Chuyển tới nội dung
Home » Visual Studio Code Python Extension Download | What’S Changed

Visual Studio Code Python Extension Download | What’S Changed

How to setup Python for VSCode in 2023 in 5mins! | Install Python and Setup VSCode for Windows 10

What’s Changed

Enhancements

  • Add support to delete and re-create .conda environments by @karthiknadig in #21977
  • Open requirement files by @karthiknadig in #21917
  • Changed order of options in Create Environment flow when .venv exist by @annaburlyaeva in #22055
  • Show a prompt asking users if they want to create environment by @karthiknadig in #22071

Bug Fixes

  • Fix unittest subtest names that have spaces by @eleanorjboyd in #21947
  • Incorrect print included for absolute path calculations by @eleanorjboyd in #21932
  • Handle subprocess segfaults for testAdapters by @eleanorjboyd in #21963
  • Fix

    ${command:python.interpreterPath}

    in tasks.json in multiroot workspaces by @karrtikr in #21980
  • Use stdin if workspace has large number of requirements by @karthiknadig in #21988
  • Do not upper case custom env variables by @karrtikr in #22004
  • pytest complicated parameterize test parsing by @eleanorjboyd in #22001
  • Support EOT for testing by @eleanorjboyd in #21876
  • switch | to unions to be 3.8 compatible by @eleanorjboyd in #22025
  • Add python 3.8 and 3x specific runs by @karthiknadig in #22023
  • Fix duplicate environments showing up on macOS by @karrtikr in #22030
  • Handle exceptions during test discovery by @eleanorjboyd in #22026
  • Update language to encourage reading “Migration to Python Tools Extensions” by @Spitfire1900 in #22019
  • Make sure

    PATH

    ends with a separator before prepending by @karrtikr in #22046
  • Fix bugs related to discovery blocking other features by @karrtikr in #22041
  • Respect

    VIRTUAL_ENV_DISABLE_PROMPT

    when activating virtual envs by @karrtikr in #22053
  • Respect conda changeps1 config when setting PS1 by @karrtikr in #22054
  • Add await for stdout by @eleanorjboyd in #22049
  • Explicitly continue execution after timeout on launching conda binary is reached by @karrtikr in #22072
  • Calculate PS1 instead of using PS1 returned by shell by @karrtikr in #22078
  • Fix progress indicator when reactivating terminals by @karrtikr in #22082
  • Ensure we don’t show version selection when user selects useExisting by @karthiknadig in #22099
  • Fix regex split for subtest names by @eleanorjboyd in #22107
  • Ignore payload key-value if value is empty by @eleanorjboyd in #22105
  • Fire active environment change event if active environment is deleted by @karrtikr in #22113

Code Health

  • Remove old linter and formatter prompts and commands by @karthiknadig in #21979
  • Remove activation triggers that are handled automatically by @karthiknadig in #21918
  • Update telemetry package by @luabud in #21914
  • Catch errors when looking up python binaries in a PATH by @karrtikr in #21948
  • Update Python extension API version by @karrtikr in #21953
  • Added git settings for branch name suggestion, protection, pull, and mergeEditor by @anthonykim1 in #21954
  • Do not assume casing of activated environment variables Python returns by @karrtikr in #21970
  • Drop Python 3.7 support by @anthonykim1 in #21962
  • Clear environment collection only after all async operations are done by @karrtikr in #21975
  • Remove envShellEvent proposal usage by @Tyriar in #21997
  • Remove repo labels corresponding to removing unrecognized label workflow by @karrtikr in #22022
  • Remove sort imports from command palette and context menu by @ludizhan in #22058
  • Pytest to pytest by @himi11 in #22062
  • Bump jedi-language-server and jedi by @PeterJCLaw in #22069
  • Switch to verbose for raw data logs by @eleanorjboyd in #22110
  • Align env type capitalization with tool recommendation by @Tyriar in #22103
  • Check existence of value in header before trim process json rpc by @eleanorjboyd in #22116

Requirements

  1. VS Code 1.64.0 or greater
  2. Python 3.7 or greater
  3. node >= 14.19.0
  4. npm >= 8.3.0 (

    npm

    is installed with node, check npm version, use

    npm install -g [email protected]

    to update)
  5. Python extension for VS Code

You should know how to create and work with Python virtual environments.

How to setup Python for VSCode in 2023 in 5mins! | Install Python and Setup VSCode for Windows 10
How to setup Python for VSCode in 2023 in 5mins! | Install Python and Setup VSCode for Windows 10

Installed extensions

The Python extension will automatically install the following extensions by default to provide the best Python development experience in VS Code:

  • Pylance – to provide performant Python language support
  • Python Debugger – to provide a seamless debug experience with debugpy

These extensions are optional dependencies, meaning the Python extension will remain fully functional if they fail to be installed. Any or all of these extensions can be disabled or uninstalled at the expense of some features. Extensions installed through the marketplace are subject to the Marketplace Terms of Use.

Intro to CS at Harvey Mudd College

Professor Zachary Dodds is a Computer Science professor at Harvey Mudd College who teaches several introductory classes both for students new to Computer Science and students from a non-Computer Science background. He co-created the popular introduction to Computer Science class CS5, which attracts students from all backgrounds to develop programming and problem-solving skills and to build “a coherent, intellectually compelling picture of Computer Science”. The class is taught with Python and uses VS Code as the recommended editor.

Why Visual Studio Code?

Professor Dodds has been recommending and using Visual Studio Code in his classes since it debuted in 2015.

“Visual Studio Code is the best balance of authenticity and accessibility… Visual Studio Code doesn’t feel ‘fake’, it’s what real software developers use. Plus, Visual Studio Code works on every OS!”

VS Code runs on Windows, macOS, Linux, and even Chromebooks.

Classroom settings

Since VS Code is easy to customize, Professor Dodds is able to tailor the editor for his students, preferring to hide IntelliSense, or code completion suggestions, so they can learn from what they type and reinforce the conceptual models being built.

Here are the settings his students use:


"editor.quickSuggestions": false, "editor.acceptSuggestionOnCommitCharacter": false, "editor.suggest.filterGraceful": true, "editor.suggestOnTriggerCharacters": false, "editor.acceptSuggestionOnEnter": "on", "editor.suggest.showIcons": false, "editor.suggest.maxVisibleSuggestions": 7, "editor.hover.enabled": false, "editor.hover.sticky": false, "editor.suggest.snippetsPreventQuickSuggestions": false, "editor.parameterHints.enabled": false, "editor.wordBasedSuggestions": "matchingDocuments", "editor.tabCompletion": "on", "extensions.ignoreRecommendations": true, "files.autoSave": "afterDelay",

You can find the most up-to-date settings on his course website: CS5 – Python Tips.

Integrated Terminal

Professor Dodds also utilizes the built-in terminal heavily in his class as an introduction to running programs from the command line and navigating around their machine all within Visual Studio Code. He appreciates how “the built-in terminal panel does not try to automate too much (which, if it did, would deprive newcomers of the experience of the information-flow that’s going on).”

In the video below, the student does all of their command line and coding work in one place, such as installing Python libraries, while working on Lab 3 from the CS5 class:

Thank you, Professor Dodds, for sharing your story! If you’re interested in using VS Code to teach Python in your classes, you can get started with the Python Education Extension Pack below!

How to set up Python on Visual Studio Code
How to set up Python on Visual Studio Code

Install a Python interpreter

Along with the Python extension, you need to install a Python interpreter. Which interpreter you use is dependent on your specific needs, but some guidance is provided below.

Windows

Install Python from python.org. Use the Download Python button that appears first on the page to download the latest version.

Note: If you don’t have admin access, an additional option for installing Python on Windows is to use the Microsoft Store. The Microsoft Store provides installs of supported Python versions.

For additional information about using Python on Windows, see Using Python on Windows at Python.org

macOS

The system install of Python on macOS is not supported. Instead, a package management system like Homebrew is recommended. To install Python using Homebrew on macOS use

brew install python3

at the Terminal prompt.

Note: On macOS, make sure the location of your VS Code installation is included in your PATH environment variable. See these setup instructions for more information.

