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| # Programming in Python | ||
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| - [Learning](#learning) | ||
| - [Cheatsheets](#cheatsheets) | ||
| - [Static analysis](#static-analysis) | ||
| - [Focussed packages](#focussed-packages) | ||
| - [Python Wrappers](#python-wrappers) | ||
| - [Best practices](#best-practices) | ||
| - [Testing](#testing) | ||
| - [Refactoring](#refactoring) | ||
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| ## Learning | ||
| - [Introduction to Python](https://simpliv-wordpress-com.cdn.ampproject.org/c/s/simpliv.wordpress.com/2019/06/27/best-way-to-learn-python-step-by-step-guide/amp/) | ||
| - [Learn Python](https://www.learnpython.org/) | ||
| - [Python 3 Tutorial](https://docs.python.org/3/tutorial/) | ||
| - Online Python REPLs & Editors | ||
| - [Python 2](https://repl.it/languages/Python2) | ||
| - [Python 3](https://repl.it/languages/Python3) | ||
| - [Coding Ground: Execute Python Online (Python v2.7.13)](https://www.tutorialspoint.com/execute_python_online.php) | ||
| - [The 10 Best Tools to Edit and Compile Python](https://noeticforce.com/python-online-compiler-interpreter-code-editors) | ||
| - [9 Online Interactive Shells to Write Python Anywhere](https://www.bettertechtips.com/internet/python-shell-online/) | ||
| - [Online Python Turtle Editor](https://repl.it/languages/python_turtle) | ||
| - [Online Python Compiler](https://www.onlinegdb.com/online_python_compiler) | ||
| - [Local machine: Interacting with Python](https://realpython.com/interacting-with-python/) | ||
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| ## Cheatsheets | ||
| - [Python Cheatsheet](https://www.pythoncheatsheet.org/) | ||
| - [Python for Data Science](https://s3.amazonaws.com/assets.datacamp.com/blog_assets/PythonForDataScience.pdf) | ||
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| ## Static analysis | ||
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| ### Focussed packages | ||
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| * [mccabe](https://github.com/PyCQA/mccabe) - check McCabe complexity | ||
| * [mypy](https://github.com/python/mypy) - a static type checker that aims to combine the benefits of duck typing and static typing, frequently used with [MonkeyType](https://github.com/Instagram/MonkeyType) | ||
| * [py-find-injection](https://github.com/uber/py-find-injection) - find SQL injection vulnerabilities in Python code | ||
| * [pycodestyle](https://github.com/PyCQA/pycodestyle) - (formerly `pep8`) check Python code against some of the style conventions in PEP 8 | ||
| * [pydocstyle](https://github.com/PyCQA/pydocstyle) - check compliance with Python docstring conventions | ||
| * [pyflakes](https://github.com/pyflakes/pyflakes/) - check Python source files for errors | ||
| * [pylint](https://github.com/PyCQA/pylint) - looks for programming errors, helps enforcing a coding standard and sniffs for some code smells. It additionally includes `pyreverse` (an UML diagram generator) and `symilar` (a similarities checker). | ||
| * [pyre-check](https://github.com/facebook/pyre-check) - A fast, scalable type checker for large Python codebases | ||
| * [pyright](https://github.com/Microsoft/pyright) - Static type checker for Python, created to address gaps in existing tools like mypy. | ||
| * [pyroma](https://github.com/regebro/pyroma) - rate how well a Python project complies with the best practices of the Python packaging ecosystem, and list issues that could be improved | ||
| * [PyT - Python Taint](https://github.com/python-security/pyt) - A static analysis tool for detecting security vulnerabilities in Python web applications. | ||
| * [pytype](https://github.com/google/pytype) - A static type analyzer for Python code. | ||
| * [Review of Python Static Analysis Tools](https://www.codacy.com/blog/review-of-python-static-analysis-tools/) | ||
| * [Python Static Analysis Tools ](https://luminousmen.com/post/python-static-analysis-tools) | ||
| * See [awesome-static-analysis for Python](https://github.com/mre/awesome-static-analysis/blob/master/README.md#python) | ||
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| ### Python wrappers | ||
