Perfect Your Python Development Setup

Learning PathSkills: Python Setup, Code Editors & IDEs, Running Apps

Python IDEs and Code Editors: The Complete Guide

Optimize your Python development setup with this learning path covering installing Python 3 correctly, choosing the right code editor for you, as well as tips for working with virtual environments and testing your Python apps.

Perfect Your Python Development Setup

Learning Path ⋅ 12 Resources

Introduction to Python 3

Course

Installing Python on Windows, macOS, and Linux

To get started working with Python, you'll need to have access to the Python interpreter. There are several common ways to accomplish this and in this course, you will learn how to install the latest version of Python on your computer.

Python IDEs and Code Editors: The Complete Guide

Course

Finding the Perfect Python Code Editor

Find your perfect Python development setup with this review of Python IDEs and code editors. Writing Python using IDLE or the Python REPL is great for simple things, but not ideal for larger programming projects. With this course you'll get an overview of the most common Python coding environments to help you make an informed decision.

An Effective Python Environment: Making Yourself at Home

Tutorial

An Effective Python Environment: Making Yourself at Home

This guide will walk you through the decisions you need to make when customizing your development environment for working with Python.

How to Run Your Python Scripts

Course

Running Python Scripts

This step-by-step course will guide you through a series of ways to run Python scripts, depending on your environment, platform, needs, and skills as a programmer.

What Is pip? A Guide for New Pythonistas

Course

A Beginner's Guide to Pip

What is pip? In this beginner-friendly course, you'll learn how to use pip, the standard package manager for Python, so that you can install and manage additional packages that are not part of the Python standard library.

Python Virtual Environments (venv)

Course

Working With Python Virtual Environments

This course demonstrates how Python's virtual environments work as a "sandbox" and you get a quick walkthrough on how to set up a new environment (or virtualenv, as they're called for short) and how to install third-party packages into it using the pip command.

Managing Multiple Python Versions With pyenv

Tutorial

Managing Multiple Python Versions With pyenv

Learn how to install multiple Python versions and switch between them with ease, including project-specific virtual environments, even if you don't have sudo access with pyenv.

A Guide to Pipenv, the new Python Packaging Tool

Tutorial

Pipenv: A Guide to the New Python Packaging Tool

Pipenv is a packaging tool for Python that solves some common problems associated with the typical workflow using pip, virtualenv, and the good old requirements.txt. This guide goes over what problems Pipenv solves and how to manage your Python dependencies with it.

Getting Started With Testing in Python

Course

Running Python Tests With PyTest

In this hands-on course, you’ll see how to create Python unit tests, execute them, and find the bugs before your users do. You’ll learn about the tools available to write and execute tests, check your application’s performance, and even look for security issues.

Git Tips for Python Developers

Course

Introduction to Git and GitHub for Python Developers

What is Git, what is GitHub, and what's the difference? Learn the basics of Git and GitHub from the perspective of a Pythonista in this step-by-step video course.

Run Python Versions in Docker: How to Try the Latest Python Release

Tutorial

Run Python Versions in Docker: How to Try the Latest Python Release

Learn how to run different Python versions in Docker. By following the examples, you'll see how you can play with the latest development version of Python, and how to use Dockerfiles to set up Python environments and package your own scripts.

Managing Python Dependencies Course

Course

Managing Python Dependencies

Get up to speed with Python dependency management quickly and go from “writing scripts” to “building applications” with this complete course.

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