Python Clean Coding [Video]

More Information
Learn
  • Practical examples and case studies to demonstrate effective coding
  • Set up a programming environment that encourages beautiful code
  • How to take full advantage of Python features to make your code elegant
  • Master available tools and modules to improve the cleanliness of your Python code
  • General stylistic guidelines to make your code readable, maintainable, and extendable
  • How to program in different stylistic paradigms for maximum code cleanliness depending on the application
  • How to identify and rewrite bad code
About

Even bad code can function. But if code isn't clean, it can bring a development organization to its knees. Every year, countless hours and significant resources are lost because of poorly written code. But it doesn't have to be that way.

Peter Fisher will teach you Python features that are applicable to writing clean code. First, we will talk about the pros and cons that confront the programmer when trying to write clean Python code. Then, we will explore the structure of a Python program and highlight features that will help us clean up and simplify our code. We will explore some good editors with built-in code analysis and linters to help guide you. We will also talk about some very helpful modules that will keep your code clean and prevent you from reinventing the wheel. Then, we will discuss some general code cleaning guidelines that aren’t exclusively applicable to Python, including naming conventions and programming styles.

Finally, we will apply what we’ve learned in the previous videos to rewriting and reorganizing real-world Python programs into clean and beautiful code that can be more easily understood, debugged, and extended.

The Github Link to this video course is: https://github.com/PacktPublishing/Writing-Clean-Python-Code

Features
  • Make your organization more effective with efficient and clean coding practices
  • Identify good code and bad code, and learn to convert bad code into good
  • Detailed examples of Python features that will enable you to write descriptive, elegant code
Course Length 2 hours 8 minutes
ISBN 9781788831079
Date Of Publication 3 Jul 2019