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| * [ciocheck](https://github.com/ContinuumIO/ciocheck) - linter, formatter and test suite helper. As a linter, it is a wrapper around `pep8`, `pydocstyle`, `flake8`, and `pylint`. | ||
| * [flake8](https://github.com/PyCQA/flake8) - a wrapper around `pyflakes`, `pycodestyle` and `mccabe` | ||
| * [multilint](https://github.com/adamchainz/multilint) - a wrapper around `flake8`, `isort` and `modernize` | ||
| * [prospector](https://github.com/PyCQA/prospector) - a wrapper around `pylint`, `pep8`, `mccabe` and others | ||
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| ## Best practices | ||
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| - [PEP 8 -- Style Guide for Python Code](https://www.python.org/dev/peps/pep-0008/) | ||
| - [Python Best Practices and Tips by Toptal Developers](https://www.toptal.com/python/tips-and-practices) | ||
| - [Python Best Practices for More Pythonic Code](https://realpython.com/tutorials/best-practices/) | ||
| - [Python String Formatting Best Practices](https://realpython.com/python-string-formatting/) | ||
| - [The Best of the Best Practices (BOBP) Guide for Python](https://gist.github.com/sloria/7001839) | ||
| - [Dmitry Mugtasimov's Python software development practices](https://dmugtasimov-tech.blogspot.com/2016/12/my-python-software-development-practices.html) | ||
| - [Pluralsight: Python Best Practices for Code Quality](https://www.pluralsight.com/courses/python-best-practices-code-quality) | ||
| - [SO: Python coding standards/best practices](https://stackoverflow.com/questions/356161/python-coding-standards-best-practices) | ||
| - [Python Best Practices: 5 Tips For Better Code - Airbrake Blog](https://airbrake.io/blog/python/python-best-practices) | ||
| - [Python tutorial: Best practices and common mistakes to avoid](https://jaxenter.com/python-tutorial-best-practices-145959.html) | ||
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| ## Testing | ||
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| - [Python Developer's Guide » Running & Writing Tests](https://devguide.python.org/runtests/) | ||
| - [Hitchhickers Guide to Python: Testing Your Code](https://docs.python-guide.org/writing/tests/) | ||
| - [SO: Writing unit tests in Python: How do I start?](https://stackoverflow.com/questions/3371255/writing-unit-tests-in-python-how-do-i-start) | ||
| - [Testing Python Applications with Pytest](https://semaphoreci.com/community/tutorials/testing-python-applications-with-pytest) | ||
| - [An Introduction to Mocking in Python](https://www.toptal.com/python/an-introduction-to-mocking-in-python) | ||
| - [PyCharm: Testing Your First Python Application](https://www.jetbrains.com/help/pycharm/testing-your-first-python-application.html) | ||
| - [Udemy Course: Automated Software Testing with Python](https://www.udemy.com/automated-software-testing-with-python/) | ||
| - [unittest — Unit testing framework](https://docs.python.org/2/library/unittest.html) | ||
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| ## Refactoring | ||
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| - [PyCharm: Refactoring code](https://www.jetbrains.com/help/pycharm/refactoring-source-code.html) | ||
| - [PyCharm refactoring tip](https://stackoverflow.com/questions/47978893/pycharm-is-this-kind-of-automatic-signature-refactoring-possible) | ||
| - [PyCharm Refactoring Tutorial](https://www.jetbrains.com/help/pycharm/product-refactoring-tutorial.html) | ||
| - [Learning Python with PyCharm: Refactoring](https://www.lynda.com/Python-tutorials/Refactoring/590828/629432-4.html) | ||
| - [What refactoring tools do you use for Python?](https://stackoverflow.com/questions/28796/what-refactoring-tools-do-you-use-for-python) | ||
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| ## Performance | ||
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| - [Python High Performance - Second Edition](https://github.com/PacktPublishing/Python-High-Performance-Second-Edition) | ||
| - [Python and performance](https://github.com/ameroueh/performance) | ||
| - [NumPy aware dynamic Python compiler using LLVM ](https://github.com/ameroueh/numba) | [Numba](http://numba.pydata.org/) |
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