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Add Langchain to the list
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README.md
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README.md
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@ -105,8 +105,8 @@ Inspired by [awesome-php](https://github.com/ziadoz/awesome-php).
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* [flask-admin](https://github.com/flask-admin/flask-admin) - Simple and extensible administrative interface framework for Flask.
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* [flask-admin](https://github.com/flask-admin/flask-admin) - Simple and extensible administrative interface framework for Flask.
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* [flower](https://github.com/mher/flower) - Real-time monitor and web admin for Celery.
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* [flower](https://github.com/mher/flower) - Real-time monitor and web admin for Celery.
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* [jet-bridge](https://github.com/jet-admin/jet-bridge) - Admin panel framework for any application with nice UI (ex Jet Django).
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* [jet-bridge](https://github.com/jet-admin/jet-bridge) - Admin panel framework for any application with nice UI (ex Jet Django).
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* [wooey](https://github.com/wooey/wooey) - A Django app which creates automatic web UIs for Python scripts.
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* [streamlit](https://github.com/streamlit/streamlit) - A framework which lets you build dashboards, generate reports, or create chat apps in minutes.
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* [streamlit](https://github.com/streamlit/streamlit) - A framework which lets you build dashboards, generate reports, or create chat apps in minutes.
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* [wooey](https://github.com/wooey/wooey) - A Django app which creates automatic web UIs for Python scripts.
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## Algorithms and Design Patterns
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## Algorithms and Design Patterns
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@ -127,8 +127,8 @@ Inspired by [awesome-php](https://github.com/ziadoz/awesome-php).
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*[ASGI](https://asgi.readthedocs.io/en/latest/)-compatible web servers.*
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*[ASGI](https://asgi.readthedocs.io/en/latest/)-compatible web servers.*
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* [daphne](https://github.com/django/daphne) - A HTTP, HTTP2 and WebSocket protocol server for ASGI and ASGI-HTTP.
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* [daphne](https://github.com/django/daphne) - A HTTP, HTTP2 and WebSocket protocol server for ASGI and ASGI-HTTP.
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* [uvicorn](https://github.com/encode/uvicorn) - A lightning-fast ASGI server implementation, using uvloop and httptools.
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* [hypercorn](https://github.com/pgjones/hypercorn) - An ASGI and WSGI Server based on Hyper libraries and inspired by Gunicorn.
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* [hypercorn](https://github.com/pgjones/hypercorn) - An ASGI and WSGI Server based on Hyper libraries and inspired by Gunicorn.
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* [uvicorn](https://github.com/encode/uvicorn) - A lightning-fast ASGI server implementation, using uvloop and httptools.
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## Asynchronous Programming
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## Asynchronous Programming
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@ -137,20 +137,20 @@ Inspired by [awesome-php](https://github.com/ziadoz/awesome-php).
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* [asyncio](https://docs.python.org/3/library/asyncio.html) - (Python standard library) Asynchronous I/O, event loop, coroutines and tasks.
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* [asyncio](https://docs.python.org/3/library/asyncio.html) - (Python standard library) Asynchronous I/O, event loop, coroutines and tasks.
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- [awesome-asyncio](https://github.com/timofurrer/awesome-asyncio)
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- [awesome-asyncio](https://github.com/timofurrer/awesome-asyncio)
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* [concurrent.futures](https://docs.python.org/3/library/concurrent.futures.html) - (Python standard library) A high-level interface for asynchronously executing callables.
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* [concurrent.futures](https://docs.python.org/3/library/concurrent.futures.html) - (Python standard library) A high-level interface for asynchronously executing callables.
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* [eventlet](https://github.com/eventlet/eventlet) - Asynchronous framework with WSGI support.
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* [gevent](https://github.com/gevent/gevent) - A coroutine-based Python networking library that uses [greenlet](https://github.com/python-greenlet/greenlet).
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* [multiprocessing](https://docs.python.org/3/library/multiprocessing.html) - (Python standard library) Process-based parallelism.
