The text below is selected, press Ctrl+C to copy to your clipboard. (⌘+C on Mac) No line numbers will be copied.
Guest
Python: 10 best practices for python developers on Github and CICD
By Guest on 15th December 2022 02:58:33 AM | Syntax: PYTHON | Views: 224



New Paste New paste | Download Paste Download | Toggle Line Numbers Show/Hide line no. | Copy Paste Copy text to clipboard
  1. Use version control: GitHub is a popular platform for version control using Git. This allows developers to track changes to their codebase and collaborate with others on their projects.
  2.  
  3. Follow a coding style guide: Consistency in code style can make a codebase more readable and maintainable. Python has a popular style guide called PEP 8 that many developers follow.
  4.  
  5. Write unit tests: Unit tests are small, isolated tests that check the functionality of individual components of your code. Writing unit tests can help ensure that your code is correct and maintainable.
  6.  
  7. https://www.youtube.com/watch?v=ABaPWYF_Tl8
  8.  
  9. Use a linter: A linter is a tool that checks your code for common errors and style violations. Using a linter can help you catch mistakes early on and ensure that your code follows the style guide.
  10.  
  11. Write documentation: Well-written documentation can make your code easier to understand and use for others. In Python, documentation is typically written using docstrings, which are strings that appear at the beginning of a module, class, or function.
  12.  
  13. Use a continuous integration (CI) service: CI is a software development practice where developers regularly integrate their code changes into a shared codebase. This can help catch errors early on and ensure that the codebase remains stable. GitHub offers a CI service called GitHub Actions that can be used with Python projects.
  14.  
  15. https://www.youtube.com/watch?v=U1JjL_IcaqE
  16.  
  17. Follow best practices for security: Security is an important consideration for any software project. Some best practices for Python developers include using secure libraries and frameworks, avoiding insecure dependencies, and following the principle of least privilege.
  18.  
  19. Consider performance: Performance is an important aspect of software development, and can impact the user experience and the scalability of a project. Python developers can consider performance when designing algorithms, choosing data structures, and writing efficient code.
  20.  
  21. Use a package manager: A package manager is a tool that helps manage the dependencies and libraries used by a project. In Python, the most popular package manager is pip. Using a package manager can help ensure that you have the correct versions of dependencies installed and make it easier to share your project with others.
  22.  
  23. Collaborate with others: Collaborating with others on GitHub can be a great way to learn new skills, share knowledge, and build a community around your project. Some best practices for collaborating on GitHub include using branches and pull requests, writing clear and concise commit messages, and communicating with others in a respectful and constructive manner.
















Python software and documentation are licensed under the PSF License Agreement.
Starting with Python 3.8.6, examples, recipes, and other code in the documentation are dual licensed under the PSF License Agreement and the Zero-Clause BSD license.
Some software incorporated into Python is under different licenses. The licenses are listed with code falling under that license. See Licenses and Acknowledgements for Incorporated Software for an incomplete list of these licenses.

Python and it's documentation is:
Copyright © 2001-2022 Python Software Foundation. All rights reserved.
Copyright © 2000 BeOpen.com. All rights reserved.
Copyright © 1995-2000 Corporation for National Research Initiatives. All rights reserved.
Copyright © 1991-1995 Stichting Mathematisch Centrum. All rights reserved.

See History and License for complete license and permissions information:
https://docs.python.org/3/license.html#psf-license
  • Recent Pastes