Python: Coding Guidelines, Tools, Tests and Packages [2024]

Python: Coding Guidelines, Tools, Tests and Packages [2024] - Step ahead in your Python career and learn about PEP8, Unit-Testing (TDD), Type Annotations and Python Packaging.

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What you'll learn

• The Coding guidelines and good practice programming (PEP8)
• Tooling with Pylint, Flake8, Autopep8, Black etc.
• Type Annotations and Mypy
• The usage of Debugging, Profiling, Timing and Unit Testing
• The creation of own Python packages
• The creation of a modern HTML documentation
• The usage of continouos integration tools

Description

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 software

The coding guidelines and good practice programming (PEP8)  

The usage of Pylint, Flake8, Autopep8, Black and Pydocstyle

Different docstring styles for your code (sphinx, numpy and google)

The usage of type annotations and the static type checker MyPy

The usage of debugging, profiling, execution time measuring (timing) and unit testing (TDD)

The creation of own Python packages that can be uploaded to PyPi

The 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!

Who this course is for:

• (Junior) Python developer who want to master the language