WelcomeAre you completely new to programming?If not then we presume you will be looking for information aboutwhy and how to get started with Python.Fortunately anexperienced programmer in any programming language (whatever it may be)can pick up Python very quickly.It's also easy for beginners to use and learn, sojump in!
Installing Python is generally easy, and nowadaysmany Linux and UNIX distributions include a recent Python.Evensome Windows computers (notably those from HP) now come with Pythonalready installed.If you do need to install Python and aren't confident about thetask you can finda few notes on theBeginnersGuide/Downloadwiki page, but installation is unremarkable on most platforms.
Before getting started, you may want to find out which IDEs and texteditors are tailored to makePython editing easy, browse the list of introductory books, or look at code samples that you might findhelpful.
There is a list of tutorials suitable for experienced programmers on theBeginnersGuide/Tutorialspage. There is also a list ofresources in other languageswhich might be useful if English is not your first language.
The online documentationis your first port of call for definitive information.There is a fairly brieftutorialthat gives you basic information about the language andgets you started. You can follow this by looking at thelibrary referencefor a full description of Python's many libraries and thelanguage reference fora complete (though somewhat dry) explanation of Python's syntax.If you are looking for common Python recipes and patterns, youcan browse the ActiveState Python Cookbook
If you want to know whether a particular application, or a librarywith particular functionality, is available in Python there are anumber of possible sources of information. The Python web siteprovides aPython Package Index(also known as the Cheese Shop, a reference to the Monty Pythonscript of that name).There is also asearch page for a number of sources of Python-relatedinformation. Failing that, justGoogle for a phrase including the word ''python''and you may well get the result you need.If all else fails, ask on thepython newsgroupand there's a good chance someone will put you on the right track.
If you want to help to develop Python, take a look at thedeveloper area for further information.Please note that you don't have to be an expert programmerto help. The documentation is just as important as thecompiler, and still needs plenty of work!
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.
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.
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.
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.
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 (*).
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.
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.
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.:
Next, set a breakpoint on line 2 of hello.py by placing the cursor on the print call and pressing F9. Alternately, click in the editor's left gutter, next to the line numbers. When you set a breakpoint, a red circle appears in the gutter.
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.
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.
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.
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.
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.
Tip: Use Logpoints instead of print statements: Developers often litter source code with print statements to quickly inspect variables without necessarily stepping through each line of code in a debugger. In VS Code, you can instead use Logpoints. A Logpoint is like a breakpoint except that it logs a message to the console and doesn't stop the program. For more information, see Logpoints in the main VS Code debugging article.
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.
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.
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.
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!
I just downloaded the latest version of python from
python.org. During installation I ticked every box to ensure nothing was missing, PIP, IDLE etc. I wanted the full package to get started. I had some books to work from.
Note: A Hello World! program includes the basic syntax of a programming language and helps beginners understand the structure before getting started. That's why it is a common practice to introduce a new language using a Hello World! program.
For beginners who are new to Python, we recommend you install Python from the Microsoft Store. Installing via the Microsoft Store uses the basic Python3 interpreter, but handles set up of your PATH settings for the current user (avoiding the need for admin access), in addition to providing automatic updates. This is especially helpful if you are in an educational environment or a part of an organization that restricts permissions or administrative access on your machine.
If you are using Python on Windows for web development, we recommend a different set up for your development environment. Rather than installing directly on Windows, we recommend installing and using Python via the Windows Subsystem for Linux. For help, see: Get started using Python for web development on Windows. If you're interested in automating common tasks on your operating system, see our guide: Get started using Python on Windows for scripting and automation. For some advanced scenarios (like needing to access/modify Python's installed files, make copies of binaries, or use Python DLLs directly), you may want to consider downloading a specific Python release directly from
python.org or consider installing an alternative, such as Anaconda, Jython, PyPy, WinPython, IronPython, etc. We only recommend this if you are a more advanced Python programmer with a specific reason for choosing an alternative implementation.
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