Linux

The built-in Python 3 installation on Linux works well, but to install other Python packages you must install

pip

with get-pip.py.

Other options

  • Data Science: If your primary purpose for using Python is Data Science, then you might consider a download from Anaconda. Anaconda provides not just a Python interpreter, but many useful libraries and tools for data science.

  • 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. If you choose this option, you’ll also want to install the WSL extension. 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.

Note: To verify that you’ve installed Python successfully on your machine, run one of the following commands (depending on your operating system):

Linux/macOS: open a Terminal Window and type the following command:


python3 --version

Windows: open a command prompt and run the following command:


py -3 --version

If the installation was successful, the output window should show the version of Python that you installed. Alternatively, you can use the


py -0

command in the VS Code integrated terminal to view the versions of python installed on your machine. The default interpreter is identified by an asterisk (*).

What’s Changed

Enhancements

  • Add setting to control severity of missing package diagnostic by @karthiknadig in #21794
  • Support for Create Env command to re-create env for venv by @karthiknadig in #21829
  • Apply custom env variables to terminal when in

    pythonTerminalEnvVarActivation

    experiment by @karrtikr in #21879
  • Also show interpreter in status bar when a Python related output channel is opened by @karrtikr in #21894

Bug Fixes

  • Make test_ids relative to workspace path not root dir by @eleanorjboyd in #21682
  • Fix UUID and disposing by @eleanorjboyd in #21667
  • add cwd for debugging by @eleanorjboyd in #21668
  • update tests only on save with more files excluded by @eleanorjboyd in #21741
  • revert absolute test-ids by @eleanorjboyd in #21742
  • Improvements to

    pythonTerminalEnvVarActivation

    experiment by @karrtikr in #21751
  • revert due to buffer overflow on subprocess by @eleanorjboyd in #21762
  • Feature branch testing overflow bug fix by @eleanorjboyd in #21812
  • fixing failing tests on CI by @eleanorjboyd in #21814
  • fix data to string from buffer for output channel by @eleanorjboyd in #21821
  • Set workspaceFolder in debug config before substituting command variables by @karrtikr in #21835
  • Wrap env collection workspace proposed APIs in

    try...catch

    block by @karrtikr in #21846
  • remove usage of pytest CollectReport in rewrite by @eleanorjboyd in #21859
  • Do not filter using scheme when filtering environments by @karrtikr in #21862
  • Activate environment when not using integrated terminal for debugging by @karrtikr in #21880
  • Fixes for issues from test plans by @karthiknadig in #21896
  • Always prepend to PATH instead of replacing it by @karrtikr in #21906

Code Health

  • Remove unwanted Jupyter API by @DonJayamanne in #21702
  • Removing Jupyter Notebooks mentions from package.json by @cwebster-99 in #21708
  • add area-repl to issue label by @anthonykim1 in #21718
  • Update packages for Jedi and core python by @karthiknadig in #21710
  • unittest discovery errors not displaying in test explorer by @eleanorjboyd in #21726
  • Remove old and unused API for Jupyter Ext by @DonJayamanne in #21731
  • Clean up smoke test requirement by @anthonykim1 in #21729
  • Remove vscode types dependency from API npm package and document to install it separately by @karrtikr in #21764
  • Add Ruff to CI by @anthonykim1 in #21739
  • Use updated API to fetch scoped env collection by @karrtikr in #21788
  • Fix

    service.test.ts

    to stop disposing of all services by @eleanorjboyd in #21811
  • Show notification reaffirming Python extension still handles activation when in

    pythonTerminalEnvVarActivation

    experiment by @karrtikr in #21802
  • Apply API recommendations for Create Env API by @karthiknadig in #21804
  • Show

    Python: Clear Workspace interpreter

    command regardless of whether a Python file is opened by @karrtikr in #21858
  • Remove finalized API proposals from package.json by @Tyriar in #21900

Full Changelog: v2023.14.0…v2023.16.0

How to setup Python for VSCode in 3 mins only!! I Install Python and Setup VSCode for Windows 10!
How to setup Python for VSCode in 3 mins only!! I Install Python and Setup VSCode for Windows 10!

Start VS Code in a workspace folder

By starting VS Code in a folder, that folder becomes your “workspace”.

Using a command prompt or terminal, create an empty folder called “hello”, navigate into it, and open VS Code (

code

) in that folder () by entering the following commands:


mkdir hello cd hello code .

Note: If you’re using an Anaconda distribution, be sure to use an Anaconda command prompt.

Alternately, you can create a folder through the operating system UI, then use VS Code’s File > Open Folder to open the project folder.

Questions, issues, feature requests, and contributions

  • If you have a question about how to accomplish something with the extension, please ask on Stack Overflow
  • If you come across a problem with the extension, please file an issue
  • Contributions are always welcome! Please see our contributing guide for more details
  • Any and all feedback is appreciated and welcome!

    • If someone has already filed an issue that encompasses your feedback, please leave a 👍/👎 reaction on the issue
    • Otherwise please start a new discussion
  • If you’re interested in the development of the extension, you can read about our development process
Top 10 Extend phải cài khi lập trình Python trên Visual Studio Code
Top 10 Extend phải cài khi lập trình Python trên Visual Studio Code

Create a Python source code file

From the File Explorer toolbar, select the New File button on the

hello

folder:

Name the file

hello.py

, and VS Code will automatically open it in the editor:

By using the

.py

file extension, you tell VS Code to interpret this file as a Python program, so that it evaluates the contents with the Python extension and the selected interpreter.

Note: The File Explorer toolbar also allows you to create folders within your workspace to better organize your code. You can use the New folder button to quickly create a folder.

Now that you have a code file in your Workspace, enter the following source code in

hello.py

:


msg = "Roll a dice" print(msg)

When you start typing

IntelliSense and auto-completions work for standard Python modules as well as other packages you’ve installed into the environment of the selected Python interpreter. It also provides completions for methods available on object types. For example, because the

msg

variable contains a string, IntelliSense provides string methods when you type

msg.

:

Finally, save the file (⌘S (Windows, Linux Ctrl+S)). At this point, you’re ready to run your first Python file in VS Code.

For full details on editing, formatting, and refactoring, see Editing code. The Python extension also has full support for Linting.

Getting started

To get started, follow the instructions in the template README. There you will learn how to use the template to create your repository and how to install the necessary tools (for example, the nox task runner) and optional dependencies (testing support).

The README has the most up-to-date instructions and also goes into details on how to customize the extension’s

package.json

placeholders (, , etc.).

How to Run Python in Visual Studio Code on Windows 10 [2022] | Run Sample Python Program
How to Run Python in Visual Studio Code on Windows 10 [2022] | Run Sample Python Program

Features of the template

After creating your extension via the template, it will include the following extension contributions. Assume was replaced with

mytool

, and with

My Tool

:

  1. A command My Tool: Restart Server (command ID:

    mytool.restart

    ).
  2. Following settings:


    • mytool.logLevel

    • mytool.args

    • mytool.path

    • mytool.importStrategy

    • mytool.interpreter

    • mytool.showNotification
  3. Following triggers for extension activation:

    • On Language

      python

      .
    • On File with

      .py

      extension found in the opened workspace.
    • On Command

      mytool.restart

      .
  4. On Language
  5. Output channel for logging Output > My Tool.

Enhance completions with AI

GitHub Copilot is an AI-powered code completion tool that helps you write code faster and smarter. You can use the GitHub Copilot extension in VS Code to generate code, or to learn from the code it generates.

GitHub Copilot provides suggestions for languages beyond Python and a wide variety of frameworks, including JavaScript, TypeScript, Ruby, Go, C# and C++.

You can learn more about how to get started with Copilot in the Copilot documentation.

