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If the installation was successful, the output window should show the version of Python that you installed. Windows: open a command prompt and run the following command: Linux/macOS: open a Terminal Window and type the following command: To verify that you've installed Python successfully on your machine, run one of the following commands (depending on your operating system):

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For more information about using WSL with VS Code, see VS Code Remote Development or try the Working in WSL tutorial, which will walk you through setting up WSL, installing Python, and creating a Hello World application running in WSL.

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If you choose this option, you'll also want to install the Remote - WSL extension. Windows Subsystem for Linux: If you are working on Windows and want a Linux environment for working with Python, the Windows Subsystem for Linux (WSL) is an option for you. Anaconda provides not just a Python interpreter, but many useful libraries and tools for data science.

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Other optionsДata Science: If your primary purpose for using Python is Data Science, then you might consider a download from Anaconda. The built-in Python 3 installation on Linux works well, but to install other Python packages you must install pip with get-pip.py. See these setup instructions for more information. Note On macOS, make sure the location of your VS Code installation is included in your PATH environment variable. To install Python using Homebrew on macOS use brew install python3 at the Terminal prompt. Instead, an installation through Homebrew is recommended. The system install of Python on macOS is not supported. Be aware that you might have compatibility issues with some packages using this method.ДЇor additional information about using Python on Windows, see Using Python on Windows at macOS The Microsoft Store provides installs of Python 3.7, Python 3.8, and Python 3.9. Note: If you don't have admin access, an additional option for installing Python on Windows is to use the Microsoft Store.

You can typically use the Download Python button that appears first on the page to download the latest version. Which interpreter you use is dependent on your specific needs, but some guidance is provided below. The Python extension is named Python and it's published by Microsoft.ДЄlong with the Python extension, you need to install a Python interpreter. For additional details on installing extensions, see Extension Marketplace. Next, install the Python extension for VS Code from the Visual Studio Marketplace. If you have not already done so, install VS Code. Select and activate an environment # By default, the Python extension looks for and uses the first Python interpreter it finds in the system path. Note: If you're looking to get started with Python in Visual Studio Code, refer to the tutorial Getting Started with Python in VS Code.The extension makes VS Code an excellent Python editor, and works on any operating system with a variety of Python interpreters. Python in Visual Studio Code Working with Python in Visual Studio Code, using the Microsoft Python extension, is simple, fun, and productive.

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Specifically, using passenger data from the Titanic, you will learn how to set up a data science environment, import and clean data, create a machine learning model for predicting.

This tutorial demonstrates using Visual Studio Code and the Microsoft Python extension with common data science libraries to explore a basic data science scenario.

Install Visual Studio Code and the Python Extension To successfully complete this tutorial, you need to first setup your Python development environment.

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If you have any problems, feel free to file an issue for this tutorial in the VS Code documentation repository. LetвЂ™s take a look at how it works with a larger project. Once you are familiar with the basics of VS Code, you can then follow any of the programming tutorials on within the context of VS Code for an introduction to the language.Д¬reate the initial Python code using the command code filename.py Using Visual Studio Code on a Python project (as opposed to a single Python file) opens up tons more functionality that lets VS Code truly shine. This tutorial is not intended to teach you Python itself.

Write a simple Python script to plot figures within VS Code.

Learn how to install packages by creating Python virtual environments.Write, run, and debug a Python 'Hello World' Application.This tutorial introduces you to VS Code as a Python environment, primarily how to edit, run, and debug code through the following tasks: By using the Python extension, you make VS Code into a great lightweight Python IDE (which you may find a productive alternative to Pењњharm). In this tutorial, you use Python 3 to create the simplest Python 'Hello World' application in Visual Studio Code.