In this tutorial, you'll use Python 3 to create a simple "Hello World" Python application in Visual Studio Code. ThroughPython-extension, turn your VS code into a great, lightweight Python editor.
In this tutorial, you'll learn about VS Code for Python development, specifically how to edit, run, and debug code with the following tasks:
- Write, run, and debug a "Hello World" application in Python
- Learn how to install packages by creating Python virtual environments
- Write a simple Python script to plot numbers in VS Code
This tutorial is not intended to teach you Python itself. Once you learn the basics of VS Code, you can do anything fromprogramming instructions at python.orgunder VS Code for an introduction to the language.
If you have problems, you can search the page for an answer or ask a questionPython Extensions Discussions Questions and Answers.
To successfully complete this tutorial, you must first set up your Python development environment. Specifically, this guide requires:
- Python 3
- Code VS
- Python extension of VS code
Install Visual Studio Code and the Python extension
If you haven't already, install itCode VS.
Then installPython extension for VS Codefrom the Visual Studio Marketplace. For more information about installing extensions, seeexpansion market. The name of the Python extensionPythonand is published by Microsoft.
Install the Python interpreter
With the Python extension, you must install the Python interpreter. Choosing a translator depends on your specific needs, but here are some guidelines.
installPython used python.org. You can usually useDownload Pythonbutton that appears first on the page to download the latest version.
Remark: If you don't have administrative access, an additional option to install Python on Windows is to use the Microsoft Store. The Microsoft Store offers installationssupported versions of python.
For more information about using Python on Windows, seeUsing Python on Windows at Python.org
Mac operating system
Installing Python on macOS is not supported. Instead, a package management system such asDomestic brewingit is recommended. Use to install Python with Homebrew on macOS
brew install python3u de Terminal-prompt.
RemarkOn macOS, make sure the VS Code installation location is included in the PATH environment variable. Seethese installation instructionsFor more information.
The built-in installation of Python 3 on Linux works fine, but to install other Python packages, you'll need to install them
Data science: If your primary purpose of using Python is Data Science, consider downloading sHe liked it. Anaconda provides not only a Python interpreter, but also many useful data science libraries and tools.
Windows Subsystem for Linux: If you use Windows and need a Linux environment to work with Python,Windows Subsystem for Linux(WSL) is the option for you. If you choose this option, you will also want to installWSL-extension. For more information on using WSL with VS Code, seeRemote development of VS codeor try toRad the WSL Tutorialwhich walks you through configuring WSL, installing Python, and creating a Hello World application that runs on WSL.
Check your Python installation
To verify that Python has been successfully installed on your computer, run one of the following commands (depending on your operating system):
Linux/macOS: open a terminal window and type the following command:
Windows: Open a command prompt and run the following command:(Video) Learn Python 3: Visual Studio Code for Beginners
If the installation was successful, the launch window should show the installed version of Python.
RemarkYou can use
py-0command in VS Code's integrated terminal to view the versions of python installed on your computer. The default interpreter is marked with an asterisk (*).
Run VS Code in the workspace folder
Running VS code in a folder makes that folder your "workspace". VS Code stores settings specific to this workspace
.vscode/settings.jsonwhich are independent of globally saved user settings.
Using the command line or terminal, create an empty directory called "hello", navigate to it, and open VS Code (
to code) in this folder (
.) by entering the following commands:
hello thereCDHelloto code.
Remark: If you're using Anaconda, make sure you're using Anaconda's command line.
Alternatively, you can launch VS Code from the operating system's user interface and then use itFile > Open Folderto open the project folder.
Select the Python interpreter
Python is an interpreted language. So to run python code and get python intellisense, you need to tell VS Code which interpreter to use.
From VS Code, select the Python 3 interpreter by opening the fileCommand palette(⇧⌘str(Windows, LinuxCtrl+Shift+P)), start typingPython: Choose an interpretersearch, and then select a command. You can also use the so-calledSelect the Python environmentoption in the status bar, if available (it may also already show the selected translator):
The command presents a list of available interpreters that VS Code can find automatically, including virtual environments. If you don't see the translator you want, take a lookSet up Python environments.