8 Visual Studio Code Extension Tốt Nhất Code Python
8 Visual Studio Code Extension Tốt Nhất Code Python

What’s Changed

Enhancements

  • Add create environment to select interpreter by @karthiknadig in #22746
  • Allow run recent command for REPL using shell integration by @anthonykim1 in #22720

Bug Fixes

  • Revert “Remove old code for folder support in interpreter path setting” by @karrtikr in #22638
  • support multi-level nested classes pytest by @eleanorjboyd in #22681
  • unittest: switch to using top dir since test ids are relative to it by @eleanorjboyd in #22609
  • Bring back REPL shell integration decoration for Mac and Linux by @anthonykim1 in #22714
  • Fix for issue with environment path and Jedi by @karthiknadig in #22713
  • use abspath for top_level_dir for build_test_tree by @eleanorjboyd in #22740
  • Remove star from recommended by @karthiknadig in #22759
  • Rename

    utils

    to

    pvsc_utils

    to prevent shadowing by @karthiknadig in #22760
  • Show name for conda environments created in the workspace by @PopoDev in #22701
  • Remove unsupported proposed APIs enablement from

    package.json

    by @karthiknadig in #22787
  • changes to support pytest 8 by @eleanorjboyd in #22799

Code Health

  • Fix localization failure for pre-release by @karrtikr in #22639
  • Remove experimental tag from createEnvironment.contentButton setting by @luabud in #22629
  • Add localization check to CI by @karrtikr in #22646
  • add logging for when testing is already running and causes new runs to be canceled by @eleanorjboyd in #22653
  • Add permissions to triage-info-needed.yml by @karthiknadig in #22663
  • Remove debugger by @paulacamargo25 in #22502
  • Set debug as deprecated by @paulacamargo25 in #22738

What’s Changed

Enhancements

  • Add dynamic test result update by @eleanorjboyd in #21466
  • Dev Container for VS Code Python Extension by @anthonykim1 in #21435
  • Split subtest name to be unique second half by @eleanorjboyd in #21497

Bug Fixes

  • Fix

    pytest

    run script to add

    cwd

    to path by @eleanorjboyd in #21399
  • Fix for showing button in merge result editor by @karthiknadig in #21408
  • Revert: Run in dedicated terminal feature due to regressions by @karthiknadig in #21418
  • Read launch config in workspace file by @paulacamargo25 in #21426
  • Fix bug that errors on repeat folder name by @eleanorjboyd in #21433
  • Use

    cwd

    in debug testing by @paulacamargo25 in #21437
  • Fix error checking python version by @paulacamargo25 in #21464
  • Adopt lifecycle managed by parent by @paulacamargo25 in #21467
  • Add to payload to allow error parsing on TS by @eleanorjboyd in #21483
  • Let

    pylance

    use

    SharedArrayBuffer

    cancellation in the browser by @rchiodo in #21482
  • Add

    cwd

    to python path during

    unittest


    sendCommand

    by @eleanorjboyd in #21490
  • Fix bug that caused dup in param test cases by @eleanorjboyd in #21498
  • Fix filtering with

    QuickPick

    by @karthiknadig in #21524
  • Rewrite should respect setting

    python.testing.cwd

    by @eleanorjboyd in #21539
  • Fix bug which merges all parametrize test classes by @eleanorjboyd in #21542
  • Fix bug where session path is undefined by @eleanorjboyd in #21544
  • Fix

    sys.path

    in discovery

    unittest

    by @paulacamargo25 in #21546
  • Fix path for

    pytest

    Nodes by @eleanorjboyd in #21548

Code Health

  • Add function node for parameterized tests

    pytest

    by @eleanorjboyd in #21368
  • Remove

    jupyter

    dependency from readme by @minsa110 in #21375
  • Don’t send telemetry in forks by @paulacamargo25 in #21377
  • Python Walkthrough Updates by @cwebster-99 in #21411
  • Add test for import

    pytest

    error by @eleanorjboyd in #21472
  • Update to align with sys path appends by @eleanorjboyd in #21547

Full Changelog: v2023.10.1…v2023.12.0

How to Setup Python in Visual Studio Code on Windows 11
How to Setup Python in Visual Studio Code on Windows 11

Python profile template

Profiles let you quickly switch your extensions, settings, and UI layout depending on your current project or task. To help you get started with Python development, you can use the Python profile template, which is a curated profile with useful extensions, settings, and snippets. You can use the profile template as is or use it as a starting point to customize further for you own workflows.

You select a profile template through the Profiles > Create Profile… dropdown:

Once you select a profile template, you can review the settings and extensions, and remove individual items if you don’t want to include them in your new Profile. After creating the new profile based on the template, changes made to settings, extensions, or UI are persisted in your profile.

Run Python code

To experience Python, create a file (using the File Explorer) named

hello.py

and paste in the following code:


print("Hello World")

The Python extension then provides shortcuts to run Python code using the currently selected interpreter (Python: Select Interpreter in the Command Palette). To run the active Python file, click the Run Python File in Terminal play button in the top-right side of the editor.

You can also run individual lines or a selection of code with the Python: Run Selection/Line in Python Terminal command (Shift+Enter). If there isn’t a selection, the line with your cursor will be run in the Python Terminal. An identical Run Selection/Line in Python Terminal command is available on the context menu for a selection in the editor. The same terminal will be used every time you run a selection or a line in the terminal/REPL, until that terminal is closed. The same terminal is also used for Run Python File in Terminal. If that terminal is still running the REPL, you should exit the REPL (

exit()

) or switch to a different terminal before running a Python file.

The Python extension automatically removes indents based on the first non-empty line of the selection, shifting all other lines left as needed.

The command opens the Python Terminal if necessary; you can also open the interactive REPL environment directly using the Python: Start REPL command that activates a terminal with the currently selected interpreter and then runs the Python REPL.

For a more specific walkthrough and other ways of running code, see the run code tutorial.

Top 7 Best Extensions In VSCode For Python Programming That I Use For Data Science Projects
Top 7 Best Extensions In VSCode For Python Programming That I Use For Data Science Projects

Next steps

To learn how to build web apps with popular Python web frameworks, see the following tutorials:

There is then much more to explore with Python in Visual Studio Code:

  • Python profile template – Create a new profile with a curated set of extensions, settings, and snippets
  • Editing code – Learn about autocomplete, IntelliSense, formatting, and refactoring for Python.
  • Linting – Enable, configure, and apply a variety of Python linters.
  • Debugging – Learn to debug Python both locally and remotely.
  • Testing – Configure test environments and discover, run, and debug tests.
  • Settings reference – Explore the full range of Python-related settings in VS Code.
  • Deploy Python to Azure App Service
  • Deploy Python to Container Apps

Now that you have VSCode installed and know how to open it, we need to discuss one final topic before you start creating your Python programs: VSCode Python extensions. You should see VSCode as a basic framework. It can do things like:

  • Open, edit, and save files
  • Lets you work on projects
  • Start in-app terminals to keep things together
  • Manage extensions

Packaging and publishing

Before publishing your extension, you’ll need to update the extension

package.json

fields (such as

publisher

and

license

) for your specific extension. You also want to update the auxiliary Markdown files (

CODE_OF_CONDUCT.md

,

CHANGELOG.md

, etc.).

Once your extension is ready to publish, there is a

nox


build-package

task to create a

.vsix

file, which you can then upload to your extension management page.

If you are new to creating and publishing VS Code extensions, we recommend you follow best practices outlined in the main VS Code extension authoring topics. Here you’ll find guidance to help make your extension look great on the Marketplace and how to become a verified publisher so that the users feel confident installing your extension.

/ vscode-python Public

forked from DonJayamanne/pythonVSCode

Releases: microsoft/vscode-python

Releases · microsoft/vscode-python

How to install Visual Studio Code on Windows 10/11 [ 2024 Update ] Complete Guide
How to install Visual Studio Code on Windows 10/11 [ 2024 Update ] Complete Guide

Create a virtual environment

A best practice among Python developers is to use a project-specific

virtual environment

. Once you activate that environment, any packages you then install are isolated from other environments, including the global interpreter environment, reducing many complications that can arise from conflicting package versions. You can create non-global environments in VS Code using Venv or Anaconda with Python: Create Environment.

Open the Command Palette (⇧⌘P (Windows, Linux Ctrl+Shift+P)), start typing the Python: Create Environment command to search, and then select the command.

