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

# Problem statement

Let’s pretend that it takes the `foobar(some_big_data)` function a very long time to calculate the results, and the results are always the same. Call the function only if it hasn’t been called before and pickle the results for the future!

# Task
Verify that the pickled file, `cache.p`, exists by trying to open it and initialize a variable with its content. If the file doesn’t exist, call the function, `foobar()`, calculate the result, pickle it as `cache.p`, and assign it to the same variable.

> **Note:** Your code will be slow when you run it for the first time. It’ll run much faster after that.


Perform an expensive calculation and save its results.

Introduction

Documentation Tips

General Tips

Data Types and Data Structures Tips

Function Tips

Performance Tips

Safety Tips

Wrapping Up

Exercise 2: Pickling Data

Problem statement