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* [multiprocessing](https://docs.python.org/3/library/multiprocessing.html) - (Python standard library) Process-based parallelism.
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* [trio](https://github.com/python-trio/trio) - A friendly library for async concurrency and I/O.
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* [trio](https://github.com/python-trio/trio) - A friendly library for async concurrency and I/O.
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* [twisted](https://github.com/twisted/twisted) - An event-driven networking engine.
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* [twisted](https://github.com/twisted/twisted) - An event-driven networking engine.
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* [uvloop](https://github.com/MagicStack/uvloop) - Ultra fast asyncio event loop.
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* [uvloop](https://github.com/MagicStack/uvloop) - Ultra fast asyncio event loop.
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* [eventlet](https://github.com/eventlet/eventlet) - Asynchronous framework with WSGI support.
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* [gevent](https://github.com/gevent/gevent) - A coroutine-based Python networking library that uses [greenlet](https://github.com/python-greenlet/greenlet).
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## Audio
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## Audio
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*Libraries for manipulating audio and its metadata.*
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*Libraries for manipulating audio and its metadata.*
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* Audio
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* Audio
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* [audioread](https://github.com/beetbox/audioread) - Cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio decoding.
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* [audioFlux](https://github.com/libAudioFlux/audioFlux) - A library for audio and music analysis, feature extraction.
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* [audioFlux](https://github.com/libAudioFlux/audioFlux) - A library for audio and music analysis, feature extraction.
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* [audioread](https://github.com/beetbox/audioread) - Cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio decoding.
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* [dejavu](https://github.com/worldveil/dejavu) - Audio fingerprinting and recognition.
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* [dejavu](https://github.com/worldveil/dejavu) - Audio fingerprinting and recognition.
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* [kapre](https://github.com/keunwoochoi/kapre) - Keras Audio Preprocessors.
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* [kapre](https://github.com/keunwoochoi/kapre) - Keras Audio Preprocessors.
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* [librosa](https://github.com/librosa/librosa) - Python library for audio and music analysis.
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* [librosa](https://github.com/librosa/librosa) - Python library for audio and music analysis.
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@ -271,8 +271,8 @@ Inspired by [awesome-php](https://github.com/ziadoz/awesome-php).
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*Useful CLI-based tools for productivity.*
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*Useful CLI-based tools for productivity.*
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* Productivity Tools
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* Productivity Tools
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* [copier](https://github.com/copier-org/copier) - A library and command-line utility for rendering projects templates.
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* [cookiecutter](https://github.com/cookiecutter/cookiecutter) - A command-line utility that creates projects from cookiecutters (project templates).
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* [cookiecutter](https://github.com/cookiecutter/cookiecutter) - A command-line utility that creates projects from cookiecutters (project templates).
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* [copier](https://github.com/copier-org/copier) - A library and command-line utility for rendering projects templates.
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* [doitlive](https://github.com/sloria/doitlive) - A tool for live presentations in the terminal.
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* [doitlive](https://github.com/sloria/doitlive) - A tool for live presentations in the terminal.
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* [howdoi](https://github.com/gleitz/howdoi) - Instant coding answers via the command line.
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* [howdoi](https://github.com/gleitz/howdoi) - Instant coding answers via the command line.
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* [invoke](https://github.com/pyinvoke/invoke) - A tool for managing shell-oriented subprocesses and organizing executable Python code into CLI-invokable tasks.
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* [invoke](https://github.com/pyinvoke/invoke) - A tool for managing shell-oriented subprocesses and organizing executable Python code into CLI-invokable tasks.
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@ -301,8 +301,8 @@ Inspired by [awesome-php](https://github.com/ziadoz/awesome-php).
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*Libraries for storing and parsing configuration options.*
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*Libraries for storing and parsing configuration options.*
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* [configparser](https://docs.python.org/3/library/configparser.html) - (Python standard library) INI file parser.
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* [configobj](https://github.com/DiffSK/configobj) - INI file parser with validation.
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* [configobj](https://github.com/DiffSK/configobj) - INI file parser with validation.