The command presents a list of environment types, Venv or Conda. For this example, select Venv.

The command then presents a list of interpreters that can be used for your project. Select the interpreter you installed at the beginning of the tutorial.

After selecting the interpreter, a notification will show the progress of the environment creation and the environment folder (

/.venv

) will appear in your workspace.

Ensure your new environment is selected by using the Python: Select Interpreter command from the Command Palette.

Note: For additional information about virtual environments, or if you run into an error in the environment creation process, see Environments.

Free Python and Data Science lessons

NASA-inspired lessons

This learning path enables students to use Python to explore doing analyses and projects inspired from real-world problems faced by National Aeronautics and Space Administration (NASA) scientists. View full details of the lessons under NASA-inspired Lessons.

Learn Python with Over The Moon

These space-themed lessons were inspired by the Netflix film, Over the Moon, and will introduce students to data science, machine learning, and artificial intelligence using Python and Azure. View full details on Learn Python with Over The Moon.

Wonder Woman-inspired lessons

Give an introduction to Python with “Wonder Woman 1984”-inspired lessons that help students learn about the basics like conditionals and variables. Get full lesson details under Learn Python with Wonder Woman.

Python in Notebooks

Learn the basics of Python. View the full lesson at Write basic Python in Notebooks in Visual Studio Code.

Set up your Python beginner development environment

A step-by-step guide to installing and setting up your Python and VS Code environment. View the full lesson at Set up your Python beginner development environment with Visual Studio Code.

How to install Python 3.12.0 on Windows 11
How to install Python 3.12.0 on Windows 11

Supported locales

The extension is available in multiple languages:

de

,

en

,

es

,

fa

,

fr

,

it

,

ja

,

ko-kr

,

nl

,

pl

,

pt-br

,

ru

,

tr

,

zh-cn

,

zh-tw

About Extensions

It’s the extensions where VSCode really starts to shine. It has extensions for virtually anything you can think of. Through these extensions, VSCode supports specific languages, like Python, but also Java, Kotlin, Javascript, Typescript, etcetera. But it also offers features like:

  • Advanced code completion, where it suggests useful ways to continue with what you are typing, taking the context into consideration
  • Integration with Version Control Systems like Git
  • Integration with cloud-based services, like GitHub, Docker Hub, etc.

The power of VSCode is that it can do all of this at once. It’s not just a Python IDE, it’s also a great HTML editor, terrific at writing Javascript, and of course, it’s great with Python code too! And the best of all: you get to decide what you want it to be able to do. So can keep it lean and mean, or install every plugin you ever need. It’s up to your taste!

Vscode Extension Installation Error Fix - Error While Installing Extension Please Check the Log
Vscode Extension Installation Error Fix – Error While Installing Extension Please Check the Log

Other popular Python extensions

The Microsoft Python extension provides all of the features described previously in this article. Additional Python language support can be added to VS Code by installing other popular Python extensions.

  1. Open the Extensions view (⇧⌘X (Windows, Linux Ctrl+Shift+X)).
  2. Filter the extension list by typing ‘python’.

The extensions shown above are dynamically queried. Click on an extension tile above to read the description and reviews to decide which extension is best for you. See more in the Marketplace.

Bug Fixes

  • Do not run commands to check whether shell integration is working by @karrtikr in #22850

  • Improve time taken to trigger language server startup once extension activation is triggered by @karrtikr in #22514

  • Fix venv activation for cshell #22852

Full Changelog: v2024.0.0…v2024.0.1

Visual Studio Code Tutorial - How to add extension packs (VSCODE)
Visual Studio Code Tutorial – How to add extension packs (VSCODE)

Python extension for Visual Studio Code

A Visual Studio Code extension with rich support for the Python language (for all actively supported versions of the language: >=3.7), including features such as IntelliSense (Pylance), linting, debugging (Python Debugger), code navigation, code formatting, refactoring, variable explorer, test explorer, and more!

The Python extension does offer some support when running on vscode.dev (which includes github.dev). This includes partial IntelliSense for open files in the editor.

Programming languages and frameworks

The extension template has two parts, the extension part and language server part. The extension part is written in TypeScript, and language server part is written in Python over the

pygls

(Python language server) library.

You will mostly be working on the Python part of the code when using this template. You will be integrating your tool with the extension part using the Language Server Protocol.

pygls

currently works on the version 3.16 of LSP.

The TypeScript part handles working with VS Code and its UI. The extension template comes with a few settings built-in that can be used by your tool. If you need to add new settings to support your tool, you will have to work with a bit of TypeScript. The extension template has examples for a few settings and you can also look at extensions developed by our team for some of the popular tools.

How to Select Python Interpreter in Visual Studio Code (vscode)
How to Select Python Interpreter in Visual Studio Code (vscode)

Data and telemetry

The Microsoft Python Extension for Visual Studio Code collects usage
data and sends it to Microsoft to help improve our products and
services. Read our
privacy statement to
learn more. This extension respects the

telemetry.enableTelemetry

setting which you can learn more about at
https://code.visualstudio.com/docs/supporting/faq#_how-to-disable-telemetry-reporting.

Python in Visual Studio Code

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 operating system with a variety of Python interpreters. It leverages all of VS Code’s power to provide auto complete and IntelliSense, linting, debugging, and unit testing, along with the ability to easily switch between Python environments, including virtual and conda environments.

This article provides only an overview of the different capabilities of the Python extension for VS Code. For a walkthrough of editing, running, and debugging code, use the button below.

How to install extensions

To install an extension in VSCode, you can press the large extensions button on the left, as shown in the following screenshot:

It will open the extensions marketplace. In there, enter Python in the search bar to find all extensions related to Python. You can click the extensions to read more about them and press the install button to install an extension.

Best VSCode Extensions I'm in Love with
Best VSCode Extensions I’m in Love with

Environments

The Python extension automatically detects Python interpreters that are installed in standard locations. It also detects conda environments as well as virtual environments in the workspace folder. See Configuring Python environments.

The current environment is shown on the right side of the VS Code Status Bar:

The Status Bar also indicates if no interpreter is selected:

The selected environment is used for IntelliSense, auto-completions, linting, formatting, and any other language-related feature. It is also activated when you run or debug Python in a terminal, or when you create a new terminal with the Terminal: Create New Terminal command.

To change the current interpreter, which includes switching to conda or virtual environments, select the interpreter name on the Status Bar or use the Python: Select Interpreter command.

VS Code prompts you with a list of detected environments as well as any you’ve added manually to your user settings (see Configuring Python environments).

What’s Changed

Enhancements

  • Reliably detect whether shell integration is working by @karrtikr in #22440
  • Add consoleTitle to launch.json properties schema by @trysten in #22406
  • Support deactivating virtual environments without user intervention by @karrtikr in #22405
  • Use worker threads for fetching Windows Registry interpreters by @karrtikr in #22479
  • Show warning and allow user to turn off smart send for deprecated Python code by @anthonykim1 in #22353
  • Use worker threads for fetching conda environments and interpreter related info by @karrtikr in #22481
  • Use shell integration to denote success/failure by @anthonykim1 in #22487

Bug Fixes

  • Do not prefer Microsoft store interpreter over other global interpreters when auto-selecting by @karrtikr in #22380
  • Ensure Python environment defined in

    python.defaultInterpreterPath

    is returned via discovery API by @karrtikr in #22389
  • Refactor get_node_path function to handle fspath greedy access by @eleanorjboyd in #22384
  • Do not attempt to kill the process if it has already exited by @karrtikr in #22424
  • Improve shell identifier on case-insensitive system by @JamzumSum in #22391
  • Adding

    Locked

    comments to walkthrough commands by @cwebster-99 in #22432
  • If active editor opened is outside the editor, activate the first workspace by @karrtikr in #22450
  • Install requirements before toml by @karthiknadig in #22468
  • Use