Remark: When using the Anaconda distribution, the correct interpreter must have a suffix
("osnova": conda), For example
Python 3.7.3 64-bit ("base":conda).
Interpreter selection determines which interpreter the Python extension will use for that workspace.
Remark: If you select an interpreter without an open workspace folder, VS code
python.defaultInterpreterŚcieżkainstead of at the user scope which is generally set by the default VS code interpreter. The user setting ensures that you always have a default interpreter for python projects. Workspace settings allow you to override user settings.
Create a Python Hello World source code file
Select the file from the Explorer toolbarnew filebutton on
Give the file a name
hoi.pyand it will automatically open in the editor:
.pyfile, you tell VS Code to interpret that file as a Python content evaluator with a Python extension and interpreter of your choice.
Remark: The File Explorer toolbar also lets you create folders in your workspace to better organize your code. You can useNew cardbutton to quickly create a folder.
Now that you have the code file in your workspace, enter the following source code
message ="Hello World"to print(message)
When you start writing
to print, notice howIntelliSensepresents auto-completion options.
IntelliSense and auto-completion work with standard Python modules and other packages installed in the chosen Python interpreter environment. It also provides completions of methods available for object types. For example because
messagevariable contains a string, IntelliSense provides string methods as you type
You can experiment a bit more with IntelliSense, but then undo the changes
to printcall and save the file (⌘S(Windows, LinuxCtrl+S)).
For more information on editing, styling, and refactoring, seeEdit the code. The Python extension also has full support forfight.
Start Hello World
It is easy to use
hoi.pywith Python. Just clickRun the python file in the terminalthe play button in the upper right corner of the editor.
The button opens a terminal panel where your python interpreter is automatically activated and then run
python3 halo.py(macOS/Linux) lub
There are three other ways to run Python code in VS Code:
Right-click anywhere in the editor window and selectRun the python file in the terminal(which automatically saves the file):
Select one or more lines, then pressShift+Enteror right-click and selectExecute the selection/rule in python terminal. This command is useful for testing only part of a file.
From the command palette (⇧⌘str(Windows, LinuxCtrl+Shift+P)), ChoosePython: Run REPLcommand to open a terminal REPL for the currently selected python interpreter. In the REPL, you can then enter and execute lines of code one by one.
Configure and run the debugger
Now let's try to debug our simple Hello World program.
First set a breakpoint on line 2
hoi.pyplacing the cursor on
to printcall and pressF9. Or just click on the left pane of the editor, next to the line numbers. When a breakpoint is set, a red circle appears in the margin.
Then press to run the debuggerF5. Since this is the first time you are debugging this file, a configuration menu opens from the command palette where you can select the type of configuration to debug for the open file.
Remark: VS Code uses JSON files for all its various configurations;
run.jsonis the default name of the debug configuration file.
These different configurations are fully explained inDebugging configurations; just choose nowpython zaliha, which is a configuration that executes the current file displayed in the editor using the currently selected Python interpreter.
You can also start the debugger by clicking the down arrow next to the run button in the editor and selectingDebug the python file in the terminal.
The debugger stops at the first line of the file breakpoint. The current row is marked with a yellow arrow in the left margin. If you are researchingLocalthe variables window at this point will now see defined
messagethe variable appears in theLocalglas.
The Debug toolbar appears at the top with the following commands from left to right: continue (F5), krok nad (F10), Enter (F11), Exit (⇧F11(Windows, LinuxShift+F11)), restart (⇧⌘F5(Windows, LinuxCtrl+Shift+F5)), and stand (⇧F5(Windows, LinuxShift+F5)).
The status bar also changes color (orange in many themes) to indicate that you are in debug mode. ThePython Debug consoleit also automatically appears in the lower right pane to display the commands that are executed along with the program output.
To continue running the program, select Continue on the Debug toolbar (F5). The debugger runs the program to the end.
AdviceDebug information can also be viewed by hovering over code such as variables. In case of
message, when you hover over a variable, a string of characters is displayed
Hello worldin the box above the variable.
You can also work with u variablesDebug console(If you don't see it, select itDebug consolein the lower right of the VS code or select it...menu.) Then try entering the following lines one by one, w>query at the bottom of the console:
Choose blueBuckle upagain on the toolbar (or press F5) to run the program to the end. "Hello World" appears in thePython Debug consoleif you go back to it and VS Code exits debug mode after the program exits.
