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 Awesome Python !Awesome (https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg) (https://github.com/sindresorhus/awesome)
 Awesome Python !Awesome (https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg) (https://github.com/sindresorhus/awesome)
An opinionated list of awesome Python frameworks, libraries, software and resources.
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- **Podcasts** (#podcasts) 
- Contributing (#contributing)
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Admin Panels
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* **flake8** (https://github.com/PyCQA/flake8) - A wrapper around `pycodestyle`, `pyflakes` and McCabe.
 * **awesome-flake8-extensions** (https://github.com/DmytroLitvinov/awesome-flake8-extensions) 
* **pylint** (https://github.com/pylint-dev/pylint) - A fully customizable source code analyzer. 
* **ruff** (https://github.com/astral-sh/ruff) - An extremely fast Python linter and code formatter. 
⟡ Code Formatters
* **black** (https://github.com/psf/black) - The uncompromising Python code formatter. 
* **isort** (https://github.com/timothycrosley/isort) - A Python utility / library to sort imports.
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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.
⟡ pytorch (https://github.com/pytorch/pytorch) - Tensors and Dynamic neural networks in Python with strong GPU acceleration.
⟡ pytorch-lightning (https://github.com/Lightning-AI/pytorch-lightning) - Deep learning framework to train, deploy, and ship AI products Lightning fast.
⟡ stable-baselines3 (https://github.com/DLR-RM/stable-baselines3) - PyTorch implementations of Stable Baselines (deep) reinforcement learning algorithms.
⟡ tensorflow (https://github.com/tensorflow/tensorflow) - The most popular Deep Learning framework created by Google.
⟡ theano (https://github.com/Theano/Theano) - A library for fast numerical computation.
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* **PyPI** (https://pypi.org/) 
⟡ conda (https://github.com/conda/conda/) - Cross-platform, Python-agnostic binary package manager.
⟡ poetry (https://github.com/sdispater/poetry) - Python dependency management and packaging made easy.
⟡ uv (https://github.com/astral-sh/uv) - An extremely fast Python package and project manager, written in Rust.
Package Repositories
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* **xlwings** (https://github.com/ZoomerAnalytics/xlwings) - A BSD-licensed library that makes it easy to call Python from Excel and vice versa. 
* **xlwt** (https://github.com/python-excel/xlwt) / **xlrd** (https://github.com/python-excel/xlrd) - Writing and reading data and formatting information from Excel files.
⟡ PDF
* **PDFMiner** (https://github.com/euske/pdfminer) - A tool for extracting information from PDF documents. 
* **PyPDF2** (https://github.com/mstamy2/PyPDF2) - A library capable of splitting, merging and transforming PDF pages.
* **ReportLab** (https://www.reportlab.com/opensource/) - Allowing Rapid creation of rich PDF documents. 
* **pdfminer.six** (https://github.com/pdfminer/pdfminer.six) - Pdfminer.six is a community maintained fork of the original PDFMiner.
* **PyPDF2** (https://github.com/mstamy2/PyPDF2) - A library capable of splitting, merging and transforming PDF pages. 
* **ReportLab** (https://www.reportlab.com/opensource/) - Allowing Rapid creation of rich PDF documents. 
⟡ Markdown
* **Mistune** (https://github.com/lepture/mistune) - Fastest and full featured pure Python parsers of Markdown. 
* **Python-Markdown** (https://github.com/waylan/Python-Markdown) - A Python implementation of John Grubers Markdown.
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⟡ waitress (https://github.com/Pylons/waitress) - Multi-threaded, powers Pyramid.
⟡ werkzeug (https://github.com/pallets/werkzeug) - A WSGI utility library for Python that powers Flask and can easily be embedded into your own projects.
 Resources
 Resources
Where to discover learning resources or new Python libraries.
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⟡ Python Test (https://podcast.pythontest.com/)
⟡ The Real Python Podcast (https://realpython.com/podcasts/rpp/)
 Contributing
 Contributing
Your contributions are always welcome! Please take a look at the contribution guidelines (https://github.com/vinta/awesome-python/blob/master/CONTRIBUTING.md) first.
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If you have any question about this opinionated list, do not hesitate to contact me @VintaChen (https://twitter.com/VintaChen) on Twitter or open an issue on GitHub.
python Github: https://github.com/vinta/awesome-python