    WorkspaceFolder.name

    in addition to workspace folder’s basename when resolving

    ${workspaceFolder:name}

    syntax in settings by @karrtikr in #22471
  • Bump

    vscode-tas-client

    and fix tests by @karthiknadig in #22493
  • Resolve test suite discovery import errors due to path ordering by @shanesaravia in #22454
  • switch to conditional error message on check for UUID and port during pytest config by @eleanorjboyd in #22534
  • Improvement: Pass along python interpreter to jedi-language-server by @johnhany97 in #22466
  • White space after REPL prompt by @anthonykim1 in #22549
  • Fix shell integration decoration for windows pwsh by @anthonykim1 in #22560
  • fix no test id provided for pytest run by @eleanorjboyd in #22569
  • Fix shell integration decoration bug for Windows pwsh by @anthonykim1 in #22572
  • Revert unsuccessful REPL decoration fix and disable for windows by @anthonykim1 in #22578

Code Health

  • Remove deprecated settings by @karthiknadig in #22377
  • Use python test runner for extension python tests by @karthiknadig in #22385
  • Use nox to install packages by @karthiknadig in #22381
  • Remove unused packages from

    package.json

    by @karthiknadig in #22386
  • Add cwd to error logs by @eleanorjboyd in #22387
  • remove new line chars from error text messages in testing rewrite by @eleanorjboyd in #22402
  • Remove old code for folder support in interpreter path setting by @karrtikr in #22413
  • Add 3.12 to conda version list by @karthiknadig in #22470
PyScript | Run Python in your HTML | Write your first PyScript Program in VSCode | PYTHON in BROWSER
PyScript | Run Python in your HTML | Write your first PyScript Program in VSCode | PYTHON in BROWSER

What’s Changed

Enhancements

  • Bump Jedi to 0.19.1 for Python 3.12 support by @PeterJCLaw in #22132
  • Remove

    isort

    support by @karthiknadig in #22187
  • REPL Smart Shift+Enter and Dynamic Smart Cursor by @anthonykim1 in #21779
  • add clickable show logs on discovery error by @eleanorjboyd in #22199
  • Remove formatting support by @karthiknadig in #22196
  • switch testing output to test result panel by @eleanorjboyd in #22039
  • Remove formatting settings by @karthiknadig in #22202
  • Handle white spaces for list along with dictionary by @anthonykim1 in #22209
  • Guide users to install workaround when deactivate command is run by @karrtikr in #22223
  • Support powershell activation even if Powershell execution is disabled on the system by @karrtikr in #22273
  • Only show terminal notification for basic terminals created using ‘+’ icon by @karrtikr in #22275
  • Improve notification texts for terminal activation by @karrtikr in #22323

Bug Fixes

  • handle key error pytest by @eleanorjboyd in #22151
  • fix to get user defined env and use it to set up testing subprocess by @eleanorjboyd in #22165
  • fix bug with unittest debug not having args by @eleanorjboyd in #22169
  • fix unittest output to remove print of only object reference by @eleanorjboyd in #22180
  • Skip setting

    PYTHONUTF8

    when activating terminals by @karrtikr in #22213
  • remove node deletion for error tolerant discovery by @eleanorjboyd in #22207
  • add hookwrappers to pytest plugin to ensure run by @eleanorjboyd in #22240
  • add wrapper hook for pytest_runtest_protocol by @eleanorjboyd in #22243
  • add correct retrieval of workspace adapter for test discovery in multiroot context by @eleanorjboyd in #22246
  • Remove unmatched parenthesis from error message by @BoltonBailey in #22254
  • Fix for stack overflow on dispose by @karthiknadig in #22263
  • add envFile’s pythonpath before running tests by @eleanorjboyd in #22269
  • Use taskkill to kill processes on Windows by @karrtikr in #22286
  • Update linter and formatter warning notifications by @karthiknadig in #22292
  • Update warning for the deprecated settings in python by @karthiknadig in #22345
  • Save env vars at first pytest hook to ensure theyre unedited by @eleanorjboyd in #22344
  • Trim ends before add lines to logs from create env output by @karthiknadig in #22358
  • allow -v, -f, -q, –local in unittest args by @eleanorjboyd in #22357

Code Health

  • switch end to end tests to randomized substring by @eleanorjboyd in #22114
  • Migrate extension to node 18 by @karrtikr in #22135
  • switch to using envvars for port and uuid in unittest by @eleanorjboyd in #22131
  • Use python 3.12-dev by @karthiknadig in #22043
  • Move tensorboard support into a separate extension by @DonJayamanne in #22197
  • Add logging for failure to retrieve environment variables, testing rewrite by @eleanorjboyd in #22203
  • remove asserts from catchable code for testing by @eleanorjboyd in #22210
  • Enable experiments for all tests by @anthonykim1 in #22194
  • Add support for a tensorboard experiment by @DonJayamanne in #22215
  • Deprecate the log directory setting by @DonJayamanne in #22236
  • Fix experiment telemetry related to optInto/optOutFrom settings by @karrtikr in #22241
  • Remove unused text edit code by @karthiknadig in #22244
  • Add extra logging to PythonTestServer data received before parsed as json by @eleanorjboyd in #22265
  • Remove linting support by @karthiknadig in #22266
  • Log commands when using raw process APIs directly by @karrtikr in #22326
  • fix small logging issues for testing deprecation & duplicate log by @eleanorjboyd in #22349

Prerequisites

  • Ability to install programs locally.
  • Basic familiarity with programming concepts.
  • Introduction min
  • Install Python 3 min
  • Knowledge check min
  • Summary min

Getting Started with Python in VS Code

In this tutorial, you will learn how to use Python 3 in Visual Studio Code to create, run, and debug a Python “Roll a dice” application, work with virtual environments, use packages, and more! By using the Python extension, you turn VS Code into a great, lightweight Python editor.

If you are new to programming, check out the Visual Studio Code for Education – Introduction to Python course. This course offers a comprehensive introduction to Python, featuring structured modules in a ready-to-code browser-based development environment.

To gain a deeper understanding of the Python language, you can explore any of the programming tutorials listed on python.org within the context of VS Code.

For a Data Science focused tutorial with Python, check out our Data Science section.

How to Install Python 3.12.1 on Windows 11 [ 2024 Update ] Complete Guide
How to Install Python 3.12.1 on Windows 11 [ 2024 Update ] Complete Guide

Examples

There are several example implementations created from the template:

  • Pylint – implements linting and Code Actions on file

    open

    ,

    save

    , and

    close

    .
  • Flake8 – implements linting and Code Actions.
  • Black Formatter – integrates the Black formatter.
  • autopep8 – integrates the autopep8 formatter.
  • isort – adds Code Actions to sort imports.

You can also review the Language Server Protocol specification to better understand the

pygls

language server integration.

Testing

The Python extension supports testing with Python’s built-in unittest framework and pytest.

In order to run tests, you must enable one of the supported testing frameworks in the settings of your project. Each framework has its own specific settings, such as arguments for identifying the paths and patterns for test discovery.

Once the tests have been discovered, VS Code provides a variety of commands (on the Status Bar, the Command Palette, and elsewhere) to run and debug tests. These commands also allow you to run individual test files and methods

How To Install C C++ Extension Pack  in Visual Studio Code || By BDM Captain
How To Install C C++ Extension Pack in Visual Studio Code || By BDM Captain

Python Extension Pack

Unsure which extensions to recommend to your students? You can point your students to the Python Education Extension Pack that contains essential and helpful extensions for the classroom. You can download the extension pack from the VS Code Marketplace:

The extension pack contains:

  • Python for basic Python functionality like compiling, debugging support, linting, Jupyter Notebooks, unit tests, and more.
  • Live Share to enable real-time collaboration.
  • Remote – SSH to work on remote projects (for example, to access lab machines) through SSH with full VS Code functionality.
  • Markdown+Math for full LaTeX support in Markdown.
  • Python Test Explorer for Visual Studio Code to visualize and run Python tests in the side bar.
  • Code Runner to run snippets (selected code) and single files of any code with a single click.

The Best VSCode Python Extensions

Python

You at least want to install the official Python extension for Python programming. It offers many features you’ll need, like IntelliSense, linting, debugging, code navigation, code formatting, refactoring, variable explorer, test explorer, snippets, and more. You’ll automatically get the Pylance plugin when you install this plugin.