If you restart the debugger, it will stop at the first breakpoint.
To stop the program before it finishes, use the red square stop button on the debug toolbar (⇧F5(Windows, LinuxShift+F5)) or usedStart > Stop met foutopsporingmenu command.
See for detailsDebugging configurations, which contains notes on using a particular Python interpreter for debugging.
Tip: Use points to log in instead of printing statements: Developers often make source code cluttered
to printinstructions for quickly viewing variables without going through each line of code in the debugger. In VS Code you can use this insteadPoints to apply. A log point is similar to a breakpoint, except that it logs a message to the console and does not stop the program. For more information seePoints to applyin the main VS Code Debugging article.
Install and use packages
Now let's look at an example that is a little more interesting. In Python, packages are a way to get any number of usable code libraries, usually from themPyPI. In this example, use
numberpackages for creating graphical charts, as is often the case in data science. (Notice this
matplotlibcannot display graphs during operationWindows Subsystem for Linuxbecause it doesn't have the necessary UI support).
Back totrackerview (top left icon showing files), create a new file named
standard graph.pyand paste the following source code:
importmatplotlib.pyplotHowpltimportnumberHownpx = np.linspatie(0,20,100)# Create a list of evenly spaced numbers in a rangeplt.plot(x, np.sin(x))# Draw the sine of each point xplt.show()# View the graph
Advice: If you enter the above code manually, the autocompletes can be renamed after this
Howkeywords when pressedA nurseat the end of the line. Enter a space to avoid thisA nurse.
Then try running the file in the debugger using the "Python: current file" configuration, as described in the last section.
Unless you are using the Anaconda distro or have it pre-installed
matplotlibpackage, you should see a message,"ModuleNotFoundError: No module named "matplotlib"". Such a message means that the requested package is not available on your system.
matplotlibpackage (which also installs
numberas a dependency), stop the debugger and use the command palette to launch itTerminal: Create a new terminal(⌃⇧`(Windows, LinuxCtrl+Shift+`)). This command opens a command prompt for the selected interpreter.
A best practice among Python developers is to avoid installing packages in the global interpreter environment. Use project-specific instead
virtual environmentwhich contains a copy of the global interpreter. Once this environment is activated, all installed packages are isolated from other environments. This isolation reduces many of the complications that can arise from conflicting package versions. to createvirtual environmentand install the required packages, enter the following commands appropriate for your operating system:
Remark: For additional information on virtual environments, seeEnvironment.
Create a virtual environment using the Create Environment command
From within VS Code, you can create non-global environments with Venv or Anaconda by opening the command palette (⇧⌘str(Windows, LinuxCtrl+Shift+P)), start typingPython: Creating an environmentsearch, and then select a command. You can also callPython: Creating an environmentcommand on the Getting Started with Python page.
The command presents a list of environment types, Venv or Conda. Select in this exampleVenv.
The command then lists the compilers that can be used in the project.
After selecting the desired interpreter, a notification shows the progress of environment creation and an environment folder appears in your workspace.
The command also installs the necessary packages described in the requirements/dependencies file, such as
environment.yml, in the project folder.
Remark: If you want to create an environment manually or encounter an error while creating an environment, please visit the pageEnvironmentkant.
Make sure the new environment is selected using the filePython: Choose an interpreterfrom regulationCommand palette.
Install the packages
# Do not use with Anaconda distributions as they already include matplotlib.# Mac operating systempython3 -m pip instalater matplotlib# Windows (may require booting)py -m pip install matplotlib#Linux (Debian)apt-get install python3-tkpython3 -m pip instalater matplotlib
Now run the program again (with or without the debugger) and after a few moments the result window will appear:
When you're done, type
deactivatein the terminal window to deactivate the virtual environment.
For more examples of creating and activating a virtual environment and installing packages, seeThe Django GuideandFlask Tutorial.
You can configure VS Code to use any installed Python environment, including virtual and conda environments. You can also use a separate debugging environment. See for detailsEnvironment.
