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via Udemy |
Go to Course: https://www.udemy.com/course/python-coding-guidelines-tooling-testing-and-packaging/
Certainly! Here's a comprehensive review and recommendation for the Coursera course on Python coding best practices and tools: --- **Course Review: Mastering Python Coding Standards and Tools** This Coursera course offers an in-depth exploration of best practices for Python programming, making it an excellent resource for both beginners and experienced developers looking to elevate their coding standards. The course is well-structured, covering essential topics that are crucial for writing clean, efficient, and maintainable Python code. **Course Content & Coverage** The course starts with essential setup instructions, including installing Python via Anaconda or other sources, ensuring accessibility for all learners. It then delves into coding guidelines, emphasizing PEP8, the widely accepted Python style guide, along with practical tools like Pylint, Flake8, Autopep8, Black, and Pydocstyle for code formatting and linting. One of the key strengths is the focus on documentation. You will learn about different docstring styles such as Sphinx, Numpy, and Google, which are vital for creating understandable and well-documented codebases. Incorporating type annotations and utilizing static type checkers like MyPy further enhances code quality by catching errors early. Practical skills are a significant part of this course, including debugging, profiling, and timing techniques to optimize performance. The course also emphasizes Test-Driven Development (TDD), ensuring students gain confidence in writing reliable tests for their code. Advanced topics covered include creating Python packages for distribution on PyPi, developing modern HTML documentation with MkDocs, and integrating continuous integration tools like GitHub Actions for automated testing and documentation workflows. **Strengths** - Comprehensive coverage of coding standards, tools, and best practices. - Practical exercises and real-world applications. - Focus on documentation, testing, and packaging, which are crucial for professional development. - Suitable for learners intent on advancing their Python expertise and adopting industry standards. **Recommendations** This course is highly recommended for developers seeking to improve their coding discipline, learn to use critical tooling effectively, and package their work professionally. Whether you're aiming for career growth, open-source contributions, or simply writing better code, this course provides valuable skills. **Final Thoughts** Joining this course will significantly benefit your Python programming journey. You'll gain practical skills that are immediately applicable in professional settings, making you more efficient, effective, and prepared for collaborative projects. Enroll today and step ahead in your Python career! --- Feel free to let me know if you'd like a shorter summary or specific focus on certain aspects!
Course description:In this course, you will explore coding guidelines and best practices, such as PEP8, as well as using popular Python tools like Pylint, Flake8, Autopep8, Black, and Pydocstyle. Additionally, you will learn about different docstring styles, such as Sphinx, Numpy, and Google, as well as using type annotations and the static type checker, MyPy. You will also gain practical experience in debugging, profiling, timing, and unit testing (TDD). Furthermore, you will learn how to create your own Python packages, modern HTML documentation using MkDocs and Google documentation strings, and how to use continuous integration tools like GitHub Actions for testing and code documentation.The Course covers the following Topics:Installing and setting up the softwareThe coding guidelines and good practice programming (PEP8) The usage of Pylint, Flake8, Autopep8, Black and PydocstyleDifferent docstring styles for your code (sphinx, numpy and google)The usage of type annotations and the static type checker MyPyThe usage of debugging, profiling, execution time measuring (timing) and unit testing (TDD)The creation of own Python packages that can be uploaded to PyPiThe creation of a modern HTML documentation with mkdocs and google documenation strings The usage of continouos integration tools (Github actions for testing and codedoc)Step ahead in your Python career and join this course!I hope will see you there!Note:In the course, Python is installed via Anaconda. If this is not possible for you, you can also install Python from other sources.