![]() ![]() With these settings, VS Code will now use the manually-selected interpreter. Choose the desired Python interpreter from the list.Type “ Python: Select Interpreter” in the Command Palette and press “Enter.”.Press Ctrl + Shift + P (or Cmd + Shift + P on macOS) to open the Command Palette.However, you might need to change the interpreter if you work with multiple Python versions or run virtual environments. ![]() VS Code automatically detects and selects the Python interpreter if it exists on your system. You’ll have the chance to inspect variables, view the call stack, and execute commands in the Debug Console. The debugger will stop at the breakpoint. ![]() Choose “Python File” as the debug configuration.Press F5 or click on the green “Run and Debug” button.Click on the Debug icon in the Activity Bar on the side of the window.Click on the left margin next to the line number where you want to add a breakpoint (e.g., next to the print statement).Let’s go through the steps for debugging Python within VS Code. Click the “Install” button to add the extension to VS Code.Īfter following these steps, you’ll have the following prerequisites for Python coding:ĭebugging is an inextricable part of the coding process, so you’ll want to have Python’s debugging capabilities ready as soon as you start coding.Find the Python extension by Microsoft on the Marketplace.Search for “Python” in the Extensions view search bar.Click on the “Extensions” icon in the Activity Bar.Here are the further steps for setting the extension up in the IDE: ![]() To properly use the Python environment in VS Code, you also have to install the Python extension. Installing the Python Extension in VS Code To learn more about using WSL with VS Code, refer to the VS Code Remote Development documentation or the Working in WSL tutorial.Īfter you complete these steps successfully, python libraries will be installed on your system, and you’ll be ready to write code. Opting for WSL also involves installing the correlating extension. Anaconda comes with a Python interpreter and a multitude of specialized libraries and tools for data science.įor Windows users who want a Linux environment to work with Python, the Windows Subsystem for Linux (WSL) is another viable option. If data science is your main reason for using Python, consider downloading Anaconda and getting Python through it.
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