Follow one of the to learn more about Pythonprogramming lessonslisted on python.org in the context of VS Code.
Check out the following tutorials to learn how to develop web applications using the Django and Flask frameworks:
- Using Django in Visual Studio Code
- Using Flask in Visual Studio Code
So there's a lot more to explore in Python in Visual Studio Code:
- Python profile template- Make new onesprofilewith a select set of extensions, settings and code snippets
- Edit the code- Learn about auto-completion, IntelliSense, formatting and refactoring in Python.
- fight- Activate, configure and deploy various python linters.
- Debugowanie- Learn to debug Python both locally and remotely.
- Test- Set up test environments and discover, run and debug tests.
- Item reference- Explore the full range of Python-related settings in VS Code.
- Implementirajte Python u Azure App Service
- Deploy Python in containerized applications
Visual Studio Code is a free source code editor that fully supports Python and useful features such as real-time collaboration.Is Visual Studio code good for Python? ›
VS Code comes with great debugging support for Python, allowing you to set breakpoints, inspect variables, and use the debug console for an in-depth look at how your program is executing step by step. Debug a number of different types of Python applications, including multi-threaded, web, and remote applications.Can you learn Python on Visual Studio? ›
Visual Studio provides first-class language support for Python.Should I learn Python the hard way or head first Python? ›
If you're tired of reading Python how-to manuals, Head-First Python is the way to go! This book is a brain-friendly guide (as the title suggests), and it uses a more visual format to stimulate your brain rather than a text-heavy approach, which can quickly become boring.Which Visual Studio should I use for Python? ›
The Visual Studio integrated development environment is a creative launching pad for Python (and other languages) that you can use to edit, debug, and test code, and then publish an app.What is the difference between Visual Studio and Visual Studio Code for Python? ›
Visual Studio vs Visual Studio Code - Differences
Visual Studio is an Integrated Development Environment, also known as an IDE. Visual Studio Code is a code editor. A developer can easily edit their code. VS is slower when it comes to performing across different platforms.
Visual Studio Code has a larger extension ecosystem, thus making it more customizable and versatile. PyCharm has a smaller ecosystem, but it comes with more features. VS Code has IntelliSense to save you from typing. In addition, it has a GitHub CoPilot extension that makes coding faster.How do I start programming in Visual Studio Code? ›
- Download and install VS Code.
- Create a new file.
- See an overview of the user interface.
- Install support for your favorite programming language.
- Change your keyboard shortcuts and easily migrate from other editors using keymap extensions.
- Customize your editor with themes.
PyCharm boasts more features, such as a debugger, profiler, and test runner that come standard, while VS Code requires extensions to access these tools. PyCharm is a commercial product and requires a paid license for full functionality, while VS Code is open-source and free to use.Can I use Visual Studio for machine learning? ›
Custom machine learning models in Visual Studio
Model Builder supports AutoML, which automatically explores different machine learning algorithms and settings to help you find the one that best suits your scenario.
You can manually specify the path to the conda executable to use for activation (version 4.4+). To do so, open the Command Palette (Ctrl+Shift+P) and run Preferences: Open User Settings. Then set python.condaPath , which is in the Python extension section of User Settings, with the appropriate path.What should I learn first before Python? ›
Understanding the complexities of OOP, Decorators, Generators, Multithreading, Exception Handling, Regular Expressions, Async/Await, Functional Programming, Meta-Programming, and Network Programming in Python. These are arguably the most difficult concepts to learn with Python.What is the best age to learn Python? ›
Even though Python is the best programming language for a kid to begin with, we would recommend kids aged 12 or above to start learning Python programming/ coding as they would be able to understand computational thinking and algorithms in a better way.How many hours a day to learn Python? ›
How Many Hours Does it Take to Learn Python? If you're a beginner and you want to learn Python in two months or less, you would need to devote a full-time schedule to learning Python. If you spend 40 hours a week learning Python, it could ultimately take around 250 hours to fully develop your Python skills.How long would it take for a beginner to learn Python? ›
In general, it takes around two to six months to learn the fundamentals of Python. But you can learn enough to write your first short program in a matter of minutes. Developing mastery of Python's vast array of libraries can take months or years.Is Python easy for non programmers? ›
If you are a non-programmer, Python could be your starting point as it is on the top of the top programming languages of the 2023 list and is also the easiest to learn. If you know any other programming languages, learning Python will be a breeze for you.Do I need to install Python before Visual Studio? ›
Visual Studio automatically detects existing Python installations. See The Python Environments window. Also, if a newer version of Python is available than what's shown in the installer, you can install that version separately and Visual Studio will detect it.Which is better Anaconda or Visual Studio Code? ›
Anaconda is an open source Python distribution / data discovery & analytics platform. Visual Studio (now in the 2022 edition) is a 64-bit IDE that makes it easier to work with bigger projects and complex workloads, boasting a fluid and responsive experience for users.What is the best Python IDE for deep learning? ›
PyCharm is one of the best Python IDE for machine learning. It is a powerful IDE that provides a range of useful features for machine learning development. It has a great code editor with features like code completion, syntax highlighting, and error checking.
