Perfect Your Python Development Setup

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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.

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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.

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Learn how to set up Visual Studio Code for Python development. By following examples, you'll cover everything from installing and configuring VSCode, to running tests and debugging Python apps.

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In this course, you’ll learn all about Thonny, a free Python Integrated Development Environment (IDE) that was especially designed with the beginner Pythonista in mind. It has a built-in debugger and allows you to do step-through expression evaluation.

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Learn about bpython, an alternative Python REPL that brings code suggestions and many other IDE-like features to the terminal. Once you discover how much bpython can improve your productivity, you'll never want to return to using the vanilla Python REPL again.

Tutorial

IPython is a powerful tool that can prove useful on your journey to mastering Python. Its friendly interface will enable you to comfortably take control of your learning. In this tutorial, you'll cover the basic concepts of using IPython and learn how its features can make coding efficient.

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Learn how to get started with the Jupyter Notebook, an open source web application that you can use to create and share documents that contain live code, equations, visualizations, and text.

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This article details how to set up Sublime Text for full stack Python development.

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Learn how you can use PyCharm to be a more productive Python developer. PyCharm makes debugging and visualization easy so you can focus on business logic and just get the job done.

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Learn about using Emacs for Python development. You'll install and configure Emacs on your selected platform, then write Python code to explore its capabilities. Finally, you'll run, test, and debug Python code in the Emacs environment.

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This article details how to set up a powerful VIM environment for Python development.

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The font that you use is an important piece in your tool kit as a programmer. After all, you look at your programming font the whole time when writing code. In this tutorial, you'll find your perfect font for coding.

Tutorial

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

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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.

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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.

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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.

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Learn how to install multiple Python versions and switch between them with ease, including project-specific virtual environments, with pyenv.

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Pipenv is a packaging tool for Python that solves some common problems associated with the typical workflow using pip, virtualenv, and requirements.txt. In this course, you'll go over what problems Pipenv solves and how to manage your Python dependencies with it.

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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.

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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.

Tutorial

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.

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