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* [configparser](https://docs.python.org/3/library/configparser.html) - (Python standard library) INI file parser.
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* [hydra](https://github.com/facebookresearch/hydra) - Hydra is a framework for elegantly configuring complex applications.
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* [hydra](https://github.com/facebookresearch/hydra) - Hydra is a framework for elegantly configuring complex applications.
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* [python-decouple](https://github.com/HBNetwork/python-decouple) - Strict separation of settings from code.
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* [python-decouple](https://github.com/HBNetwork/python-decouple) - Strict separation of settings from code.
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@ -316,10 +316,10 @@ Inspired by [awesome-php](https://github.com/ziadoz/awesome-php).
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*Libraries for data analyzing.*
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*Libraries for data analyzing.*
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* [pandas](http://pandas.pydata.org/) - A library providing high-performance, easy-to-use data structures and data analysis tools.
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* [aws-sdk-pandas](https://github.com/aws/aws-sdk-pandas) - Pandas on AWS.
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* [aws-sdk-pandas](https://github.com/aws/aws-sdk-pandas) - Pandas on AWS.
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* [datasette](https://github.com/simonw/datasette) - An open source multi-tool for exploring and publishing data.
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* [datasette](https://github.com/simonw/datasette) - An open source multi-tool for exploring and publishing data.
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* [optimus](https://github.com/hi-primus/optimus) - Agile Data Science Workflows made easy with PySpark.
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* [optimus](https://github.com/hi-primus/optimus) - Agile Data Science Workflows made easy with PySpark.
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* [pandas](http://pandas.pydata.org/) - A library providing high-performance, easy-to-use data structures and data analysis tools.
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## Data Validation
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## Data Validation
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* [cerberus](https://github.com/pyeve/cerberus) - A lightweight and extensible data validation library.
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* [cerberus](https://github.com/pyeve/cerberus) - A lightweight and extensible data validation library.
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* [colander](https://github.com/Pylons/colander) - Validating and deserializing data obtained via XML, JSON, an HTML form post.
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* [colander](https://github.com/Pylons/colander) - Validating and deserializing data obtained via XML, JSON, an HTML form post.
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* [jsonschema](https://github.com/python-jsonschema/jsonschema) - An implementation of [JSON Schema](http://json-schema.org/) for Python.
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* [jsonschema](https://github.com/python-jsonschema/jsonschema) - An implementation of [JSON Schema](http://json-schema.org/) for Python.
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* [pydantic](https://github.com/pydantic/pydantic) - Data validation using Python type hints.
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* [schema](https://github.com/keleshev/schema) - A library for validating Python data structures.
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* [schema](https://github.com/keleshev/schema) - A library for validating Python data structures.
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* [schematics](https://github.com/schematics/schematics) - Data Structure Validation.
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* [schematics](https://github.com/schematics/schematics) - Data Structure Validation.
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* [voluptuous](https://github.com/alecthomas/voluptuous) - A Python data validation library.
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* [voluptuous](https://github.com/alecthomas/voluptuous) - A Python data validation library.
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* [pydantic](https://github.com/pydantic/pydantic) - Data validation using Python type hints.
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## Data Visualization
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## Data Visualization
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* PostgreSQL - [awesome-postgres](https://github.com/dhamaniasad/awesome-postgres)
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* PostgreSQL - [awesome-postgres](https://github.com/dhamaniasad/awesome-postgres)
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* [psycopg](https://github.com/psycopg/psycopg) - The most popular PostgreSQL adapter for Python.
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* [psycopg](https://github.com/psycopg/psycopg) - The most popular PostgreSQL adapter for Python.
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* SQlite - [awesome-sqlite](https://github.com/planetopendata/awesome-sqlite)
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* SQlite - [awesome-sqlite](https://github.com/planetopendata/awesome-sqlite)
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* [sqlite3](https://docs.python.org/3/library/sqlite3.html) - (Python standard library) SQlite interface compliant with DB-API 2.0.
