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
This chapter explains how to write functions that `return` generators and multiple values. First, consider how to generate the two random values. Evaluate the conditions they represent for being harsh and choose accordingly: `return` or `yield`.

# Task
Write a function that returns a `"weather Oracle"`, similar to the fortune teller in the lesson `"yield,` [do not](https://www.educative.io/courses/pythonic-programming-tips-software-engineers/return-related-tips#Yield,-do-not-return) `return."` The Oracle returns a random integer temperature from -89°C to 57°C (not inclusive) and a random integer humidity in the range from zero to 100 (inclusive). The generator stops either after the pre-specified number of attempts or when the generated weather conditions are too harsh (when temperature < -40°C and humidity <= 50), whichever comes first.
 

Practice writing a fake weather prediction generator.

Introduction

Documentation Tips

General Tips

Data Types and Data Structures Tips

Function Tips

Performance Tips

Safety Tips

Wrapping Up

Exercise 4: Explore Generators

Problem statement