Sonarlint

The Sonarlint plugin detects common mistakes and bugs. It detects many security and code quality issues and has saved me more than once. I highly recommend it. It’s not just for Python but also supports common languages like Java, JavaScript, TypeScript, PHP, and more.

MagicPython

MagicPython is a cutting-edge version of the default Python syntax highlighter in VSCode. You don’t need it unless you use cutting-edge Python versions, but I always install it just to be sure.

Python Indent

The Python Indent plugin helps you indent your code, especially when creating complex data structures between bracket pairs. E.g., when you create large nested lists, big dictionaries, etcetera.

autoDocstring

The autoDocstring extension helps you quickly generate docstring snippets.

Visual Studio IntelliCode

The Intellicode extension is a smart, AI-assisted code completion extension built by Microsoft. It supports Python, Java, JavaScript, and TypeScript. Changes are you already have this installed, though!

Python Extension Pack

If you want to get a nice selection quickly, you can also install the Python Extension Pack. I personally prefer to pick my own selection since packs like these may change their selection of extensions at any moment and perhaps add things I don’t want.

Authoring Python Extensions

Note: If you are new to VS Code extension authoring, you may want to read the Your First Extension tutorial first and try creating a simple Hello World extension.

The Python extension provides APIs for other extensions to work with Python environments available on the user’s machine. Check out @vscode/python-extension npm module that includes types and helper utilities to access these APIs from your extension.

How To Setup Python for VSCode | Setting Up VSCode For Python Programming
How To Setup Python for VSCode | Setting Up VSCode For Python Programming

Install and use packages

Let’s build upon the previous example by using packages.

In Python, packages are how you obtain any number of useful code libraries, typically from PyPI, that provide additional functionality to your program. For this example, you use the

numpy

package to generate a random number.

Return to the Explorer view (the top-most icon on the left side, which shows files), open

hello.py

, and paste in the following source code:


import numpy as np msg = "Roll a dice" print(msg) print(np.random.randint(1,9))

Tip: If you enter the above code by hand, you may find that auto-completions change the names after the


as

keywords when you press Enter at the end of a line. To avoid this, type a space, then Enter.

Next, run the file in the debugger using the “Python: Current file” configuration as described in the last section.

You should see the message, “ModuleNotFoundError: No module named ‘numpy'”. This message indicates that the required package isn’t available in your interpreter. If you’re using an Anaconda distribution or have previously installed the

numpy

package you may not see this message.

To install the

numpy

package, stop the debugger and use the Command Palette to run Terminal: Create New Terminal (⌃⇧` (Windows, Linux Ctrl+Shift+`)). This command opens a command prompt for your selected interpreter.

To install the required packages in your virtual environment, enter the following commands as appropriate for your operating system:

  1. Install the packages


    # Don't use with Anaconda distributions because they include matplotlib already. # macOS python3 -m pip install numpy # Windows (may require elevation) py -m pip install numpy # Linux (Debian) apt-get install python3-tk python3 -m pip install numpy

  2. Now, rerun the program, with or without the debugger, to view the output!

Congrats on completing the Python tutorial! 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. Explore additional resources to learn how to get the most out of Python in Visual Studio Code!

Configure and run the debugger

Let’s now try debugging our Python program. Debugging support is provided by the Python Debugger extension, which is automatically installed with the Python extension. To ensure it has been installed correctly, open the Extensions view (⇧⌘X (Windows, Linux Ctrl+Shift+X)) and search for

@installed python debugger

. You should see the Python Debugger extension listed in the results.

Next, set a breakpoint on line 2 of

hello.py

by placing the cursor on the

Next, to initialize the debugger, press F5. Since this is your first time debugging this file, a configuration menu will open from the Command Palette allowing you to select the type of debug configuration you would like for the opened file.

Note: VS Code uses JSON files for all of its various configurations;


launch.json

is the standard name for a file containing debugging configurations.

Select Python File, which is the configuration that runs the current file shown in the editor using the currently selected Python interpreter.

The debugger will start, and then stop at the first line of the file breakpoint. The current line is indicated with a yellow arrow in the left margin. If you examine the Local variables window at this point, you can see that the

msg

variable appears in the Local pane.

A debug toolbar appears along the top with the following commands from left to right: continue (F5), step over (F10), step into (F11), step out (⇧F11 (Windows, Linux Shift+F11)), restart (⇧⌘F5 (Windows, Linux Ctrl+Shift+F5)), and stop (⇧F5 (Windows, Linux Shift+F5)).

The Status Bar also changes color (orange in many themes) to indicate that you’re in debug mode. The Python Debug Console also appears automatically in the lower right panel to show the commands being run, along with the program output.

To continue running the program, select the continue command on the debug toolbar (F5). The debugger runs the program to the end.

Tip Debugging information can also be seen by hovering over code, such as variables. In the case of


msg

, hovering over the variable will display the string

Roll a dice!

in a box above the variable.

You can also work with variables in the Debug Console (If you don’t see it, select Debug Console in the lower right area of VS Code, or select it from the … menu.) Then try entering the following lines, one by one, at the > prompt at the bottom of the console:


msg msg.capitalize() msg.split()

Select the blue Continue button on the toolbar again (or press F5) to run the program to completion. “Roll a dice!” appears in the Python Debug Console if you switch back to it, and VS Code exits debugging mode once the program is complete.

If you restart the debugger, the debugger again stops on the first breakpoint.

To stop running a program before it’s complete, use the red square stop button on the debug toolbar (⇧F5 (Windows, Linux Shift+F5)), or use the Run > Stop debugging menu command.

For full details, see Debugging configurations, which includes notes on how to use a specific Python interpreter for debugging.

Tip: Use Logpoints instead of print statements: Developers often litter source code with

HOW TO DOWNLOAD & INSTALL ANY PYTHON VERSION EASILY ON PC ( 2024 GUIDE )
HOW TO DOWNLOAD & INSTALL ANY PYTHON VERSION EASILY ON PC ( 2024 GUIDE )

Jupyter notebooks

To enable Python support for Jupyter notebook files (

.ipynb

) in VS Code, you can install the Jupyter extension. The Python and Jupyter extensions work together to give you a great Notebook experience in VS Code, providing you the ability to directly view and modify code cells with IntelliSense support, as well as run and debug them.

You can also convert and open the notebook as a Python code file through the Jupyter: Export to Python Script command. The notebook’s cells are delimited in the Python file with

#%%

comments, and the Jupyter extension shows Run Cell or Run Below CodeLens. Selecting either CodeLens starts the Jupyter server and runs the cell(s) in the Python interactive window:

You can also connect to a remote Jupyter server to run your notebooks. For more information, see Jupyter support.

Python extension template

The Python extension template helps get you started building a Visual Studio Code extension for your favorite Python tool. It could be a linter, formatter, or code analysis, or all of those together. The template will give you the basic building blocks you need to build an extension that integrates your tool into VS Code, and it already has access to the Python APIs mentioned above.

My Minimal VS Code Setup for Python - 5 Visual Studio Code Extensions
My Minimal VS Code Setup for Python – 5 Visual Studio Code Extensions

Integrating your tool

The generated

bundled/tool/server.py

file is where you will make most of your changes.

TODO

comments in the file point out the various customization points. Also search for

TODO

comments in other locations in the template, such as other Python and Markdown files. You will want to review the LICENSE file, even if you want to keep it MIT License.

Autocomplete and IntelliSense

The Python extension supports code completion and IntelliSense using the currently selected interpreter. IntelliSense is a general term for a number of features, including intelligent code completion (in-context method and variable suggestions) across all your files and for built-in and third-party modules.

IntelliSense quickly shows methods, class members, and documentation as you type. You can also trigger completions at any time with ⌃Space (Windows, Linux Ctrl+Space). Hovering over identifiers will show more information about them.