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* [sqlite-utils](https://github.com/simonw/sqlite-utils) - Python CLI utility and library for manipulating SQLite databases.
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* [sqlite-utils](https://github.com/simonw/sqlite-utils) - Python CLI utility and library for manipulating SQLite databases.
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* [sqlite3](https://docs.python.org/3/library/sqlite3.html) - (Python standard library) SQlite interface compliant with DB-API 2.0.
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* Other Relational Databases
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* Other Relational Databases
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* [pymssql](https://github.com/pymssql/pymssql) - A simple database interface to Microsoft SQL Server.
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* [clickhouse-driver](https://github.com/mymarilyn/clickhouse-driver) - Python driver with native interface for ClickHouse.
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* [clickhouse-driver](https://github.com/mymarilyn/clickhouse-driver) - Python driver with native interface for ClickHouse.
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* [pymssql](https://github.com/pymssql/pymssql) - A simple database interface to Microsoft SQL Server.
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* NoSQL Databases
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* NoSQL Databases
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* [cassandra-driver](https://github.com/datastax/python-driver) - The Python Driver for Apache Cassandra.
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* [cassandra-driver](https://github.com/datastax/python-driver) - The Python Driver for Apache Cassandra.
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* [happybase](https://github.com/python-happybase/happybase) - A developer-friendly library for Apache HBase.
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* [happybase](https://github.com/python-happybase/happybase) - A developer-friendly library for Apache HBase.
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* [kafka-python](https://github.com/dpkp/kafka-python) - The Python client for Apache Kafka.
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* [kafka-python](https://github.com/dpkp/kafka-python) - The Python client for Apache Kafka.
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* [pymongo](https://github.com/mongodb/mongo-python-driver) - The official Python client for MongoDB.
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* [motor](https://github.com/mongodb/motor) - The async Python driver for MongoDB.
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* [motor](https://github.com/mongodb/motor) - The async Python driver for MongoDB.
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* [pymongo](https://github.com/mongodb/mongo-python-driver) - The official Python client for MongoDB.
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* [redis-py](https://github.com/redis/redis-py) - The Python client for Redis.
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* [redis-py](https://github.com/redis/redis-py) - The Python client for Redis.
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## Date and Time
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## Date and Time
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*Frameworks for Neural Networks and Deep Learning. Also see [awesome-deep-learning](https://github.com/ChristosChristofidis/awesome-deep-learning).*
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*Frameworks for Neural Networks and Deep Learning. Also see [awesome-deep-learning](https://github.com/ChristosChristofidis/awesome-deep-learning).*
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* [keras](https://github.com/keras-team/keras) - A high-level neural networks library and capable of running on top of either TensorFlow or Theano.
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* [keras](https://github.com/keras-team/keras) - A high-level neural networks library and capable of running on top of either TensorFlow or Theano.
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* [pytorch](https://github.com/pytorch/pytorch) - Tensors and Dynamic neural networks in Python with strong GPU acceleration.
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* [pytorch-lightning](https://github.com/Lightning-AI/pytorch-lightning) - Deep learning framework to train, deploy, and ship AI products Lightning fast.
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* [pytorch-lightning](https://github.com/Lightning-AI/pytorch-lightning) - Deep learning framework to train, deploy, and ship AI products Lightning fast.
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* [pytorch](https://github.com/pytorch/pytorch) - Tensors and Dynamic neural networks in Python with strong GPU acceleration.
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* [stable-baselines3](https://github.com/DLR-RM/stable-baselines3) - PyTorch implementations of Stable Baselines (deep) reinforcement learning algorithms.
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* [stable-baselines3](https://github.com/DLR-RM/stable-baselines3) - PyTorch implementations of Stable Baselines (deep) reinforcement learning algorithms.
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* [tensorflow](https://github.com/tensorflow/tensorflow) - The most popular Deep Learning framework created by Google.
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* [tensorflow](https://github.com/tensorflow/tensorflow) - The most popular Deep Learning framework created by Google.
