├── QR-code.JPG ├── argparseTest.py ├── basics ├── 31个字符串常用函数.ipynb ├── 90条写Python程序的建议.md ├── Python函数计时.ipynb ├── __init__.py ├── codeOptimization01.py ├── codeOptimization02.py ├── commonCodes01.py ├── commonCodes02.py ├── commonFunctions.py ├── except_handle.py ├── kafka_cousumer_test.py ├── kafka_producer_test.py ├── localsAndGlobals.py ├── lock_test │ ├── __init__.py │ └── lock_test_demo01.py ├── numba_speedup.py ├── once.py ├── pprint_study.py ├── progressBar.py ├── project_demo │ ├── pygame繁花曲线 │ │ └── pygame_test.py │ └── 跳一跳 │ │ ├── end.jpg │ │ ├── jump.py │ │ ├── platform-tools-latest-windows.zip │ │ ├── temple.png │ │ └── 使用教程.txt ├── python时间转换总结.ipynb ├── python环境依赖.md ├── test.txt ├── with.py └── 格式化输出.ipynb ├── crawler ├── __init__.py ├── demo.html ├── house_data.py ├── music163.py ├── pyquery_study.py └── simple_crawler.py ├── dataAnalysis ├── .ipynb_checkpoints │ ├── app_analyse-checkpoint.ipynb │ ├── boss_analysis + pyecharts-checkpoint.ipynb │ └── plotly_treemap-checkpoint.ipynb ├── EDA_report.py ├── PCA.py ├── PCA02.py ├── __init__.py ├── app_analyse.ipynb ├── boss_analysis + pyecharts.ipynb ├── data │ ├── app_analyse │ │ ├── ios.csv │ │ └── pingxixi.csv │ └── plotly_treemap │ │ └── plotly_treemap.xlsx ├── dimensionReduction.py ├── getData.py ├── output │ └── plotly_treemap │ │ ├── plotly_treemap_output.png │ │ └── plotly_treemap_output2.png ├── plotly_treemap.ipynb ├── probability_distribution.py ├── 动态气泡图 │ ├── .gitignore │ ├── README.md │ ├── babel.config.js │ ├── package-lock.json │ ├── package.json │ ├── public │ │ ├── countries.csv │ │ ├── data.csv │ │ ├── favicon.ico │ │ └── index.html │ ├── src │ │ ├── App.vue │ │ ├── assets │ │ │ └── logo.png │ │ ├── components │ │ │ └── HelloWorld.vue │ │ ├── main.js │ │ └── test.js │ └── 使用教程.txt ├── 常用的70个数据分析网址.md ├── 操作excel生成数据报表 │ ├── Mac_excel.py │ ├── fruit_and_veg_sales.csv │ ├── pie_logo.png │ └── 水果蔬菜销售报表.xlsx ├── 数据分析中好用实用的方法论.md ├── 数据分析几大常见效应和定律.md ├── 数据分析流行的29个Python库.md ├── 数据分析项目 │ ├── 5G手机数据分析 │ │ ├── bar_download.py │ │ ├── bar_upload.py │ │ ├── geo_citys.py │ │ ├── pic_bar_microchip.py │ │ ├── pic_bar_price.py │ │ ├── 三大运营商的速度对比(上传).html │ │ ├── 三大运营商的速度对比(下载).html │ │ ├── 使用教程.txt │ │ ├── 各品牌5G手机价位比较.html │ │ ├── 各品牌5G手机芯片比较.html │ │ └── 目前提供5G商用网络的城市.html │ ├── NBA投篮数据分析 │ │ └── 使用教程.txt │ ├── 公众号数据分析 │ │ ├── README.md │ │ ├── article.csv │ │ ├── article_analysis.py │ │ ├── article_get.py │ │ ├── html_to_pdf.py │ │ └── 使用教程.txt │ ├── 地铁数据分析 │ │ ├── README.md │ │ ├── rocket.jpg │ │ ├── subway.csv │ │ ├── subway_analysis.py │ │ ├── subway_get.py │ │ └── 使用教程.txt │ ├── 大江大河-数据分析 │ │ ├── README.md │ │ ├── comments_douban_al.csv │ │ ├── comments_douban_ll.csv │ │ ├── river_a_date.py │ │ ├── river_a_registered_time.py │ │ ├── river_a_score.py │ │ ├── river_a_sentiment.py │ │ ├── river_a_time.py │ │ ├── river_a_wc.py │ │ ├── river_comment_get.py │ │ ├── river_l_date.py │ │ ├── river_l_registered_time.py │ │ ├── river_l_score.py │ │ ├── river_l_sentiment.py │ │ ├── river_l_time.py │ │ ├── river_l_wc.py │ │ ├── river_sentiment_get.py │ │ └── 使用教程.txt │ ├── 奥斯卡数据分析 │ │ ├── Actor_LR_nomination.py │ │ ├── Actor_LR_win.py │ │ ├── Actor_SR_nomination.py │ │ ├── Actor_SR_win.py │ │ ├── Actor_nomination.py │ │ ├── Actor_win.py │ │ ├── Actress_LR_nomination.py │ │ ├── Actress_LR_win.py │ │ ├── Actress_SR_nomination.py │ │ ├── Actress_SR_win.py │ │ ├── Actress_nomination.py │ │ ├── Actress_win.py │ │ ├── Best_Actor_LR.csv │ │ ├── Best_Actor_SR.csv │ │ ├── Best_Actress_LR.csv │ │ ├── Best_Actress_SR.csv │ │ ├── Oscar.py │ │ ├── README.md │ │ └── 使用教程.txt │ ├── 字符视频 │ │ ├── bear_character.mp4 │ │ ├── c_to_v.py │ │ ├── p_to_c.py │ │ ├── v_to_p.py │ │ └── 使用教程.txt │ ├── 指数数据分析 │ │ ├── area.csv │ │ ├── baidu.py │ │ ├── bar.py │ │ ├── parsing_data_function.js │ │ ├── weibo.csv │ │ ├── weibo.py │ │ ├── word.csv │ │ └── 使用教程.txt │ ├── 数据分析岗位 │ │ ├── BOSS_JOB_mysql_database.py │ │ ├── BOSS_JOB_mysql_table.py │ │ ├── README.md │ │ ├── job.jpg │ │ ├── job_city_boss_heatmap.py │ │ ├── job_city_boss_map.py │ │ ├── job_city_lagou_heatmap.py │ │ ├── job_city_lagou_map.py │ │ ├── job_company_type_bossTOP10.py │ │ ├── job_company_type_lagouTOP10.py │ │ ├── job_salary_company_people_boss.py │ │ ├── job_salary_company_people_lagou.py │ │ ├── job_salary_company_status_boss.py │ │ ├── job_salary_company_status_lagou.py │ │ ├── job_salary_education_boss.py │ │ ├── job_salary_education_lagou.py │ │ ├── job_salary_experience_boss.py │ │ ├── job_salary_experience_lagou.py │ │ ├── job_skills_lagou.py │ │ ├── job_welfare_word_cloud.py │ │ ├── lagou_JOB_mysql_database.py │ │ ├── lagou_JOB_mysql_table.py │ │ ├── lagou_job.py │ │ └── 使用教程.txt │ ├── 权游数据分析 │ │ ├── characters.json │ │ ├── episodes.json │ │ ├── script-bag-of-words.json │ │ └── 使用教程.txt │ ├── 疫情可视化大屏 │ │ ├── .gitattributes │ │ ├── README.md │ │ ├── __pycache__ │ │ │ ├── app.cpython-37.pyc │ │ │ ├── utils.cpython-36.pyc │ │ │ └── utils.cpython-37.pyc │ │ ├── app.py │ │ ├── spider.py │ │ ├── static │ │ │ ├── css │ │ │ │ └── main.css │ │ │ └── js │ │ │ │ ├── china.js │ │ │ │ ├── controller.js │ │ │ │ ├── ec_center.js │ │ │ │ ├── ec_left1.js │ │ │ │ ├── ec_left2.js │ │ │ │ ├── ec_right1.js │ │ │ │ ├── ec_right2.js │ │ │ │ ├── echarts-wordcloud.min.js │ │ │ │ ├── echarts.min.js │ │ │ │ └── jquery-1.11.1.min.js │ │ ├── templates │ │ │ ├── index.html │ │ │ ├── main.html │ │ │ └── test.html │ │ ├── utils.py │ │ ├── uwsgi.ini │ │ ├── 使用教程.txt │ │ └── 数据库.txt │ ├── 破冰行动数据分析 │ │ ├── iqiyi.csv │ │ ├── map.csv │ │ ├── people.csv │ │ └── 使用教程.txt │ ├── 网易云评论 │ │ ├── README.md │ │ ├── chineseStopWords.txt │ │ ├── comment_date.py │ │ ├── comment_get.py │ │ ├── comment_time.py │ │ ├── comment_user.py │ │ ├── comment_wordcloud.py │ │ ├── music.jpg │ │ ├── user_age.py │ │ ├── user_city.py │ │ ├── user_gender.py │ │ └── 使用教程.txt │ ├── 自主品牌汽车 │ │ ├── Car_BAIC_Motor.py │ │ ├── Car_CHANGAN.py │ │ ├── Car_Chery.py │ │ ├── Car_DFAC.py │ │ ├── Car_FAW_Bt.py │ │ ├── Car_FAW_Hongqi.py │ │ ├── Car_GEELY_AUTO.py │ │ ├── Car_Gac_Motor.py │ │ ├── Car_Great_Wall_Great_Wall.py │ │ ├── Car_Great_Wall_Haval.py │ │ ├── Car_Great_Wall_Wey.py │ │ ├── Car_JAC.py │ │ ├── Car_SAIC_Motor_maxus.py │ │ ├── Car_SAIC_Motor_mg.py │ │ ├── Car_SAIC_Motor_roewe.py │ │ ├── Car_SAIC_Motor_sgmw.py │ │ └── 使用教程.txt │ └── 马保国 │ │ ├── Master_Ma.mp4 │ │ ├── danmu.txt │ │ ├── danmu_get.py │ │ ├── humanseg.yaml │ │ ├── video_get.py │ │ ├── wordcloud_get.py │ │ ├── 使用教程.txt │ │ └── 方正兰亭刊黑.TTF ├── 数据挖掘岗位 │ ├── README.md │ ├── mining_company_type_TOP10.py │ ├── mining_conn.py │ ├── mining_edu.py │ ├── mining_edu_exp.py │ ├── mining_edu_f_oneway.py │ ├── mining_exp.py │ ├── mining_exp_f_oneway.py │ ├── mining_lagou.py │ ├── mining_skills.py │ └── 使用教程.txt ├── 数据挖掘过程.md └── 数据清洗、数据挖掘常见十大问题.md ├── db ├── __init__.py ├── es_db_test.py ├── hdfs_write_data.py └── read_df_from_hive.py ├── dockerImagesPython ├── Dockerfile ├── __init__.py ├── argparseTest.py └── main.py ├── encryptionCode ├── __init__.py ├── build │ └── temp.macosx-10.15-x86_64-3.8 │ │ └── hello.o ├── hello.c ├── hello.cpython-38-darwin.so ├── hello.py ├── mycode.py └── setup.py ├── fastApi_study ├── __init__.py ├── file_server.py └── my_fastApi.py ├── flaskStudy ├── FlaskSql.py ├── Flask快速入门精品课程笔记 │ ├── assets │ │ ├── 302.png │ │ ├── 404.png │ │ ├── 4212ADC5-89BB-400F-AB89-44951A2B802A.png │ │ ├── Django与Flask操作数据库对比.png │ │ ├── Flask中Session存放位置.png │ │ ├── HTTP通讯过程.png │ │ ├── QQ20171031-150105@2x.png │ │ ├── QQ20171103-210912.png │ │ ├── QQ20171103-211003.png │ │ ├── QQ20171105-201216.png │ │ ├── QQ20171105-201446.png │ │ ├── SQL.png │ │ ├── SQLAlchemy警告.png │ │ ├── Web框架的作用.png │ │ ├── add_book_form.png │ │ ├── app_route.png │ │ ├── architecture.png │ │ ├── author_table_struc.png │ │ ├── books_table_struc.png │ │ ├── car.png │ │ ├── cookie.png │ │ ├── create_table.png │ │ ├── db_init.png │ │ ├── dynamic_route.png │ │ ├── fibo.png │ │ ├── filter_by_all.png │ │ ├── free_get1.png │ │ ├── free_get2.png │ │ ├── http_request.png │ │ ├── identify_code.png │ │ ├── import.png │ │ ├── install_success1.png │ │ ├── install_success2.png │ │ ├── instance.png │ │ ├── like_query.png │ │ ├── logic_and.png │ │ ├── logic_not.png │ │ ├── logic_or.png │ │ ├── migration.png │ │ ├── mongoDB.png │ │ ├── not.png │ │ ├── project_structure.png │ │ ├── query_all.png │ │ ├── redis.png │ │ ├── role_query_all.png │ │ ├── route.png │ │ ├── server_create.png │ │ ├── terminator.png │ │ ├── update_data.png │ │ ├── user_in_role.png │ │ ├── web_process.png │ │ ├── wsgi.png │ │ ├── 安全组.png │ │ ├── 导入模板框架.png │ │ ├── 异步1.png │ │ ├── 断言.png │ │ ├── 添加安全组规则.png │ │ ├── 简装图.jpg │ │ ├── 获取cookie.png │ │ ├── 装潢效果图.jpg │ │ ├── 配置工作目录.png │ │ └── 配置规则.png │ ├── chapter1.html │ ├── chapter1 │ │ ├── README.md │ │ ├── flask-an-zhuang-huan-jing.html │ │ ├── flask-script.md │ │ ├── flaskjian-jie.html │ │ ├── flaskyu-django-dui-bi.html │ │ ├── hello-worldcheng-xu.html │ │ ├── huo-qu-qing-qiu-can-shu.md │ │ ├── lu-you-de-ge-zhong-ding-yi-fang-shi.html │ │ ├── qing-qiu-gou-5b5026-zhuang-shi-qi-lu-you-de-shi-xian.md │ │ ├── requirements-wen-jian.html │ │ ├── shang-xia-wen.md │ │ ├── yi-chang-bu-huo.md │ │ └── zhuang-tai-bao-chi.md │ ├── chapter2.html │ ├── chapter2 │ │ ├── bao-han.md │ │ ├── bian-liang-dai-ma-kuai.md │ │ ├── guo-lv-qi.html │ │ ├── hong.html │ │ ├── jinja2mo-ban-yin-qing.html │ │ ├── kong-zhi-dai-ma-kuai.md │ │ ├── mo-ban-ji-cheng-yu-bao-han.md │ │ └── zi-ding-yi-guo-lv-qi.md │ ├── chapter3.html │ ├── chapter3 │ │ ├── flaskzhong-shi-yong-shu-ju-ku.md │ │ ├── shu-ju-ku-de-she-zhi.html │ │ ├── shu-ju-ku-ji-ben-cao-zuo.html │ │ ├── shu-ju-ku-jing-gao-jie-jue.md │ │ ├── shu-ju-ku-qian-yi.md │ │ ├── zong-he-an-4f8b-tu-shu-guan-li.html │ │ └── zong-he-an-4f8b-tu-shu-guan-li │ │ │ ├── biao-dan-yan-zheng.html │ │ │ ├── ding-yi-mo-xing.html │ │ │ ├── shan-chu-shu-ju.html │ │ │ ├── shu-ju-ku-biao-chuang-jian-ji-ce-shi-shu-ju-tian-jia.md │ │ │ └── shu-ju-xian-793a26-biao-dan-tian-jia.html │ ├── chapter4.md │ ├── chapter4 │ │ ├── bu-shu.md │ │ ├── dan-yuan-ce-shi.md │ │ ├── lan-tu.md │ │ ├── restful.md │ │ └── you-jian-kuo-zhan.md │ ├── gitbook │ │ ├── app.js │ │ ├── fonts │ │ │ └── fontawesome │ │ │ │ ├── FontAwesome.otf │ │ │ │ ├── fontawesome-webfont.eot │ │ │ │ ├── fontawesome-webfont.svg │ │ │ │ ├── fontawesome-webfont.ttf │ │ │ │ └── fontawesome-webfont.woff │ │ ├── images │ │ │ ├── apple-touch-icon-precomposed-152.png │ │ │ └── favicon.ico │ │ ├── plugins │ │ │ ├── gitbook-plugin-fontsettings │ │ │ │ ├── buttons.js │ │ │ │ └── website.css │ │ │ ├── gitbook-plugin-highlight │ │ │ │ ├── ebook.css │ │ │ │ └── website.css │ │ │ ├── gitbook-plugin-search │ │ │ │ ├── lunr.min.js │ │ │ │ ├── search.css │ │ │ │ └── search.js │ │ │ ├── gitbook-plugin-sharing │ │ │ │ └── buttons.js │ │ │ ├── gitbook-plugin-splitter │ │ │ │ ├── splitter.css │ │ │ │ └── splitter.js │ │ │ └── gitbook-plugin-toggle-chapters │ │ │ │ ├── toggle.css │ │ │ │ └── toggle.js │ │ └── style.css │ ├── index.html │ └── search_index.json ├── MyFlask.py ├── __init__.py ├── flask_pic │ ├── __init__.py │ ├── flask_pic_opt.py │ ├── strUtil.py │ └── templates │ │ └── index.html ├── routeAndRule.py ├── sql.py ├── templates │ ├── echarts.html │ ├── helloFlask.html │ └── login.html └── workTimeStatics.py ├── ftpPython ├── __init__.py ├── ftpStudy.py └── myFtp.py ├── logUse ├── __init__.py └── logUseTest.py ├── main.py ├── messageQueue ├── __init__.py └── rocketmq_test.py ├── multiprocess ├── __init__.py ├── multiprocess_study.py └── threding_study.py ├── nacos-python ├── __init__.py └── nacos_test.py ├── pandas_study ├── 13种pandas内置画图.ipynb ├── 15个数据清洗函数-pandas.ipynb ├── 67个pandas常用函数.md ├── Pandas进阶修炼120题.ipynb ├── __init__.py ├── data │ ├── od_result.csv │ ├── od_test.csv │ └── server_util.csv ├── duplicates_and_fillNan.py ├── pandas-cleanning │ ├── pandas文本处理.ipynb │ ├── pandas缺失值处理.ipynb │ ├── pandas重复值处理.ipynb │ └── readme.md ├── pandas-groupby常见用法.md ├── pandas-pivot_table.ipynb ├── pandas-数据透视表.md ├── pandasVSpolars.py ├── pandas_datetime.py ├── pandas_datetime2.py ├── pandas_groupby.ipynb ├── pandas_groupby_parallel.py ├── pandas_select_column.py ├── pandas_sort.py ├── pandas_style.ipynb ├── pandas_to_sql_str.py ├── pandas_visual_1&2d.py ├── pandas常用速查.md ├── pandas爬虫.ipynb ├── single_od.py ├── sort_data.xlsx └── 缺失值处理(过滤、填充).ipynb ├── pyspark_demo ├── __init__.py └── pyspark_udf_json.py ├── readme.md ├── sample_utils ├── 25个Python文本处理案例.md └── search_sug_trie.py ├── scriptPython ├── __init__.py ├── automation.py ├── pyAutoGUI_test.py ├── scriptStudy.py └── test111.py ├── seafyEnvironment.txt ├── timedTask ├── __init__.py ├── celery_asyn │ ├── __init__.py │ ├── celeryconfig.py │ ├── produce.py │ ├── readme.md │ ├── result.py │ ├── task1.py │ └── task2.py ├── celery_basic │ ├── __init__.py │ ├── celery_test.py │ ├── check.py │ ├── readme.md │ └── task.py ├── scheduled_mail.py └── timedTask_test.py ├── visualization ├── .ipynb_checkpoints │ └── matplotlib_study-checkpoint.ipynb ├── BingDwenDwen.py ├── Python Seaborn搞定线型回归图曲线.ipynb ├── california.png ├── ccccc.gif ├── data │ ├── AirPassengers.csv │ ├── BTC.csv │ ├── data.csv │ ├── data1.csv │ ├── diamonds_filter.csv │ ├── economics.csv │ ├── logo.png │ ├── midwest_filter.csv │ ├── mpg_ggplot2.csv │ ├── mtcars.csv │ └── 店铺数量.xlsx ├── dynamicDiagram.py ├── matplotlib_more.ipynb ├── matplotlib_pie.ipynb ├── matplotlib_study.ipynb ├── matplotlib常用画图01(pandas).ipynb ├── matplotlib常用画图02(pandas).ipynb ├── matplotlib常用画图03(pandas).ipynb ├── seaborn_visualization.ipynb ├── sigmoid.png ├── waterPoloChart.ipynb ├── 动态图表 │ ├── alive_chart.py │ ├── data │ │ ├── Aus_Elec_Gen_1980_2018.csv │ │ ├── Newcastle_Australia_Max_Temps.csv │ │ ├── Newcastle_Australia_Min_Temps.csv │ │ ├── Regional Data - Sheet1.csv │ │ ├── confirmed_cases_table1_location.csv │ │ ├── covid19.csv │ │ ├── geo-data │ │ │ └── italy-with-regions │ │ │ │ ├── reg2011_g.dbf │ │ │ │ ├── reg2011_g.prj │ │ │ │ ├── reg2011_g.sbn │ │ │ │ ├── reg2011_g.sbx │ │ │ │ ├── reg2011_g.shp │ │ │ │ ├── reg2011_g.shp.xml │ │ │ │ └── reg2011_g.shx │ │ ├── italy-covid-region.gpkg │ │ ├── long.csv │ │ ├── multi.csv │ │ ├── nsw-covid-cases-by-postcode.csv │ │ ├── nsw-covid19-cases-by-postcode.gpkg │ │ ├── package_show.json │ │ ├── postcode-data.csv │ │ ├── urban_pop.csv │ │ └── yuhuanshui.csv │ ├── examples │ │ └── yuhuanshui.gif │ ├── pendulum_sample.ipynb │ └── 使用教程.txt └── 抖音数据分析 │ ├── 2018年抖音数据.csv │ ├── douyin.csv │ ├── douyin.png │ ├── douyin_chart.py │ ├── 使用教程.txt │ ├── 各类型抖音大V点赞数汇总图.html │ ├── 各类型抖音大V粉丝数汇总图.html │ ├── 抖音大V分享数TOP10(亿).html │ ├── 抖音大V城市分布TOP10.html │ ├── 抖音大V平均视频点赞数TOP10(万).html │ ├── 抖音大V平均视频粉丝数TOP10(万).html │ ├── 抖音大V性别分布情况.html │ ├── 抖音大V毕业学校TOP10.html │ ├── 抖音大V点赞数TOP10(亿).html │ ├── 抖音大V点赞数分布情况(万).html │ ├── 抖音大V省份分布情况.html │ ├── 抖音大V粉丝数TOP10(万).html │ ├── 抖音大V粉丝数分布情况(万).html │ └── 抖音大V评论数TOP10(亿).html └── 异常时序检测 ├── .ipynb_checkpoints └── Paddle2.0基于AUTOENCODER实现异常时序检测-checkpoint.ipynb ├── Paddle2.0基于AUTOENCODER实现异常时序检测.ipynb ├── __init__.py ├── data ├── artificialNoAnomaly │ ├── art_daily_no_noise.csv │ ├── art_daily_perfect_square_wave.csv │ ├── art_daily_small_noise.csv │ ├── art_flatline.csv │ └── art_noisy.csv └── artificialWithAnomaly │ ├── art_daily_flatmiddle.csv │ ├── art_daily_jumpsdown.csv │ ├── art_daily_jumpsup.csv │ ├── art_daily_nojump.csv │ ├── art_increase_spike_density.csv │ └── art_load_balancer_spikes.csv └── model /QR-code.JPG: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/SeafyLiang/Python_study/HEAD/QR-code.JPG -------------------------------------------------------------------------------- /argparseTest.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/SeafyLiang/Python_study/HEAD/argparseTest.py -------------------------------------------------------------------------------- /basics/31个字符串常用函数.ipynb: 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