https://github.com/wolforest/best-of-awesome

A list of best Python open source projects
https://github.com/wolforest/best-of-awesome

List: best-of-awesome

awesome awesome-list best-list python

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A list of best Python open source projects

• Host: GitHub
• URL: https://github.com/wolforest/best-of-awesome
• Owner: wolforest
• License: cc0-1.0
• Created: 2022-12-26T14:09:37.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2024-01-09T07:58:15.000Z (10 months ago)
• Last Synced: 2024-05-22T23:00:45.554Z (5 months ago)
• Topics: awesome, awesome-list, best-list, python
• Homepage:
• Size: 22.5 KB
• Stars: 2
• Watchers: 7
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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• ultimate-awesome - best-of-awesome - A list of best Python open source projects. (Other Lists / PowerShell Lists)

README

        
# Best Python

## docs for beginner

* [project structure](./docs/structure.md)

* [project & poetry](./docs/poetry.md)

* [basic syntax](./docs/syntax.md)

## best open source projects for beginner

* [poetry](https://python-poetry.org/) Python dependency management and packaging made easy 

* [pytest](https://www.pytest.org/) A mature full-featured Python testing tool.

* [pywolf](https://github.com/wolforest/pywolf) A simple python framework, config management, app context, and utils wrappers, ...

* [FastAPI](https://fastapi.tiangolo.com/) modern fast web framework. ([vs flask](https://www.turing.com/kb/fastapi-vs-flask-a-detailed-comparison))

* [databases](https://www.encode.io/databases/) Async database support for Python.

* [httpx](https://www.python-httpx.org/) A next generation HTTP client for Python

* [redis-py](https://github.com/redis/redis-py) Redis Python Client(with asyncio support)

* [jinja](https://jinja.palletsprojects.com/) A very fast and expressive template engine.

* [boltons](https://boltons.readthedocs.org/) 250+ constructs, recipes, and snippets which extend the Python standard library

* [arrow](https://github.com/arrow-py/arrow) Better dates & times for Python

* [pyyaml](https://pyyaml.org/) A full-featured YAML framework for the Python programming language.

* [awesome Python](https://awesome-python.com/) A curated list of awesome Python frameworks, libraries, software and resources

## cli

* [click](http://click.pocoo.org/dev/) A package for creating beautiful command line interfaces in a composable way.

* [rich](https://github.com/willmcgugan/rich) Python library for rich text and beautiful formatting in the terminal.

* [python-fire](https://github.com/google/python-fire) Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.

* [invoke](pyinvoke.org) Pythonic task management & command execution.

## multimedia

* [Pillow](https://python-pillow.org/) Python Imaging Library

## dev ops

* [ansible](https://www.ansible.com/) IT automation platform that makes your applications and systems easier to deploy and maintain.

* [salt](https://repo.saltproject.io/) Software to automate the management and configuration of any infrastructure or application at scale

* [Supervisor](http://supervisord.org/) Supervisor process control system for Unix (supervisord)

## data science

* [pandas](https://pandas.pydata.org/) fast, powerful, flexible and easy to use open source data analysis and manipulation tool

* [numpy](https://numpy.org/) The fundamental package for scientific computing with Python

* [matplotlib](https://matplotlib.org/) a comprehensive library for creating static, animated, and interactive visualizations

* [jupyter](https://jupyter.org/) web-based interactive development environment for notebooks, code, and data

* [scikit-learn](https://scikit-learn.org/) Simple and efficient tools for predictive data analysis

* [funNLP](https://github.com/fighting41love/funNLP) A collection of tools and datasets for Chinese NLP

* [jieba](https://github.com/fxsjy/jieba) The most popular Chinese text segmentation library

* [pytorch](https://github.com/pytorch/pytorch) - Tensors and Dynamic neural networks in Python with strong GPU acceleration.

* [tensorflow](https://github.com/tensorflow/tensorflow)  The most popular Deep Learning framework created by Google.

* [transformers](https://github.com/huggingface/transformers) State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

* [beautiful soup](https://www.crummy.com/software/BeautifulSoup/) get data out of html page

* [textract](https://github.com/deanmalmgren/textract) xtract text from any document