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* [theano](https://github.com/Theano/Theano) - A library for fast numerical computation.
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* [theano](https://github.com/Theano/Theano) - A library for fast numerical computation.
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*Libraries for file manipulation.*
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*Libraries for file manipulation.*
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* [mimetypes](https://docs.python.org/3/library/mimetypes.html) - (Python standard library) Map filenames to MIME types.
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* [mimetypes](https://docs.python.org/3/library/mimetypes.html) - (Python standard library) Map filenames to MIME types.
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* [pathlib](https://docs.python.org/3/library/pathlib.html) - (Python standard library) An cross-platform, object-oriented path library.
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* [path.py](https://github.com/jaraco/path.py) - A module wrapper for [os.path](https://docs.python.org/3/library/os.path.html).
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* [path.py](https://github.com/jaraco/path.py) - A module wrapper for [os.path](https://docs.python.org/3/library/os.path.html).
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* [pathlib](https://docs.python.org/3/library/pathlib.html) - (Python standard library) An cross-platform, object-oriented path library.
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* [python-magic](https://github.com/ahupp/python-magic) - A Python interface to the libmagic file type identification library.
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* [python-magic](https://github.com/ahupp/python-magic) - A Python interface to the libmagic file type identification library.
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* [watchdog](https://github.com/gorakhargosh/watchdog) - API and shell utilities to monitor file system events.
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* [watchdog](https://github.com/gorakhargosh/watchdog) - API and shell utilities to monitor file system events.
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*Functional Programming with Python.*
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*Functional Programming with Python.*
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* [coconut](https://github.com/evhub/coconut) - A variant of Python built for simple, elegant, Pythonic functional programming.
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* [coconut](https://github.com/evhub/coconut) - A variant of Python built for simple, elegant, Pythonic functional programming.
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* [cytoolz](https://github.com/pytoolz/cytoolz/) - Cython implementation of `Toolz`: High performance functional utilities.
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* [funcy](https://github.com/Suor/funcy) - A fancy and practical functional tools.
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* [funcy](https://github.com/Suor/funcy) - A fancy and practical functional tools.
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* [more-itertools](https://github.com/erikrose/more-itertools) - More routines for operating on iterables, beyond `itertools`.
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* [more-itertools](https://github.com/erikrose/more-itertools) - More routines for operating on iterables, beyond `itertools`.
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* [returns](https://github.com/dry-python/returns) - A set of type-safe monads, transformers, and composition utilities.
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* [returns](https://github.com/dry-python/returns) - A set of type-safe monads, transformers, and composition utilities.
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* [cytoolz](https://github.com/pytoolz/cytoolz/) - Cython implementation of `Toolz`: High performance functional utilities.
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* [toolz](https://github.com/pytoolz/toolz) - A collection of functional utilities for iterators, functions, and dictionaries.
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* [toolz](https://github.com/pytoolz/toolz) - A collection of functional utilities for iterators, functions, and dictionaries.
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## GUI Development
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## GUI Development
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*Libraries for working with graphical user interface applications.*
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*Libraries for working with graphical user interface applications.*
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* [curses](https://docs.python.org/3/library/curses.html) - Built-in wrapper for [ncurses](http://www.gnu.org/software/ncurses/) used to create terminal GUI applications.
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* [curses](https://docs.python.org/3/library/curses.html) - Built-in wrapper for [ncurses](http://www.gnu.org/software/ncurses/) used to create terminal GUI applications.
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* [DearPyGui](https://github.com/RaylockLLC/DearPyGui/) - A Simple GPU accelerated Python GUI framework
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* [Eel](https://github.com/ChrisKnott/Eel) - A library for making simple Electron-like offline HTML/JS GUI apps.
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* [Eel](https://github.com/ChrisKnott/Eel) - A library for making simple Electron-like offline HTML/JS GUI apps.
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* [enaml](https://github.com/nucleic/enaml) - Creating beautiful user-interfaces with Declarative Syntax like QML.
