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Python: Coding Guidelines, Tools, Tests and Packages [2024]
Rating: 4.6 out of 5(712 ratings)
5,728 students

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.
Created byJan Schaffranek
Last updated 12/2023
English

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

Course content

5 sections60 lectures5h 14m total length
  • Introduction to the course1:50
  • Course manual1:07
  • Note: Materials and Software0:12
  • Setup the Python Environment2:17
  • Setup Visual Studio Code5:09

Requirements

  • Be able to work with your operating system and the terminal
  • You should know the Python basics (Variables, Functions, Classes etc.)

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!


Note:

In the course, Python is installed via Anaconda. If this is not possible for you, you can also install Python from other sources.

Who this course is for:

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