Gain insights into Pythonic programming techniques. Learn about documentation, data types, safety, performance, and function design to write fast, maintainable, and correct Python code.

python3.8.tar.gz

Python3.8

Python3.8Code

This course is an invaluable resource for anyone who wants to learn the correct Pythonian way of writing highly performant code that is easy to maintain and grow.

The course is divided into six chapters: documentation tips, data types/data structures tips, safety tips, performance tips, function design tips, and general tips. Throughout each chapter, you will get hands-on experience working with real Python code to help ingrain each concept.

By the end, you will know how to make your programs correct, safe, fast, and easy to maintain.

Pythonic Programming Tips for Software Engineers

## Embrace comprehensions
In addition to the well-known list comprehension, Python has many other comprehension expressions..
### Set comprehension
Set comprehension is enclosed in curly braces `{}` and acts almost like list comprehension, except that the result is a set with the duplicates removed. We could accomplish the same effect by applying `set()` to list comprehension, but set comprehension is considerably faster:

# Embrace comprehensions
In addition to the well-known list comprehension, Python has many other comprehension expressions..
## Set comprehension
Set comprehension is enclosed in curly braces `{}` and acts almost like list comprehension, except that the result is a set with the duplicates removed. We could accomplish the same effect by applying `set()` to list comprehension, but set comprehension is considerably faster:

Learn how loop enhancements can improve code efficiency.

Introduction

Documentation Tips

General Tips

Data Types and Data Structures Tips

Function Tips

Performance Tips

Safety Tips

Wrapping Up

Loop Related Tips

Embrace comprehensions

Set comprehension