├── .flake8 ├── .gitattributes ├── .github ├── FUNDING.yml ├── ISSUE_TEMPLATE │ └── article_topic.md └── workflows │ └── deploy.yml ├── .gitignore ├── .isort.cfg ├── .pre-commit-config.yaml ├── Makefile ├── README.md ├── README_archived.md ├── _config.yml ├── applications ├── .gitignore ├── bored_app.py ├── notion_examples │ ├── add_new.py │ ├── get_title.py │ └── traverse.py ├── python_snippet_tutorial │ ├── question_example.py │ ├── rich_example.py │ ├── scraping_example.py │ └── typer_example.py ├── pywebio_1_3_0 │ ├── app_pin.py │ ├── app_without_pin.py │ ├── input_update_example.py │ ├── tab_example.py │ └── utils.py ├── pywebio_examples │ ├── chicken_and_rice.jpeg │ ├── generate_pdf.py │ ├── generate_report.py │ ├── noodle.jpeg │ └── output_funcs.py ├── same-stats-different-graphs │ └── app_before.py ├── simpy_examples │ ├── customer.py │ ├── restaurant.py │ └── waiter.py └── wordle_app │ ├── test_wordle.py │ └── wordle.py ├── contribution.md ├── data_engineer ├── duckdb.ipynb └── pyspark_sql_complete_guide.ipynb ├── data_engineering └── from_pandas_to_production_delta_rs.ipynb ├── data_science_tools ├── .gitignore ├── Datapane_new_features │ ├── analyzing_articles.ipynb │ └── iris_project.ipynb ├── Hyperdash.ipynb ├── Yellowbrick.ipynb ├── advanced_pytest │ ├── pytest.ini │ ├── test_benchmark.py │ ├── test_examply.py │ └── test_repeat.py ├── behave_examples │ ├── features │ │ ├── directional_testing.feature │ │ ├── invariant_testing.feature │ │ ├── minimum_func_testing.feature │ │ └── steps │ │ │ ├── directional_testing.py │ │ │ ├── invariant_testing.py │ │ │ └── minimum_func_testing.py │ └── pytest_examples │ │ ├── directional_testing.py │ │ ├── invariant_testing.py │ │ └── minimum_func_testing.py ├── blob_datapane.ipynb ├── duckdb.ipynb ├── embed_charts.ipynb ├── faker.ipynb ├── fugueSQL.ipynb ├── fugue_bigquery.ipynb ├── great_expectations_example │ ├── README.md │ ├── data │ │ ├── first_data.csv │ │ └── second_data.csv │ └── great_expectations │ │ ├── .gitignore │ │ ├── checkpoints │ │ └── first_checkpoint.yml │ │ ├── expectations │ │ ├── .ge_store_backend_id │ │ └── first_data │ │ │ └── csv │ │ │ └── warning.json │ │ ├── great_expectations.yml │ │ ├── plugins │ │ └── custom_data_docs │ │ │ └── styles │ │ │ └── data_docs_custom_styles.css │ │ └── uncommitted │ │ ├── config_variables.yml │ │ ├── data_docs │ │ └── local_site │ │ │ ├── expectations │ │ │ └── first_data │ │ │ │ └── csv │ │ │ │ └── warning.html │ │ │ ├── index.html │ │ │ ├── static │ │ │ ├── fonts │ │ │ │ └── HKGrotesk │ │ │ │ │ ├── HKGrotesk-Bold.otf │ │ │ │ │ ├── HKGrotesk-BoldItalic.otf │ │ │ │ │ ├── HKGrotesk-Italic.otf │ │ │ │ │ ├── HKGrotesk-Light.otf │ │ │ │ │ ├── HKGrotesk-LightItalic.otf │ │ │ │ │ ├── HKGrotesk-Medium.otf │ │ │ │ │ ├── HKGrotesk-MediumItalic.otf │ │ │ │ │ ├── HKGrotesk-Regular.otf │ │ │ │ │ ├── HKGrotesk-SemiBold.otf │ │ │ │ │ └── HKGrotesk-SemiBoldItalic.otf │ │ │ ├── images │ │ │ │ ├── favicon.ico │ │ │ │ ├── logo-long-vector.svg │ │ │ │ └── short-logo-vector.svg │ │ │ └── styles │ │ │ │ ├── data_docs_custom_styles_template.css │ │ │ │ └── data_docs_default_styles.css │ │ │ └── validations │ │ │ └── first_data │ │ │ └── csv │ │ │ └── warning │ │ │ ├── 20211007-155653-my-run-name-template │ │ │ └── 20211007T155653.943372Z │ │ │ │ └── deada945c28415fb7b0cfd6f663b7dc3.html │ │ │ ├── 20211007-160004-my-run-name-template │ │ │ └── 20211007T160004.063174Z │ │ │ │ └── deada945c28415fb7b0cfd6f663b7dc3.html │ │ │ ├── 20211007-160157-my-run-name-template │ │ │ └── 20211007T160157.047037Z │ │ │ │ └── deada945c28415fb7b0cfd6f663b7dc3.html │ │ │ └── __none__ │ │ │ ├── 20211007T133747.104373Z │ │ │ └── 609e953946445f7bf0a7bf98d5202c0a.html │ │ │ ├── 20211007T141033.366437Z │ │ │ └── 609e953946445f7bf0a7bf98d5202c0a.html │ │ │ ├── 20211007T155137.618483Z │ │ │ └── 609e953946445f7bf0a7bf98d5202c0a.html │ │ │ ├── 20211007T155312.863343Z │ │ │ └── 609e953946445f7bf0a7bf98d5202c0a.html │ │ │ ├── 20211007T155513.556717Z │ │ │ └── 609e953946445f7bf0a7bf98d5202c0a.html │ │ │ ├── 20211007T155810.744322Z │ │ │ └── 609e953946445f7bf0a7bf98d5202c0a.html │ │ │ ├── 20211007T155922.546854Z │ │ │ └── 609e953946445f7bf0a7bf98d5202c0a.html │ │ │ ├── 20211007T160144.543546Z │ │ │ └── 609e953946445f7bf0a7bf98d5202c0a.html │ │ │ ├── 20211007T185702.941158Z │ │ │ └── 609e953946445f7bf0a7bf98d5202c0a.html │ │ │ ├── 20211007T201732.585423Z │ │ │ └── 609e953946445f7bf0a7bf98d5202c0a.html │ │ │ └── 20211013T091426.840536Z │ │ │ └── 609e953946445f7bf0a7bf98d5202c0a.html │ │ ├── datasource_new.ipynb │ │ ├── edit_checkpoint_first_checkpoint.ipynb │ │ ├── edit_first_data.csv.warning.ipynb │ │ └── validations │ │ ├── .ge_store_backend_id │ │ └── first_data │ │ └── csv │ │ └── warning │ │ ├── 20211007-155653-my-run-name-template │ │ └── 20211007T155653.943372Z │ │ │ └── deada945c28415fb7b0cfd6f663b7dc3.json │ │ ├── 20211007-160004-my-run-name-template │ │ └── 20211007T160004.063174Z │ │ │ └── deada945c28415fb7b0cfd6f663b7dc3.json │ │ ├── 20211007-160157-my-run-name-template │ │ └── 20211007T160157.047037Z │ │ │ └── deada945c28415fb7b0cfd6f663b7dc3.json │ │ └── __none__ │ │ ├── 20211007T133747.104373Z │ │ └── 609e953946445f7bf0a7bf98d5202c0a.json │ │ ├── 20211007T141033.366437Z │ │ └── 609e953946445f7bf0a7bf98d5202c0a.json │ │ ├── 20211007T155137.618483Z │ │ └── 609e953946445f7bf0a7bf98d5202c0a.json │ │ ├── 20211007T155312.863343Z │ │ └── 609e953946445f7bf0a7bf98d5202c0a.json │ │ ├── 20211007T155513.556717Z │ │ └── 609e953946445f7bf0a7bf98d5202c0a.json │ │ ├── 20211007T155810.744322Z │ │ └── 609e953946445f7bf0a7bf98d5202c0a.json │ │ ├── 20211007T155922.546854Z │ │ └── 609e953946445f7bf0a7bf98d5202c0a.json │ │ ├── 20211007T160144.543546Z │ │ └── 609e953946445f7bf0a7bf98d5202c0a.json │ │ ├── 20211007T185702.941158Z │ │ └── 609e953946445f7bf0a7bf98d5202c0a.json │ │ ├── 20211007T201732.585423Z │ │ └── 609e953946445f7bf0a7bf98d5202c0a.json │ │ └── 20211013T091426.840536Z │ │ └── 609e953946445f7bf0a7bf98d5202c0a.json ├── hypothesis_example │ ├── get_started.py │ └── test_encoder.py ├── marimo_examples │ ├── auto_upate.py │ ├── dashboard.py │ ├── interactive_notebook.py │ ├── isolated_notebook.py │ ├── test_example.py │ └── variable_redefinition.py ├── narwhals.ipynb ├── narwhals_row_ordering.ipynb ├── pandas_api_on_spark.ipynb ├── pandera_example │ ├── pandera.ipynb │ └── schema.yml ├── pandera_hypothesis │ ├── test1.py │ ├── test2.py │ ├── test3.py │ └── test4.py ├── pgvector_rag.ipynb ├── polars_vs_pandas.ipynb ├── postgres_in_docker │ ├── Dockerfile │ ├── config.yaml │ ├── create_connection.ipynb │ └── save_data.py ├── prefect_example │ ├── data │ │ ├── processed │ │ │ └── Tue_Dec_21_2021_16-26-44 │ │ │ │ ├── get_classes_output │ │ │ │ └── split_data_output │ │ └── raw │ │ │ └── iris.csv │ ├── data_engineering.py │ ├── data_science.py │ ├── main.py │ ├── main_schedule.py │ └── params.json ├── pyLDAvis │ ├── .gitignore │ ├── Topic_modeling.ipynb │ ├── preprocess.ipynb │ └── pyLDAvis.ipynb ├── pyspark_parametrize.ipynb ├── pytest │ ├── README.md │ ├── advanced_fixtures │ │ ├── README.md │ │ ├── autouse_fixtures.py │ │ ├── conftest.py │ │ └── session_scoped.py │ ├── custom_markers │ │ ├── README.md │ │ ├── marked_tests.py │ │ └── pytest.ini │ ├── get_started │ │ └── sentiment.py │ ├── mocking │ │ ├── README.md │ │ ├── api_mocking.py │ │ ├── database_mocking.py │ │ └── requirements.txt │ ├── numerical_testing │ │ ├── README.md │ │ ├── dataframe_testing.py │ │ └── numpy_arrays.py │ ├── parametrization │ │ ├── process.py │ │ ├── process_fixture.py │ │ └── sentiment.py │ ├── project_config │ │ ├── README.md │ │ ├── conftest.py │ │ ├── pytest.ini │ │ └── test_with_fixtures.py │ ├── temporary_files │ │ ├── README.md │ │ ├── data_pipeline.py │ │ └── file_operations.py │ └── test_structure_example │ │ ├── src │ │ ├── __init__.py │ │ └── process.py │ │ └── tests │ │ ├── __init__.py │ │ └── test_process.py ├── schema.ipynb ├── shapey_values │ └── shapey_values.ipynb ├── strip_interactive_example.py ├── sympy_example.ipynb └── wandb_tracking │ ├── get_started.py │ ├── many_models.py │ ├── save_model.py │ └── sklearn_model.py ├── export_notebook.sh ├── feature_engineering ├── .gitignore ├── dirty_cat_example │ └── employee_salaries.ipynb ├── sklego_examples │ └── example.ipynb ├── snorkel_example │ ├── .gitignore │ ├── labeling.ipynb │ ├── processing.ipynb │ ├── test_fake_jobs.pkl │ └── train_fake_jobs.pkl └── yarl_example.ipynb ├── how_to_write_good_articles.md ├── img ├── Social media_facebook.jpg ├── danny.png ├── linkedin_connection.png └── sagar.jpeg ├── llm ├── Pinecone_Ollama.ipynb ├── __marimo__ │ └── session │ │ └── lchain_ollama.py.json ├── diffbot_llm.py ├── faster-chart-analysis-smolvlm-automation.ipynb ├── from_messy_pdfs_to_rag_ready_data_complete_document_processing_with_docling.ipynb ├── langchain_1.0_middleware.ipynb ├── langchain_ollama.ipynb ├── langraph.ipynb ├── lchain_deepseek.py ├── progressive_entity_extraction_business_documents.ipynb ├── pydantic_ai_examples.ipynb ├── smart_data_extraction_llamaindex.ipynb └── smart_data_extraction_llamaindex │ ├── README.md │ ├── async_document_extraction_pipeline.py │ ├── async_extract_receipts_pipeline.py │ ├── document_extraction_pipeline.py │ └── extract_receipts_pipeline.py ├── machine-learning ├── .gitignore ├── SVM_Separate_XOR.ipynb ├── collaborative_filtering │ ├── .gitignore │ ├── collaborative_filtering.ipynb │ └── get_subset.ipynb ├── cuml │ ├── cuml.ipynb │ └── cuml_more_gpu.ipynb ├── data_scientist_jobs │ ├── analysis.ipynb │ ├── categories.json │ ├── images │ │ ├── diffbot.png │ │ └── observable.png │ └── skill_categories.json ├── gpr_optimization.py ├── human_learn_examples │ ├── human-learn examples.ipynb │ └── rule_based_model.ipynb └── river_streaming │ └── streaming.ipynb ├── machine_learning ├── open_source_rag_pipeline_intelligent_qa_system.ipynb ├── pyspark_langchain.ipynb └── text_similarity_fuzzy_matching.ipynb ├── mathematical_programming ├── .gitignore ├── invest_stock │ └── stock_invest.ipynb ├── locations_of_stores │ ├── distance.xlsx │ └── location_of_stores.ipynb ├── production_and_inventory.ipynb ├── schedule_flight_crew │ ├── .gitignore │ ├── flight_crew_schedule.ipynb │ └── flight_schedule.csv └── schedule_workers │ ├── schedule.ipynb │ └── schedule.png ├── mlops └── essential-rag-evaluation-mlflow.ipynb ├── nlp ├── .config │ └── matplotlib │ │ └── fontlist-v330.json ├── .gitignore ├── PyTorch.ipynb ├── checklist │ └── checklist_examples.ipynb ├── conversational_rasa │ ├── .gitignore │ ├── actions │ │ ├── __init__.py │ │ └── actions.py │ ├── config.yml │ ├── credentials.yml │ ├── data │ │ ├── nlu.yml │ │ ├── rules.yml │ │ └── stories.yml │ ├── domain.yml │ ├── endpoints.yml │ └── tests │ │ └── test_stories.yml ├── convolutional_neural_network.ipynb ├── diffbot_examples │ ├── data_science_vs_data_engineer_requirements_terms.html │ ├── data_science_vs_data_engineer_task_terms.html │ ├── data_scientist_vs_data_engineer_requirements.ipynb │ ├── data_scientist_vs_data_engineer_task.ipynb │ └── process_data.ipynb ├── linkedin_analysis │ ├── README.md │ ├── message_analysis.ipynb │ └── network_analysis.ipynb ├── process_text.ipynb ├── spacy_streamlit_app │ ├── find_similarity_app.py │ └── sentiment_app.py ├── textblob.ipynb ├── texthero │ ├── process_data.ipynb │ └── texthero.ipynb ├── tweets_tokenize.ipynb └── word2vec.ipynb ├── productive_tools ├── .gitignore ├── Fugue_and_Duckdb │ ├── .gitignore │ ├── Fugue_and_Duckdb.ipynb │ └── preprocessing.ipynb ├── deepdiff_example.ipynb ├── logging_tools │ ├── catch_exceptions │ │ ├── better_exceptions.py │ │ ├── catch_decorator.py │ │ └── logging_example.py │ ├── filter │ │ ├── logging_example.py │ │ └── loguru_example.py │ ├── format_logs │ │ ├── logging_example.py │ │ └── loguru_example.py │ ├── motivation │ │ ├── logging_example.py │ │ ├── loguru_example.py │ │ └── print_example.py │ ├── pretty_logging │ │ ├── logging_example.py │ │ └── loguru_example.py │ ├── rotate_log │ │ ├── logging_example.py │ │ └── loguru_example.py │ └── save_to_file │ │ ├── logging_example.py │ │ └── loguru_example.py ├── pipe.ipynb ├── precommit_examples │ ├── .flake8 │ ├── .pre-commit-config.yaml │ ├── README.md │ ├── flake8_example.py │ ├── interrogate_example.py │ ├── isort_example.py │ ├── long_function.py │ └── pyproject.toml └── pregex.ipynb ├── pyproject.toml ├── python ├── 4_pandas_lesser_know_tricks-datapane.ipynb ├── 4_pandas_lesser_know_tricks.ipynb ├── Numpy_tricks.ipynb ├── Time.ipynb ├── asynchrous_mapping │ ├── async_error.py │ ├── async_sleep.py │ ├── sync_error.py │ ├── sync_sleep.py │ └── two_maps.py ├── debug_tools │ ├── heartrate_example.py │ ├── loguru_example.py │ └── snoop_example.py ├── decorator.ipynb ├── dictionary.ipynb ├── dictionary_ifelse.ipynb ├── eventsourcing_examples │ ├── aggregation_example.py │ ├── aggregation_more.py │ ├── application_example.py │ ├── non_eventsourcing_example.py │ └── plan.md ├── four_numpy_methods.ipynb ├── functools example.ipynb ├── good_functions │ ├── .gitignore │ ├── bad_code.py │ ├── good_code.py │ └── okay_code.py ├── keep_track.ipynb ├── knockknock_example.py ├── lambda.ipynb ├── module_example │ ├── combine_multiple_files │ │ ├── __init__.py │ │ ├── data_modules │ │ │ ├── __init__.py │ │ │ ├── load_data.py │ │ │ └── process_data.py │ │ └── main.py │ ├── directory_as_main_script │ │ └── data_modules │ │ │ ├── __init__.py │ │ │ ├── __main__.py │ │ │ ├── load_data.py │ │ │ └── process_data.py │ └── import_everything │ │ ├── main.py │ │ └── utils.py ├── notification │ ├── make_noise.py │ ├── send_email.py │ └── send_slack.py ├── prettify_terminal_output │ ├── pretty_text.py │ ├── train.py │ └── welcome.py ├── pydash.ipynb ├── python_314 │ └── test_t_string.py ├── python_tricks │ ├── create_file.py │ ├── data │ │ ├── data1.csv │ │ ├── data2.csv │ │ └── data3.csv │ ├── loop_directory.py │ └── train.py └── zip.ipynb ├── python_utilities ├── itertools_feature_engineering.ipynb ├── python_code_to_latex_jupyter_notebooks.ipynb ├── readable_regex_patterns.ipynb └── top_6_python_visualization_libraries.ipynb ├── scraping ├── .gitignore └── scrape_top_github.ipynb ├── scripts ├── generate_index.py └── remove_markdown.py ├── statistics ├── .gitignore ├── ANOVA_examples.ipynb ├── bayes_linear_regression │ ├── linear_regression.ipynb │ └── student-score.csv ├── bayesian_example │ ├── google analytics.ipynb │ └── google_analytics_20210101-20210701.csv ├── bayesian_theorem.ipynb ├── patsy_example.ipynb └── stackoverflow_survey │ ├── analyze_salary.ipynb │ └── visualize_other_factors.ipynb ├── terminal ├── reload_examples │ ├── entr_examples.py │ └── reloading_example.py ├── rich │ ├── create_columns.py │ ├── create_object_report.py │ ├── create_status.py │ ├── create_tree.py │ ├── pretty_print.py │ ├── progress_bar.py │ ├── scraping_data.py │ └── terminal_logging.py ├── typer_examples │ ├── argparse_example.py │ ├── argument_example.py │ ├── choices.py │ ├── command_example.py │ ├── get_started.py │ ├── option_callback.py │ ├── option_example_default_value.py │ ├── option_example_no_default_value.py │ └── option_prompt.py └── wtf │ └── config.yml ├── time_series ├── .gitignore ├── extract_date_features.ipynb ├── extract_features │ └── extract_features_from_dates.ipynb ├── google_analytics │ └── google-analytics-analysis.ipynb └── kats_examples │ └── kats.ipynb ├── uv.lock └── visualization ├── .gitignore ├── altair ├── altair.ipynb └── altair_advanced.ipynb ├── analyze_URL └── analyze_URL.ipynb ├── analyze_artificial_intelligence_companies └── analyze_artificial_intelligence_industry.ipynb ├── analyze_data_science_market ├── analyze_data_science_market.ipynb └── analyze_data_science_market_diffbot.ipynb ├── atoti_example ├── .gitignore └── atoti.ipynb ├── dropdown ├── dropdown.ipynb └── population.csv ├── ds_bootcamps ├── .gitignore ├── data_science_bootcamp.ipynb └── data_science_bootcamp_diffbot.ipynb ├── evidently_example ├── evidently_example.ipynb └── example.py ├── floweaver_example └── travel.ipynb ├── friend_paradox └── facebook_network.ipynb ├── gantt_chart ├── Project_1.svg ├── gantt_chart.ipynb └── multiple_projects.svg ├── github └── github_analysis.ipynb ├── graphistry_cugraph ├── download_process_data.ipynb ├── requirements.txt └── visualize_data.ipynb ├── ipyvizzu.ipynb ├── manim_exp ├── .gitignore ├── more.py └── start.py ├── medium_articles └── Visualization.ipynb ├── programming_language_by_age └── programming_languages.ipynb ├── pyvis_examples ├── employer_matching.xlsx └── pyvis.ipynb ├── scattertext ├── preprocessing.ipynb └── visualization.ipynb ├── statsannotation_example.ipynb ├── top_visualization.ipynb └── visualize_github_network └── github_explore.ipynb /.flake8: -------------------------------------------------------------------------------- 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