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. Show
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. Python Hello World Tutorial Install Python and the Python extensionThe 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. Once you have a version of Python installed, activate it using the Python: Select Interpreter command. If VS Code doesn't automatically locate the interpreter you're looking for, refer to . You can configure the Python extension through settings. Learn more in the Python Settings reference.
Run Python codeTo experience Python, create a file (using the ) named
The Python extension then provides shortcuts to run Python code in the currently selected interpreter (Python: Select Interpreter in the Command Palette):
You can also use the Terminal: Create New Terminal command to create a terminal in which VS Code automatically activates the currently selected interpreter. See below. The Python: Start REPL activates a terminal with the currently selected interpreter and then runs the Python REPL. For a more specific walkthrough on running code, see the tutorial. Autocomplete and IntelliSenseThe 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, and you can trigger completions at any time with ⌃Space (Windows, Linux Ctrl+Space). You can also hover over identifiers for more information about them.
Enhance completions with AIGitHub 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 numerous languages and a wide variety of frameworks, and it works especially well for Python, JavaScript, TypeScript, Ruby, Go, C# and C++. You can learn more about how to get started with Copilot in the Copilot documentation. LintingLinting analyzes your Python code for potential errors, making it easy to navigate to and correct different problems. The Python extension can apply a number of different linters including Pylint, pycodestyle, Flake8, mypy, pydocstyle, prospector, and pylama. See Linting. DebuggingNo more For Python-specific details, including setting up your EnvironmentsThe 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 left 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 other than debugging. It is also activated when you run Python in a terminal. 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). Installing packagesPackages are installed using the Terminal panel and commands like Jupyter notebooksIf you open a Jupyter notebook file ( You can also convert and open the notebook as a Python code file. The notebook's cells are delimited in the Python file with Opening a notebook as a Python file allows you to use all of VS Code's debugging capabilities. You can then save the notebook file and open it again as a notebook in the Notebook Editor, Jupyter, or even upload it to a service like Azure Notebooks. Using either method, Notebook Editor or a Python file, you can also connect to a remote Jupyter server for running the code. For more information, see Jupyter support. TestingThe Python extension supports testing with unittest and pytest. To run tests, you enable one of the frameworks in settings. Each framework also has specific settings, such as arguments that identify paths and patterns for test discovery. Once discovered, VS Code provides a variety of commands (on the Status Bar, the Command Palette, and elsewhere) to run and debug tests, including the ability to run individual test files and individual methods. ConfigurationThe Python extension provides a wide variety of settings for its various features. These are described on their relevant topics, such as Editing code, Linting, Debugging, and Testing. The complete list is found in the Settings reference. Other popular Python extensionsThe 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.
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. Bagaimana cara menjalankan python?Menjalankan Python. Buka terminal CTRL + ALT + T.. Ketik python maka Anda akan masuk ke Python shell.. Tuliskan script Python Anda, contoh: print("Selamat datang di Python") . jika sudah tekan tombol ENTER , dan script Python akan dijalankan/eksekusi.. Untuk keluar dari Python shell ketik exit(). Visual Studio code pakai bahasa apa?Visual Studio Code merupakan penyunting kode-sumber yang dapat digunakan untuk beragam bahasa pemrograman, termasuk Java, JavaScript, Go, Node.js, Python dan C++.
Langkah awal Belajar Python?Tips Belajar Python dengan Cepat. Pahami dulu dasar bahasa pemrograman. Ada beberapa aspek penting terkait apa saja yang harus kamu pelajari dari sebuah bahasa pemrograman. ... . Kuasai Bahasa Inggris. ... . Mulai belajar sekarang. ... . 4. Coba buat program sederhana. ... . Learning by doing.. Bagaimana cara run di VSCode?Pertama, buka command palette dengan menekan tombol F1 atau Ctrl + Shift + P . Kemudian ketik run code , lalu enter. Kedua, gunakan shortcut Ctrl + Alt + N . Dan yang terakhir, cukup klik kanan pada workspace kalian, dan pilih Run Code.
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