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* [enaml](https://github.com/nucleic/enaml) - Creating beautiful user-interfaces with Declarative Syntax like QML.
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* [Flexx](https://github.com/zoofIO/flexx) - Flexx is a pure Python toolkit for creating GUI's, that uses web technology for its rendering.
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* [Flexx](https://github.com/zoofIO/flexx) - Flexx is a pure Python toolkit for creating GUI's, that uses web technology for its rendering.
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@ -556,7 +557,6 @@ Inspired by [awesome-php](https://github.com/ziadoz/awesome-php).
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* [Toga](https://github.com/pybee/toga) - A Python native, OS native GUI toolkit.
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* [Toga](https://github.com/pybee/toga) - A Python native, OS native GUI toolkit.
|
||||||
* [urwid](http://urwid.org/) - A library for creating terminal GUI applications with strong support for widgets, events, rich colors, etc.
|
* [urwid](http://urwid.org/) - A library for creating terminal GUI applications with strong support for widgets, events, rich colors, etc.
|
||||||
* [wxPython](https://wxpython.org/) - A blending of the wxWidgets C++ class library with the Python.
|
* [wxPython](https://wxpython.org/) - A blending of the wxWidgets C++ class library with the Python.
|
||||||
* [DearPyGui](https://github.com/RaylockLLC/DearPyGui/) - A Simple GPU accelerated Python GUI framework
|
|
||||||
|
|
||||||
## GraphQL
|
## GraphQL
|
||||||
|
|
||||||
|
@ -626,11 +626,11 @@ Inspired by [awesome-php](https://github.com/ziadoz/awesome-php).
|
||||||
*Libraries for manipulating images.*
|
*Libraries for manipulating images.*
|
||||||
|
|
||||||
* [pillow](https://github.com/python-pillow/Pillow) - Pillow is the friendly [PIL](http://www.pythonware.com/products/pil/) fork.
|
* [pillow](https://github.com/python-pillow/Pillow) - Pillow is the friendly [PIL](http://www.pythonware.com/products/pil/) fork.
|
||||||
* [python-barcode](https://github.com/WhyNotHugo/python-barcode) - Create barcodes in Python with no extra dependencies.
|
|
||||||
* [pymatting](http://github.com/pymatting/pymatting) - A library for alpha matting.
|
* [pymatting](http://github.com/pymatting/pymatting) - A library for alpha matting.
|
||||||
|
* [python-barcode](https://github.com/WhyNotHugo/python-barcode) - Create barcodes in Python with no extra dependencies.
|
||||||
* [python-qrcode](https://github.com/lincolnloop/python-qrcode) - A pure Python QR Code generator.
|
* [python-qrcode](https://github.com/lincolnloop/python-qrcode) - A pure Python QR Code generator.
|
||||||
* [pywal](https://github.com/dylanaraps/pywal) - A tool that generates color schemes from images.
|
|
||||||
* [pyvips](https://github.com/libvips/pyvips) - A fast image processing library with low memory needs.
|
* [pyvips](https://github.com/libvips/pyvips) - A fast image processing library with low memory needs.
|
||||||
|
* [pywal](https://github.com/dylanaraps/pywal) - A tool that generates color schemes from images.
|
||||||
* [quads](https://github.com/fogleman/Quads) - Computer art based on quadtrees.
|
* [quads](https://github.com/fogleman/Quads) - Computer art based on quadtrees.
|
||||||
* [scikit-image](http://scikit-image.org/) - A Python library for (scientific) image processing.
|
* [scikit-image](http://scikit-image.org/) - A Python library for (scientific) image processing.
|
||||||
* [thumbor](https://github.com/thumbor/thumbor) - A smart imaging service. It enables on-demand crop, re-sizing and flipping of images.
|
* [thumbor](https://github.com/thumbor/thumbor) - A smart imaging service. It enables on-demand crop, re-sizing and flipping of images.
|
||||||
|
@ -640,9 +640,9 @@ Inspired by [awesome-php](https://github.com/ziadoz/awesome-php).
