A clean Python workspace that boots straight into VS Code. The starter is a single main.py that prints to the console, so you've got a blank canvas for scripts, automation, data work or learning the language.
The project opens on main.py with a tiny example. Run python main.py in the terminal and you'll see the output right away.
The full cloud editor with an integrated terminal, extensions and a debug config in the .vscode folder, so F5 just works.
Install any package from the terminal with pip. Add a requirements.txt when your project grows and keep your dependencies pinned.
Clone, commit and push from the terminal, or connect a GitHub repo whenever you're ready.
Python is a general-purpose programming language known for readable syntax and a huge ecosystem of libraries. It's used for web backends, scripting and automation, data analysis, and machine learning, which makes it a common first language and a daily tool for a lot of engineers.
This template gives you a plain Python environment, not a framework. You get the editor, a terminal and pip, with a single main.py to start from. Whatever you want to build, you bring in the libraries you need and go.
The starter is one file, main.py, with a main() function that prints "Hello, World!". There's a .vscode folder with a debug configuration already set up, so pressing F5 runs your code in debug mode with breakpoints.
Nothing else is assumed. Add files, create a package, or pull in libraries with pip as your project takes shape. A requirements.txt is the usual way to track what you've installed.
Open the terminal from View then Terminal and run python main.py. The output prints in the terminal. To debug instead, press F5 and use the breakpoints and step controls in VS Code. This is a console workspace, so there's no web preview unless you install a framework that serves one.
Command-line tools, scraping and automation scripts, data crunching with pandas or numpy, small ML experiments, or just a place to learn Python without setting anything up locally. If you later want a web app, the Flask, Django and FastAPI templates are a better starting point.
Open the terminal and run python main.py, or press F5 to run it in debug mode with breakpoints. The starter prints to the console, so you'll see the result in the terminal.
Use pip from the terminal, for example pip install requests. To keep your dependencies tracked, list them in a requirements.txt and install with pip install -r requirements.txt.
No. This is a console workspace, so output goes to the terminal. If you want a web app you can view in a browser, start from the Flask, Django, FastAPI or Streamlit templates instead.
Yes. Install them with pip and import them in your code. The environment is a standard Python setup, so the usual data and ML libraries work the same as on your own machine.
Yes. The .vscode folder ships a debug config, so pressing F5 launches your program with the VS Code debugger, where you can set breakpoints and step through the code.
Yes. Python runs on the free tier, so you can launch a workspace and start writing code without a paid plan.