How to run Python in Visual Studio Code on Windows 10/11 [ 2024 Update ] Python Developers
How to run Python in Visual Studio Code on Windows 10/11 [ 2024 Update ] Python Developers

Next steps

  • Python Hello World tutorial – Get started with Python in VS Code.
  • Editing Python – Learn about auto-completion, formatting, and refactoring for Python.
  • Basic Editing – Learn about the powerful VS Code editor.
  • Code Navigation – Move quickly through your source code.
  • Django tutorial
  • Flask tutorial

Python 2024.1.10431006 Vsix File Free Download

A Free Programming Languages Extension By Microsoft (ms-python)

Downloads: 13528 Updated: February 12, 2024

You are about to download the Python Vsix v2024.1.10431006 file for Visual Studio Code 1.82.0 and up: Python, IntelliSense (Pylance), Linting, Debugging (multi-threaded, remote), Jupyter Notebooks, code formatting, refactoring, unit tests, and more. …

Please note that the Python Vsix file v2024.1.10431006 on VsixHub is the original file archived from the Visual Studio Marketplace. You could choose a server to download the offline vsix extension file and install it.

VSIX Package File

• Vsix File: python-2024.1.10431006_vsixhub.com.vsix

• Extension Version: 2024.1.10431006

• Requires: VS Code 1.82.0 and up

• File Size: 15.61 MB (16369003 Bytes)

• MD5: ee9fa945a388bf56fab61c4e365467cd

• SHA1: 5a7be3ab2f4fb72d24dcc1bf10437bda0b6dbf7f

• SHA256: b730233e6aff1a4c3a48ecd2205154ed2206a1ff789fd5a4b15a899c575e677d

• Download VSIX File from VsixHub >

• Download VSIX File from


Sendspace >

• Download VSIX File from Rapidgator >

• Get it on Visual Studio Marketplace >

Also Python is included in these tags:

⋅ debuggers ⋅ django ⋅ ini ⋅ jinja ⋅ json ⋅ keybindings ⋅ linters ⋅ multi-root ready ⋅ pip requirements ⋅ pip-requirements ⋅ python ⋅ requirements.txt ⋅ toml ⋅ unittest ⋅ yaml

What Does The Extension Do

Python is a freeware extension for VS Code published by Microsoft, you can install it to increase the power of your Visual Studio Code:

IntelliSense (Pylance), Linting, Debugging (multi-threaded, remote), Jupyter Notebooks, code formatting, refactoring, unit tests, and more. … Learn More >

How to Install Python From a VSIX

You can easily install the Python extension packaged in the .vsix file:

Launch VS Code, use the Install from VSIX command in the Extensions view command drop-down, or the Extensions: Install from VSIX… command in the Command Palette, and point to the .vsix file (i.e. python-2024.1.10431006_vsixhub.com.vsix).

Python Version History

Python 2024.1.10361108 (Updated: February 5, 2024)

Python 2023.25.10292213 (Updated: January 30, 2024)

Python 2023.25.10221012 (Updated: January 22, 2024)

Python 2023.25.10171013 (Updated: January 17, 2024)

Python 2023.25.10111009 (Updated: January 11, 2024)

Python 2023.23.13541005 (Updated: December 20, 2023)

Python 2023.23.13481009 (Updated: December 14, 2023)

Python 2023.23.13391009 (Updated: December 5, 2023)

Python 2023.21.13351006 (Updated: December 1, 2023)

Python 2023.21.13261010 (Updated: November 22, 2023)

Install and configure Visual Studio Code for Python development

Install and configure Visual Studio Code to create a development environment for learning to build Python applications.

Debugging

No more

For more specific information on debugging in Python, such as configuring your

launch.json

settings and implementing remote debugging, see Debugging. General VS Code debugging information is found in the debugging document.

Additionally, the Django and Flask tutorials provide examples of how to implement debugging in the context of web applications, including debugging Django templates.

How to install Python Libraries in Visual Studio Code
How to install Python Libraries in Visual Studio Code

What’s Changed

Enhancements

  • Display errors and tests on discovery by @eleanorjboyd in #21629
  • Add npm project for Python API by @karrtikr in #21631
  • Added Dev Container Using MCR by @anthonykim1 in #21675

Bug Fixes

  • Correct PATH env var name for non-Windows when applying env var collection for microvenv by @karrtikr in #21564
  • Fix duplicate class names processed as single node in build test tree pytest by @eleanorjboyd in #21601
  • Return exceptions & skips correctly pytest by @eleanorjboyd in #21603
  • Handle skipped marker on class level by @eleanorjboyd in #21612
  • Fix for CodeQL errors by @karthiknadig in #21613
  • Handle error tests as a different test icon by @eleanorjboyd in #21630
  • Compare global storage data using only

    key

    by @msujew in #21636
  • Correct discovery on unittest skip at file level by @eleanorjboyd in #21665
  • Ensure

    Run Python in dedicated terminal

    uses

    python.executeInFirDir

    setting by @karrtikr in #21681
  • Handle skip unittest at file without error by @eleanorjboyd in #21678

Code Health

  • Disable creating gh tags for pre-releases by @karthiknadig in #21563
  • Remove needs labels by @eleanorjboyd in #21572
  • Info needed closer by @eleanorjboyd in #21575
  • Move lock issues by @eleanorjboyd in #21580
  • Move more workflows to python by @eleanorjboyd in #21581
  • Update list of repo labels by @karrtikr in #21597
  • Add pythonwelcome2 walkthrough to activation reason by @luabud in #21588
  • Download

    get-pip.py

    during build by @karthiknadig in #21589
  • Bump semver by @rzhao271 in #21618
  • Delete run messages by @eleanorjboyd in #21620
  • Add deprecation warning for linting and formatting settings by @luabud in #21585
  • Update writing style based on recommendation by @karthiknadig in #21525
  • Add extra logging regarding interpreter discovery by @karrtikr in #21639
  • Bring back feature to Run Python file in dedicated terminal by @karrtikr in #21656
  • Prevent posix paths locator from crashing by @karrtikr in #21657
  • Do not resolve symbolic links in posix locator if they exceed the count limit by @karrtikr in #21658
  • Add new telemetry property to GPDR by @rchiodo in #21683
  • Do not show “Select at workspace level” option if only one workspace folder is opened by @karrtikr in #21689
  • Remove unwanted Jupyter API by @DonJayamanne in #21702
  • Removing Jupyter Notebooks mentions from package.json by @cwebster-99 in #21708
  • Add area-repl to issue label by @anthonykim1 in #21718
  • Update packages for Jedi and core python by @karthiknadig in #21710

Run Python code

Click the Run Python File in Terminal play button in the top-right side of the editor.

The button opens a terminal panel in which your Python interpreter is automatically activated, then runs

python3 hello.py

(macOS/Linux) or

python hello.py

(Windows):

There are three other ways you can run Python code within VS Code:

  1. Right-click anywhere in the editor window and select Run > Python File in Terminal (which saves the file automatically):

  2. Select one or more lines, then press Shift+Enter or right-click and select Run Selection/Line in Python Terminal. This command is convenient for testing just a part of a file.

  3. From the Command Palette (⇧⌘P (Windows, Linux Ctrl+Shift+P)), select the Python: Start REPL command to open a REPL terminal for the currently selected Python interpreter. In the REPL, you can then enter and run lines of code one at a time.

Congrats, you just ran your first Python code in Visual Studio Code!

How to Run Python 3.12 in Visual Studio Code on Windows 10 [2023]| Run Sample Python Program
How to Run Python 3.12 in Visual Studio Code on Windows 10 [2023]| Run Sample Python Program

What’s Changed

Bug Fixes

  • Fix for showing Create Environment button in merge result editor by @karthiknadig in #21409
  • Revert: Run in dedicated terminal feature due to regressions by @karthiknadig in #21427

Full Changelog: v2023.10.0…v2023.10.1

Python in Visual Studio Code – October 2021 Release

We are pleased to announce that the October 2021 release of the Python Extension for Visual Studio Code is now available. You can download the Python extension from the Marketplace, or install it directly from the extension gallery in Visual Studio Code. If you already have the Python extension installed, you can also get the latest update by restarting Visual Studio Code. You can learn more about Python support in Visual Studio Code in the documentation.