|
||||||
|
|
||||||
*Implementations of Python.*
|
*Implementations of Python.*
|
||||||
|
|
||||||
|
* [clpython](https://github.com/metawilm/cl-python) - Implementation of the Python programming language written in Common Lisp.
|
||||||
* [cpython](https://github.com/python/cpython) - **Default, most widely used implementation of the Python programming language written in C.**
|
* [cpython](https://github.com/python/cpython) - **Default, most widely used implementation of the Python programming language written in C.**
|
||||||
* [cython](https://github.com/cython/cython) - Optimizing Static Compiler for Python.
|
* [cython](https://github.com/cython/cython) - Optimizing Static Compiler for Python.
|
||||||
* [clpython](https://github.com/metawilm/cl-python) - Implementation of the Python programming language written in Common Lisp.
|
|
||||||
* [ironpython](https://github.com/IronLanguages/ironpython3) - Implementation of the Python programming language written in C#.
|
* [ironpython](https://github.com/IronLanguages/ironpython3) - Implementation of the Python programming language written in C#.
|
||||||
* [micropython](https://github.com/micropython/micropython) - A lean and efficient Python programming language implementation.
|
* [micropython](https://github.com/micropython/micropython) - A lean and efficient Python programming language implementation.
|
||||||
* [numba](https://github.com/numba/numba) - Python JIT compiler to LLVM aimed at scientific Python.
|
* [numba](https://github.com/numba/numba) - Python JIT compiler to LLVM aimed at scientific Python.
|
||||||
|
@ -699,12 +699,12 @@ Inspired by [awesome-php](https://github.com/ziadoz/awesome-php).
|
||||||
* [gym](https://github.com/openai/gym) - A toolkit for developing and comparing reinforcement learning algorithms.
|
* [gym](https://github.com/openai/gym) - A toolkit for developing and comparing reinforcement learning algorithms.
|
||||||
* [H2O](https://github.com/h2oai/h2o-3) - Open Source Fast Scalable Machine Learning Platform.
|
* [H2O](https://github.com/h2oai/h2o-3) - Open Source Fast Scalable Machine Learning Platform.
|
||||||
* [Metrics](https://github.com/benhamner/Metrics) - Machine learning evaluation metrics.
|
* [Metrics](https://github.com/benhamner/Metrics) - Machine learning evaluation metrics.
|
||||||
|
* [MindsDB](https://github.com/mindsdb/mindsdb) - MindsDB is an open source AI layer for existing databases that allows you to effortlessly develop, train and deploy state-of-the-art machine learning models using standard queries.
|
||||||
* [NuPIC](https://github.com/numenta/nupic) - Numenta Platform for Intelligent Computing.
|
* [NuPIC](https://github.com/numenta/nupic) - Numenta Platform for Intelligent Computing.
|
||||||
* [scikit-learn](http://scikit-learn.org/) - The most popular Python library for Machine Learning.
|
* [scikit-learn](http://scikit-learn.org/) - The most popular Python library for Machine Learning.
|
||||||
* [Spark ML](http://spark.apache.org/docs/latest/ml-guide.html) - [Apache Spark](http://spark.apache.org/)'s scalable Machine Learning library.
|
* [Spark ML](http://spark.apache.org/docs/latest/ml-guide.html) - [Apache Spark](http://spark.apache.org/)'s scalable Machine Learning library.
|
||||||
* [vowpal_porpoise](https://github.com/josephreisinger/vowpal_porpoise) - A lightweight Python wrapper for [Vowpal Wabbit](https://github.com/JohnLangford/vowpal_wabbit/).
|
* [vowpal_porpoise](https://github.com/josephreisinger/vowpal_porpoise) - A lightweight Python wrapper for [Vowpal Wabbit](https://github.com/JohnLangford/vowpal_wabbit/).
|
||||||
* [xgboost](https://github.com/dmlc/xgboost) - A scalable, portable, and distributed gradient boosting library.
