For a quick install, use Python from python.org and install the extension from the VS Code Marketplace. Note: To help get you started with Python development, you can use the Python …

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.

A quick start guide to get you up and coding with the Python extension in Visual Studio Code.

We recommend you install a Python interpreter into your conda environment, otherwise one will be installed for you after you select the environment. For example, the following command …

With WSL, you can install and run Linux distributions on Windows to develop and test your source code on Linux, while still working locally on your Windows machine.

In this section, we will create a folder to open as a workspace in VS Code, set up a Python virtual environment, and install the project's dependencies. In your file system, create a project folder …

If you do not have any Jupyter kernel or Python environment on your machine, VS Code can help you set up: go to the Command Palette (⇧⌘P (Windows, Linux Ctrl+Shift+P)), select Python: …

Visual Studio Code is free and available on your favorite platform - Linux, macOS, and Windows. Download Visual Studio Code to experience a redefined code editor, optimized for building …

If you're interested in learning how to create a Python container for the Flask app developed in this tutorial, check out the Python in a container tutorial, which will walk you through how to:

Once the appropriate environment is activated, you can create and open a Jupyter Notebook, connect to a remote Jupyter server for running code cells, and export a Jupyter Notebook as a …