In this release we closed a total of 88 issues, and it includes:

  • Debugging support for Jupyter Notebooks
  • A new Python walkthrough
  • Improvements to the debugging experience for Python files and projects

If you’re interested, you can check the full list of improvements in our changelog.

Debugging support for Jupyter Notebooks

We’re excited to announce that you can now debug your Python cells on Jupyter notebooks!

To try it out, make sure you have ipykernel v6+ installed in your selected kernel. Then set a breakpoint, select the Debug Cell command from the drop-down menu next to the play button and start inspecting your code with all the features the debugger has to offer!

New Python walkthrough

We’re excited to announce that this release includes a walkthrough with some basic set up steps to improve the getting started experience for Python in VS Code.

The walkthrough covers steps such as Python installation, selection of an interpreter for your project and how to run and debug Python files in VS Code. We hope this will be a quick and helpful guide for those learning or starting Python for the first time in VS Code!

Improvements in the debugging experience for Python projects

When working with workspaces with no launch.json configuration present, the Python extension would display a debugger configuration menu every time you would debug your Python file or project. This could be particularly annoying when debugging a web application with custom arguments (like Flask, Django or FastAPI, for example).

Now you no longer need to provide a configuration every time you start debugging, as the first selection you make is reused for the rest of the session.

Other Changes and Enhancements

We have also added small enhancements and fixed issues requested by users that should improve your experience working with Python in Visual Studio Code. Some notable changes include:

  • python.testing.cwd setting is no longer ignored when discovering or running tests. (#8678)
  • Upgraded to Jedi 0.18 and enabled it behind the language server protocol. Remove Jedi-related settings python.jediMemoryLimit and python.jediPath, since they are not used with the new language server implementation. (#11995)
  • Removed support for rope, ctags and pylintMinimalCheckers setting. Refactoring, syntax errors and workspace symbols are now supported via language servers. (#10440, #13321, #16063)
  • Default value of python.linting.pylintEnabled has been changed to false. (#3007)

Special thanks to this month’s contributors:

  • Anupama Nadig: Fix casing of text in unittest patterns quickpick. (#17093)
  • Erik Demaine: Improve pattern matching for shell detection on Windows. (#17426)
  • ilexei: Changed the way of searching left bracket [ in case of subsets of tests. (#17461)

Be sure to download the Python extension for Visual Studio Code now to try out the above improvements. If you run into any problems or have suggestions, please file an issue on the Python VS Code GitHub page.

Python in Visual Studio Code

Visual Studio Code is a free source code editor that fully supports Python and useful features such as real-time collaboration. It’s highly customizable to support your classroom the way you like to teach.

“Visual Studio Code is the best balance of authenticity and accessibility… Visual Studio Code doesn’t feel ‘fake’, it’s what real software developers use. Plus, Visual Studio Code works on every OS!” – Professor Zachary Dodds from Harvey Mudd College

Read below for recommendations for extensions, settings, and links to free lessons that you can use in your classes.

Install Python and the Python extension

The tutorial guides you through installing Python and using the extension. You must install a Python interpreter yourself separately from the extension. 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 profile template that includes useful extensions, settings, and Python code snippets.

Once you have a version of Python installed, select it using the Python: Select Interpreter command. If VS Code doesn’t automatically locate the interpreter you’re looking for, refer to Environments – Manually specify an interpreter.

You can configure the Python extension through settings. Learn more in the Python Settings reference.

Windows Subsystem for Linux: If you are on Windows, WSL is a great way to do Python development. You can run Linux distributions on Windows and Python is often already installed. When coupled with the WSL extension, you get full VS Code editing and debugging support while running in the context of WSL. To learn more, go to Developing in WSL or try the Working in WSL tutorial.

How to setup Visual Studio Code for Python 3.10 development in Windows 11
How to setup Visual Studio Code for Python 3.10 development in Windows 11

Useful commands

Open the Command Palette (Command+Shift+P on macOS and Ctrl+Shift+P on Windows/Linux) and type in one of the following commands:

Command Description

Python: Select Interpreter
Switch between Python interpreters, versions, and environments.

Python: Start REPL
Start an interactive Python REPL using the selected interpreter in the VS Code terminal.

Python: Run Python File in Terminal
Runs the active Python file in the VS Code terminal. You can also run a Python file by right-clicking on the file and selecting

Run Python File in Terminal

.

Format Document
Formats code using the provided formatter in the

settings.json

file.

Python: Configure Tests
Select a test framework and configure it to display the Test Explorer.

To see all available Python commands, open the Command Palette and type

Python

. For Jupyter extension commands, just type

Jupyter

.

Feature details

Learn more about the rich features of the Python extension:

  • IntelliSense: Edit your code with auto-completion, code navigation, syntax checking and more
  • Linting: Get additional code analysis with Pylint, Flake8 and more
  • Code formatting: Format your code with black, autopep or yapf
  • Debugging: Debug your Python scripts, web apps, remote or multi-threaded processes
  • Testing: Run and debug tests through the Test Explorer with unittest or pytest.
  • Jupyter Notebooks: Create and edit Jupyter Notebooks, add and run code cells, render plots, visualize variables through the variable explorer, visualize dataframes with the data viewer, and more
  • Environments: Automatically activate and switch between virtualenv, venv, pipenv, conda and pyenv environments
  • Refactoring: Restructure your Python code with variable extraction and method extraction. Additionally, there is componentized support to enable additional refactoring, such as import sorting, through extensions including isort and Ruff.
Python extension installation error Visual Studio Code
Python extension installation error Visual Studio Code

Keywords searched by users: visual studio code python extension download

Vscode Python Extensions • Python Land Tutorial
Vscode Python Extensions • Python Land Tutorial
Setting Up Vscode For Python: A Complete Guide | Datacamp
Setting Up Vscode For Python: A Complete Guide | Datacamp
Setting Up Vscode For Python: A Complete Guide | Datacamp
Setting Up Vscode For Python: A Complete Guide | Datacamp
How To Set Up Visual Studio Code For Python Development
How To Set Up Visual Studio Code For Python Development
Using Python In Vs Code And Codium | Opensource.Com
Using Python In Vs Code And Codium | Opensource.Com
How To Set Up Visual Studio Code In 2023 (The Easy Way)
How To Set Up Visual Studio Code In 2023 (The Easy Way)
Python Development In Visual Studio Code – Real Python
Python Development In Visual Studio Code – Real Python
Python In Visual Studio Code – May 2022 Release - Python
Python In Visual Studio Code – May 2022 Release – Python
Setting Up Vscode For Python: A Complete Guide | Datacamp
Setting Up Vscode For Python: A Complete Guide | Datacamp
Github - Microsoft/Vscode-Python: Python Extension For Visual Studio Code
Github – Microsoft/Vscode-Python: Python Extension For Visual Studio Code
Install Visual Studio Code Extensions
Install Visual Studio Code Extensions
How To Configure Visual Studio Code For Python Development
How To Configure Visual Studio Code For Python Development
Python - Visual Studio Marketplace
Python – Visual Studio Marketplace
Hướng Dẫn Lập Trình Python Với Visual Studio Code - Học Lập Trình Python -  Viettuts
Hướng Dẫn Lập Trình Python Với Visual Studio Code – Học Lập Trình Python – Viettuts
How To Add Python Interpreter In Visual Studio Code - Step By Step - Youtube
How To Add Python Interpreter In Visual Studio Code – Step By Step – Youtube
Python Development In Visual Studio Code – Real Python
Python Development In Visual Studio Code – Real Python
Setting Up Visual Studio Code For Python Development
Setting Up Visual Studio Code For Python Development
How To Install Vscode Ide On Windows | Visual Studio Code – Data Science  Duniya
How To Install Vscode Ide On Windows | Visual Studio Code – Data Science Duniya
Top 10 Vs Code Extensions For Python - Geeksforgeeks
Top 10 Vs Code Extensions For Python – Geeksforgeeks

See more here: kientrucannam.vn

Trả lời

Email của bạn sẽ không được hiển thị công khai. Các trường bắt buộc được đánh dấu *