|
* [xgboost](https://github.com/dmlc/xgboost) - A scalable, portable, and distributed gradient boosting library.
|
||||||
* [MindsDB](https://github.com/mindsdb/mindsdb) - MindsDB is an open source AI layer for existing databases that allows you to effortlessly develop, train and deploy state-of-the-art machine learning models using standard queries.
|
|
||||||
|
|
||||||
## Microsoft Windows
|
## Microsoft Windows
|
||||||
|
|
||||||
|
@ -733,6 +733,7 @@ Inspired by [awesome-php](https://github.com/ziadoz/awesome-php).
|
||||||
|
|
||||||
- General
|
- General
|
||||||
* [gensim](https://github.com/RaRe-Technologies/gensim) - Topic Modeling for Humans.
|
* [gensim](https://github.com/RaRe-Technologies/gensim) - Topic Modeling for Humans.
|
||||||
|
* [langchain](https://github.com/langchain/langchain) - A library for building applications with language models.
|
||||||
* [langid.py](https://github.com/saffsd/langid.py) - Stand-alone language identification system.
|
* [langid.py](https://github.com/saffsd/langid.py) - Stand-alone language identification system.
|
||||||
* [nltk](http://www.nltk.org/) - A leading platform for building Python programs to work with human language data.
|
* [nltk](http://www.nltk.org/) - A leading platform for building Python programs to work with human language data.
|
||||||
* [pattern](https://github.com/clips/pattern) - A web mining module.
|
* [pattern](https://github.com/clips/pattern) - A web mining module.
|
||||||
|
@ -972,8 +973,8 @@ Inspired by [awesome-php](https://github.com/ziadoz/awesome-php).
|
||||||
*Static site generator is a software that takes some text + templates as input and produces HTML files on the output.*
|
*Static site generator is a software that takes some text + templates as input and produces HTML files on the output.*
|
||||||
|
|
||||||
* [lektor](https://github.com/lektor/lektor) - An easy to use static CMS and blog engine.
|
* [lektor](https://github.com/lektor/lektor) - An easy to use static CMS and blog engine.
|
||||||
* [mkdocs](https://github.com/mkdocs/mkdocs/) - Markdown friendly documentation generator.
|
|
||||||
* [makesite](https://github.com/sunainapai/makesite) - Simple, lightweight, and magic-free static site/blog generator (< 130 lines).
|
* [makesite](https://github.com/sunainapai/makesite) - Simple, lightweight, and magic-free static site/blog generator (< 130 lines).
|
||||||
|
* [mkdocs](https://github.com/mkdocs/mkdocs/) - Markdown friendly documentation generator.
|
||||||
* [nikola](https://github.com/getnikola/nikola) - A static website and blog generator.
|
* [nikola](https://github.com/getnikola/nikola) - A static website and blog generator.
|
||||||
* [pelican](https://github.com/getpelican/pelican) - Static site generator that supports Markdown and reST syntax.
|
* [pelican](https://github.com/getpelican/pelican) - Static site generator that supports Markdown and reST syntax.
|
||||||
|
|
||||||
|
@ -1186,8 +1187,8 @@ Where to discover learning resources or new Python libraries.
|
||||||
|
|
||||||
* [Django Chat](https://djangochat.com/)
|
* [Django Chat](https://djangochat.com/)
|
||||||
* [Python Bytes](https://pythonbytes.fm)
|
* [Python Bytes](https://pythonbytes.fm)
|
||||||
* [Talk Python To Me](https://talkpython.fm/)
|
|
||||||
* [Python Test](https://podcast.pythontest.com/)
|
* [Python Test](https://podcast.pythontest.com/)
|
||||||
|
* [Talk Python To Me](https://talkpython.fm)
|
||||||
* [The Real Python Podcast](https://realpython.com/podcasts/rpp/)
|
* [The Real Python Podcast](https://realpython.com/podcasts/rpp/)
|
||||||
|
|
||||||
# Contributing
|
# Contributing
|
||||||
|
|
Loading…
Reference in New Issue
Block a user