During the course of this tutorial, you learned how to create a Python project, create a virtual environment, run and debug your Python code, and install Python packages.

You can create a new Python file by selecting New File on the VS Code Welcome page and then selecting Python file, or by navigating to File > New File (). Tip: If you already have a …

To create local environments in VS Code using virtual environments or Anaconda, you can follow these steps: open the Command Palette (⇧⌘P (Windows, Linux Ctrl+Shift+P)), search for the …

You can create a Jupyter Notebook by running the Create: New Jupyter Notebook command from the Command Palette (⇧⌘P (Windows, Linux Ctrl+Shift+P)) or by creating a new .ipynb file in …

Working with Python in Visual Studio Code, using the Microsoft Python extension, is simple, fun, and productive. The extension makes VS Code an excellent Python editor, and works on any …

When you've activated an environment with Jupyter installed, you can open a Jupyter notebook file (.ipynb) in VS Code and then convert it to Python code. Once you've converted the file, you …

In VS Code, create a new file in your project folder named app.py using either File > New from the menu, pressing Ctrl+N, or using the new file icon in the Explorer View (shown below).

What is a VS Code workspace? A Visual Studio Code workspace is the collection of one or more folders that are opened in a VS Code window (instance). In most cases, you will have a single …

Two common options are to use the Python File configuration to run the currently open Python file or to use the Attach using Process ID configuration to attach the debugger to a process that is …

In this document, we'll go through the steps for creating a development (dev) container in VS Code: Create a devcontainer.json, which describes how VS Code should start the container …