Write More Pythonic Code
Learning Path ⋅ Skills: Best Practices, Writing Idiomatic Python
With this learning path you’ll get a guided tour through Python’s most valuable best practices so you can write clean, readable, and Pythonic code.
Write More Pythonic Code
Learning Path ⋅ 13 Resources
Writing Comments in Python
Learn how to write Python comments that are clean, concise, and useful. Quickly get up to speed on what the best practices are, which types of comments it's best to avoid, and how you can practice writing cleaner comments.
Writing Beautiful Pythonic Code With PEP 8
Learn how to write high-quality, readable code by using the Python style guidelines laid out in PEP 8. This course outlines the key guidelines laid out in PEP 8. It's aimed at beginner to intermediate programmers.
How to Write Pythonic Loops
Make your loops more Pythonic and learn how you can get the most out of using range(), xrange(), and enumerate(). You'll also see how you can avoid having to keep track of loop indexes manually.
Using List Comprehensions Effectively
This short course breaks down Python list comprehensions for you step by step. See how Python's comprehensions can be transformed from and to equivalent "for"-loops so you'll know exactly what's going on behind the scenes.
How to Use Python Lambda Functions
In this step-by-step course, you'll learn about Python lambda functions. You'll see how they compare with regular functions and how you can use them in accordance with best practices.
Idiomatic Python 101
Python Idioms for people coming from other languages and how to improve your idiomatic practices with Python. We will cover things to do with string concatenation, dictionary look ups, dealing with Python scripts and encoding.
Python 3's f-Strings: An Improved String Formatting Syntax
As of Python 3.6, f-strings are a great new way to format strings. Not only are they more readable, more concise, and less prone to error than other ways of formatting, but they are also faster! By the end of this course, you'll know how and why to s
Documenting Python Code: A Complete Guide
A complete guide to documenting Python code. Whether you're documenting a small script or a large project, whether you're a beginner or seasoned Pythonista, this guide will cover everything you need to know.
Refactoring Python Applications for Simplicity
In this step-by-step tutorial, you'll learn how to refactor your Python application to be simpler and more maintainable and have fewer bugs. You'll cover code metrics, refactoring tools, and common anti-patterns.
Python Application Layouts: A Reference
A reference guide to common Python application layouts and project structures for command-line applications, web applications, and more.
How to Stand Out in a Python Coding Interview
In this step-by-step tutorial, you'll learn how to take your Python coding interview skills to the next level and use Python's built-in functions and modules to solve problems faster and more easily.
Python Code Quality: Tools & Best Practices
See how to improve the quality of your Python code. We'll analyze and compare tools you can use to take your code to the next level and make it more Pythonic.
Writing Cleaner Python Code With PyLint
In this course you'll see how to install and set up the PyLint code linter tool. You'll learn why you should use code linters like PyLint, Flake8, PyFlakes, or other static analysis tools.