedown 5394 | shaker 5395 | shallot 5396 | shallows 5397 | shame 5398 | shampoo 5399 | shanty 5400 | shape 5401 | share 5402 | shareholder 5403 | shark 5404 | shaw 5405 | shawl 5406 | shear 5407 | shearling 5408 | sheath 5409 | shed 5410 | sheep 5411 | sheet 5412 | shelf 5413 | shell 5414 | shelter 5415 | sherbet 5416 | sherry 5417 | shield 5418 | shift 5419 | shin 5420 | shine 5421 | shingle 5422 | ship 5423 | shipper 5424 | shipping 5425 | shipyard 5426 | shirt 5427 | shirtdress 5428 | shit 5429 | shoat 5430 | shock 5431 | shoe 5432 | shoe-horn 5433 | shoehorn 5434 | shoelace 5435 | shoemaker 5436 | shoes 5437 | shoestring 5438 | shofar 5439 | shoot 5440 | shootdown 5441 | shop 5442 | shopper 5443 | shopping 5444 | shore 5445 | shoreline 5446 | short 5447 | shortage 5448 | shorts 5449 | shortwave 5450 | shot 5451 | shoulder 5452 | shout 5453 | shovel 5454 | show 5455 | show-stopper 5456 | shower 5457 | shred 5458 | shrimp 5459 | shrine 5460 | shutdown 5461 | sibling 5462 | sick 5463 | sickness 5464 | side 5465 | sideboard 5466 | sideburns 5467 | sidecar 5468 | sidestream 5469 | sidewalk 5470 | siding 5471 | siege 5472 | sigh 5473 | sight 5474 | sightseeing 5475 | sign 5476 | signal 5477 | signature 5478 | signet 5479 | significance 5480 | signify 5481 | signup 5482 | silence 5483 | silica 5484 | silicon 5485 | silk 5486 | silkworm 5487 | sill 5488 | silly 5489 | silo 5490 | silver 5491 | similarity 5492 | simple 5493 | simplicity 5494 | simplification 5495 | simvastatin 5496 | sin 5497 | singer 5498 | singing 5499 | singular 5500 | sink 5501 | sinuosity 5502 | sip 5503 | sir 5504 | sister 5505 | sister-in-law 5506 | sitar 5507 | site 5508 | situation 5509 | size 5510 | skate 5511 | skating 5512 | skean 5513 | skeleton 5514 | ski 5515 | skiing 5516 | skill 5517 | skin 5518 | skirt 5519 | skull 5520 | skullcap 5521 | skullduggery 5522 | skunk 5523 | sky 5524 | skylight 5525 | skyline 5526 | skyscraper 5527 | skywalk 5528 | slang 5529 | slapstick 5530 | slash 5531 | slate 5532 | slave 5533 | slavery 5534 | slaw 5535 | sled 5536 | sledge 5537 | sleep 5538 | sleepiness 5539 | sleeping 5540 | sleet 5541 | sleuth 5542 | slice 5543 | slide 5544 | slider 5545 | slime 5546 | slip 5547 | slipper 5548 | slippers 5549 | slope 5550 | slot 5551 | sloth 5552 | slump 5553 | smell 5554 | smelting 5555 | smile 5556 | smith 5557 | smock 5558 | smog 5559 | smoke 5560 | smoking 5561 | smolt 5562 | smuggling 5563 | snack 5564 | snail 5565 | snake 5566 | snakebite 5567 | snap 5568 | snarl 5569 | sneaker 5570 | sneakers 5571 | sneeze 5572 | sniffle 5573 | snob 5574 | snorer 5575 | snow 5576 | snowboarding 5577 | snowflake 5578 | snowman 5579 | snowmobiling 5580 | snowplow 5581 | snowstorm 5582 | snowsuit 5583 | snuck 5584 | snug 5585 | snuggle 5586 | soap 5587 | soccer 5588 | socialism 5589 | socialist 5590 | society 5591 | sociology 5592 | sock 5593 | socks 5594 | soda 5595 | sofa 5596 | softball 5597 | softdrink 5598 | softening 5599 | software 5600 | soil 5601 | soldier 5602 | sole 5603 | solicitation 5604 | solicitor 5605 | solidarity 5606 | solidity 5607 | soliloquy 5608 | solitaire 5609 | solution 5610 | solvency 5611 | sombrero 5612 | somebody 5613 | someone 5614 | someplace 5615 | somersault 5616 | something 5617 | somewhere 5618 | son 5619 | sonar 5620 | sonata 5621 | song 5622 | songbird 5623 | sonnet 5624 | soot 5625 | sophomore 5626 | soprano 5627 | sorbet 5628 | sorghum 5629 | sorrel 5630 | sorrow 5631 | sort 5632 | soul 5633 | soulmate 5634 | sound 5635 | soundness 5636 | soup 5637 | source 5638 | sourwood 5639 | sousaphone 5640 | south 5641 | southeast 5642 | souvenir 5643 | sovereignty 5644 | sow 5645 | soy 5646 | soybean 5647 | space 5648 | spacing 5649 | spade 5650 | spaghetti 5651 | span 5652 | spandex 5653 | spank 5654 | sparerib 5655 | spark 5656 | sparrow 5657 | spasm 5658 | spat 5659 | spatula 5660 | spawn 5661 | speaker 5662 | speakerphone 5663 | speaking 5664 | spear 5665 | spec 5666 | special 5667 | specialist 5668 | specialty 5669 | species 5670 | specification 5671 | spectacle 5672 | spectacles 5673 | spectrograph 5674 | spectrum 5675 | speculation 5676 | speech 5677 | speed 5678 | speedboat 5679 | spell 5680 | spelling 5681 | spelt 5682 | spending 5683 | sphere 5684 | sphynx 5685 | spice 5686 | spider 5687 | spiderling 5688 | spike 5689 | spill 5690 | spinach 5691 | spine 5692 | spiral 5693 | spirit 5694 | spiritual 5695 | spirituality 5696 | spit 5697 | spite 5698 | spleen 5699 | splendor 5700 | split 5701 | spokesman 5702 | spokeswoman 5703 | sponge 5704 | sponsor 5705 | sponsorship 5706 | spool 5707 | spoon 5708 | spork 5709 | sport 5710 | sportsman 5711 | spot 5712 | spotlight 5713 | spouse 5714 | sprag 5715 | sprat 5716 | spray 5717 | spread 5718 | spreadsheet 5719 | spree 5720 | spring 5721 | sprinkles 5722 | sprinter 5723 | sprout 5724 | spruce 5725 | spud 5726 | spume 5727 | spur 5728 | spy 5729 | spyglass 5730 | square 5731 | squash 5732 | squatter 5733 | squeegee 5734 | squid 5735 | squirrel 5736 | stab 5737 | stability 5738 | stable 5739 | stack 5740 | stacking 5741 | stadium 5742 | staff 5743 | stag 5744 | stage 5745 | stain 5746 | stair 5747 | staircase 5748 | stake 5749 | stalk 5750 | stall 5751 | stallion 5752 | stamen 5753 | stamina 5754 | stamp 5755 | stance 5756 | stand 5757 | standard 5758 | standardisation 5759 | standardization 5760 | standing 5761 | standoff 5762 | standpoint 5763 | star 5764 | starboard 5765 | start 5766 | starter 5767 | state 5768 | statement 5769 | statin 5770 | station 5771 | station-wagon 5772 | statistic 5773 | statistics 5774 | statue 5775 | status 5776 | statute 5777 | stay 5778 | steak 5779 | stealth 5780 | steam 5781 | steamroller 5782 | steel 5783 | steeple 5784 | stem 5785 | stench 5786 | stencil 5787 | step 5788 | step-aunt 5789 | step-brother 5790 | step-daughter 5791 | step-father 5792 | step-grandfather 5793 | step-grandmother 5794 | step-mother 5795 | step-sister 5796 | step-son 5797 | step-uncle 5798 | stepdaughter 5799 | stepmother 5800 | stepping-stone 5801 | stepson 5802 | stereo 5803 | stew 5804 | steward 5805 | stick 5806 | sticker 5807 | stiletto 5808 | still 5809 | stimulation 5810 | stimulus 5811 | sting 5812 | stinger 5813 | stir-fry 5814 | stitch 5815 | stitcher 5816 | stock 5817 | stock-in-trade 5818 | stockings 5819 | stole 5820 | stomach 5821 | stone 5822 | stonework 5823 | stool 5824 | stop 5825 | stopsign 5826 | stopwatch 5827 | storage 5828 | store 5829 | storey 5830 | storm 5831 | story 5832 | story-telling 5833 | storyboard 5834 | stot 5835 | stove 5836 | strait 5837 | strand 5838 | stranger 5839 | strap 5840 | strategy 5841 | straw 5842 | strawberry 5843 | strawman 5844 | stream 5845 | street 5846 | streetcar 5847 | strength 5848 | stress 5849 | stretch 5850 | strife 5851 | strike 5852 | string 5853 | strip 5854 | stripe 5855 | strobe 5856 | stroke 5857 | structure 5858 | strudel 5859 | struggle 5860 | stucco 5861 | stud 5862 | student 5863 | studio 5864 | study 5865 | stuff 5866 | stumbling 5867 | stump 5868 | stupidity 5869 | sturgeon 5870 | sty 5871 | style 5872 | styling 5873 | stylus 5874 | sub 5875 | subcomponent 5876 | subconscious 5877 | subcontractor 5878 | subexpression 5879 | subgroup 5880 | subject 5881 | submarine 5882 | submitter 5883 | subprime 5884 | subroutine 5885 | subscription 5886 | subsection 5887 | subset 5888 | subsidence 5889 | subsidiary 5890 | subsidy 5891 | substance 5892 | substitution 5893 | subtitle 5894 | suburb 5895 | subway 5896 | success 5897 | succotash 5898 | suck 5899 | sucker 5900 | suede 5901 | suet 5902 | suffocation 5903 | sugar 5904 | suggestion 5905 | suicide 5906 | suit 5907 | suitcase 5908 | suite 5909 | sulfur 5910 | sultan 5911 | sum 5912 | summary 5913 | summer 5914 | summit 5915 | sun 5916 | sunbeam 5917 | sunbonnet 5918 | sundae 5919 | sunday 5920 | sundial 5921 | sunflower 5922 | sunglasses 5923 | sunlamp 5924 | sunlight 5925 | sunrise 5926 | sunroom 5927 | sunset 5928 | sunshine 5929 | superiority 5930 | supermarket 5931 | supernatural 5932 | supervision 5933 | supervisor 5934 | supper 5935 | supplement 5936 | supplier 5937 | supply 5938 | support 5939 | supporter 5940 | suppression 5941 | supreme 5942 | surface 5943 | surfboard 5944 | surge 5945 | surgeon 5946 | surgery 5947 | surname 5948 | surplus 5949 | surprise 5950 | surround 5951 | surroundings 5952 | surrounds 5953 | survey 5954 | survival 5955 | survivor 5956 | sushi 5957 | suspect 5958 | suspenders 5959 | suspension 5960 | sustainment 5961 | sustenance 5962 | swallow 5963 | swamp 5964 | swan 5965 | swanling 5966 | swath 5967 | sweat 5968 | sweater 5969 | sweatshirt 5970 | sweatshop 5971 | sweatsuit 5972 | sweets 5973 | swell 5974 | swim 5975 | swimming 5976 | swimsuit 5977 | swine 5978 | swing 5979 | switch 5980 | switchboard 5981 | switching 5982 | swivel 5983 | sword 5984 | swordfight 5985 | swordfish 5986 | sycamore 5987 | symbol 5988 | symmetry 5989 | sympathy 5990 | symptom 5991 | syndicate 5992 | syndrome 5993 | synergy 5994 | synod 5995 | synonym 5996 | synthesis 5997 | syrup 5998 | system 5999 | t-shirt 6000 | tab 6001 | tabby 6002 | tabernacle 6003 | table 6004 | tablecloth 6005 | tablet 6006 | tabletop 6007 | tachometer 6008 | tackle 6009 | taco 6010 | tactics 6011 | tactile 6012 | tadpole 6013 | tag 6014 | tail 6015 | tailbud 6016 | tailor 6017 | tailspin 6018 | take-out 6019 | takeover 6020 | tale 6021 | talent 6022 | talk 6023 | talking 6024 | tam-o'-shanter 6025 | tamale 6026 | tambour 6027 | tambourine 6028 | tan 6029 | tandem 6030 | tangerine 6031 | tank 6032 | tank-top 6033 | tanker 6034 | tankful 6035 | tap 6036 | tape 6037 | tapioca 6038 | target 6039 | taro 6040 | tarragon 6041 | tart 6042 | task 6043 | tassel 6044 | taste 6045 | tatami 6046 | tattler 6047 | tattoo 6048 | tavern 6049 | tax 6050 | taxi 6051 | taxicab 6052 | taxpayer 6053 | tea 6054 | teacher 6055 | teaching 6056 | team 6057 | teammate 6058 | teapot 6059 | tear 6060 | tech 6061 | technician 6062 | technique 6063 | technologist 6064 | technology 6065 | tectonics 6066 | teen 6067 | teenager 6068 | teepee 6069 | telephone 6070 | telescreen 6071 | teletype 6072 | television 6073 | tell 6074 | teller 6075 | temp 6076 | temper 6077 | temperature 6078 | temple 6079 | tempo 6080 | temporariness 6081 | temporary 6082 | temptation 6083 | temptress 6084 | tenant 6085 | tendency 6086 | tender 6087 | tenement 6088 | tenet 6089 | tennis 6090 | tenor 6091 | tension 6092 | tensor 6093 | tent 6094 | tentacle 6095 | tenth 6096 | tepee 6097 | teriyaki 6098 | term 6099 | terminal 6100 | termination 6101 | terminology 6102 | termite 6103 | terrace 6104 | terracotta 6105 | terrapin 6106 | terrarium 6107 | territory 6108 | terror 6109 | terrorism 6110 | terrorist 6111 | test 6112 | testament 6113 | testimonial 6114 | testimony 6115 | testing 6116 | text 6117 | textbook 6118 | textual 6119 | texture 6120 | thanks 6121 | thaw 6122 | theater 6123 | theft 6124 | theism 6125 | theme 6126 | theology 6127 | theory 6128 | therapist 6129 | therapy 6130 | thermals 6131 | thermometer 6132 | thermostat 6133 | thesis 6134 | thickness 6135 | thief 6136 | thigh 6137 | thing 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tomato 6210 | tomb 6211 | tomography 6212 | tomorrow 6213 | ton 6214 | tonality 6215 | tone 6216 | tongue 6217 | tonic 6218 | tonight 6219 | tool 6220 | toot 6221 | tooth 6222 | toothbrush 6223 | toothpaste 6224 | toothpick 6225 | top 6226 | top-hat 6227 | topic 6228 | topsail 6229 | toque 6230 | toreador 6231 | tornado 6232 | torso 6233 | torte 6234 | tortellini 6235 | tortilla 6236 | tortoise 6237 | tosser 6238 | total 6239 | tote 6240 | touch 6241 | tough-guy 6242 | tour 6243 | tourism 6244 | tourist 6245 | tournament 6246 | tow-truck 6247 | towel 6248 | tower 6249 | town 6250 | townhouse 6251 | township 6252 | toy 6253 | trace 6254 | trachoma 6255 | track 6256 | tracking 6257 | tracksuit 6258 | tract 6259 | tractor 6260 | trade 6261 | trader 6262 | trading 6263 | tradition 6264 | traditionalism 6265 | traffic 6266 | trafficker 6267 | tragedy 6268 | trail 6269 | trailer 6270 | trailpatrol 6271 | train 6272 | trainer 6273 | training 6274 | trait 6275 | tram 6276 | tramp 6277 | trance 6278 | transaction 6279 | transcript 6280 | transfer 6281 | transformation 6282 | transit 6283 | transition 6284 | translation 6285 | transmission 6286 | transom 6287 | transparency 6288 | transplantation 6289 | transport 6290 | transportation 6291 | trap 6292 | trapdoor 6293 | trapezium 6294 | trapezoid 6295 | trash 6296 | travel 6297 | traveler 6298 | tray 6299 | treasure 6300 | treasury 6301 | treat 6302 | treatment 6303 | treaty 6304 | tree 6305 | trek 6306 | trellis 6307 | tremor 6308 | trench 6309 | trend 6310 | triad 6311 | trial 6312 | triangle 6313 | tribe 6314 | tributary 6315 | trick 6316 | trigger 6317 | trigonometry 6318 | trillion 6319 | trim 6320 | trinket 6321 | trip 6322 | tripod 6323 | tritone 6324 | triumph 6325 | trolley 6326 | trombone 6327 | troop 6328 | trooper 6329 | trophy 6330 | trouble 6331 | trousers 6332 | trout 6333 | trove 6334 | trowel 6335 | truck 6336 | trumpet 6337 | trunk 6338 | trust 6339 | trustee 6340 | truth 6341 | try 6342 | tsunami 6343 | tub 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| uniformity 6410 | union 6411 | unique 6412 | unit 6413 | unity 6414 | universe 6415 | university 6416 | update 6417 | upgrade 6418 | uplift 6419 | upper 6420 | upstairs 6421 | upward 6422 | urge 6423 | urgency 6424 | urn 6425 | usage 6426 | use 6427 | user 6428 | usher 6429 | usual 6430 | utensil 6431 | utilisation 6432 | utility 6433 | utilization 6434 | vacation 6435 | vaccine 6436 | vacuum 6437 | vagrant 6438 | valance 6439 | valentine 6440 | validate 6441 | validity 6442 | valley 6443 | valuable 6444 | value 6445 | vampire 6446 | van 6447 | vanadyl 6448 | vane 6449 | vanilla 6450 | vanity 6451 | variability 6452 | variable 6453 | variant 6454 | variation 6455 | variety 6456 | vascular 6457 | vase 6458 | vault 6459 | vaulting 6460 | veal 6461 | vector 6462 | vegetable 6463 | vegetarian 6464 | vegetarianism 6465 | vegetation 6466 | vehicle 6467 | veil 6468 | vein 6469 | veldt 6470 | vellum 6471 | velocity 6472 | velodrome 6473 | velvet 6474 | vendor 6475 | veneer 6476 | vengeance 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