Fundamentals 15 min read

Using Windows Terminal and Visual Studio Code for Python Development on Windows

This guide explains how to set up and use Microsoft’s Windows Terminal together with Visual Studio Code and its Python extension to write, run, debug, test, and manage Python projects on Windows, including installation, configuration, Git integration, and best‑practice workflows.

Python Programming Learning Circle
Python Programming Learning Circle
Python Programming Learning Circle
Using Windows Terminal and Visual Studio Code for Python Development on Windows

Developing Python on Windows can be streamlined by using Microsoft’s open‑source Windows Terminal and the lightweight, extensible editor Visual Studio Code (VS Code). The article introduces the Terminal’s multi‑tab support, custom styling, and seamless integration with PowerShell and Command Prompt, making it a viable alternative to Linux shells.

VS Code is highlighted as a cross‑platform, open‑source IDE that, with the official Python extension, provides IntelliSense, linting, debugging, testing, and environment management for Python 2.7 and 3.x. Installation steps for VS Code and the Python extension are described, along with tips for selecting the appropriate interpreter and configuring formatting tools such as black or yapf.

The tutorial walks through creating a new Python file, saving it with a .py extension to activate language features, and running the script directly from the editor’s context menu. It demonstrates debugging with breakpoints, variable inspection, and call‑stack navigation, as well as configuring launch.json for more complex projects.

Project‑level workflows are covered, including opening a folder, using virtual environments, running unit tests (unittest, pytest, Nose), and managing test configurations via .vscode/settings.json. Git integration is explained, showing how VS Code detects a .git folder and provides UI for staging, committing, pushing, pulling, branching, and resolving merge conflicts.

Additional extensions such as GitLens, Settings Sync, and Docker are recommended to enhance productivity. The article concludes by encouraging readers to adopt VS Code for Python development, citing its extensibility, debugging capabilities, and seamless GitHub workflow support.

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Python Programming Learning Circle
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Python Programming Learning Circle

A global community of Chinese Python developers offering technical articles, columns, original video tutorials, and problem sets. Topics include web full‑stack development, web scraping, data analysis, natural language processing, image processing, machine learning, automated testing, DevOps automation, and big data.

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