The first really great feature that comes with VS Code is the Intelligence auto-completion. The editor can display member lists, method docstrings, and parameter hints. Another feature, useful for keeping track of the variables that live in memory is the variable explorer and data viewer.What is the difference between Jupyter notebook and Visual Studio Code? ›
Jupyter Notebooks in VS Code. Jupyter (formerly IPython Notebook) is an open-source project that lets you easily combine Markdown text and executable Python source code on one canvas called a notebook. Visual Studio Code supports working with Jupyter Notebooks natively, and through Python code files.Is Visual Studio Code same as Visual Studio professional? ›
“Visual Studio” and “Visual Studio Code” are not the same thing. Visual Studio is an integrated development environment (IDE) and Visual Studio Code is a rich text editor like Sublime Text and Atom. But the difference between the tools is more than just IDE and text editor.Is VS Code beginner friendly? ›
While you are welcome to use whatever code editor works best for you, Visual Studio Code (or “VS Code”) is a popular option because it is fairly beginner-friendly, but still a very powerful tool once you familiarize itself with all its bells and whistles.Should I install PyCharm or Python first? ›
To start developing in Python with PyCharm you need to download and install Python from python.org depending on your platform. PyCharm supports the following versions of Python: Python 2: version 2.7.Which Python version is best for coding? ›
Although Python 2 has its merits, learning Python 3 is more advantageous, especially for beginning developers. The following are the top reasons why you should learn Python 3. Python 3 improves AI, machine learning, and data science support.How do I choose a programming language in VS Code? ›
However, at times you may want to change language modes, to do this click on the language indicator - which is located on the right hand of the Status Bar. This will bring up the Select Language Mode dropdown where you can select another language for the current file.What programming language is Visual Studio code written in? › What languages can you code in Visual Studio? ›
At its heart, Visual Studio Code features a lightning fast source code editor, perfect for day-to-day use. With support for hundreds of languages, VS Code helps you be instantly productive with syntax highlighting, bracket-matching, auto-indentation, box-selection, snippets, and more.
It makes Python development accessible to those who are new to the world of software programming. PyCharm Community Edition is excellent for developers who wish to get more experience with Python.Is Visual Studio best for programming? ›
Visual studio IDE is very powerful with a range of features and a fairly user friendly interface. It supports multiple programming languages and is a must have tool for developers who require a robust development environment.Can companies use Visual Studio Code? ›
Yes, VS Code is free for private or commercial use. See the product license for details.Does Visual Studio use a compiler or interpreter? ›
Compiled programming language
your program will run. In this circumstance, C++ is a compiled language, Visual Studio is the compiler and Windows is the OS; such brief progress is as below: Write C++ codes in Visual Studio and press F5. Visual Studio then translates .
Visual Studio Code has a larger extension ecosystem, thus making it more customizable and versatile. PyCharm has a smaller ecosystem, but it comes with more features. VS Code has IntelliSense to save you from typing. In addition, it has a GitHub CoPilot extension that makes coding faster.Should a beginner learn C or Python? ›
The syntax of C is harder than Python. Easy syntax. Python makes it easier to develop code because the number of lines is less. In Python, memory management is handled automatically by the Garbage Collector.Should a beginner start with Python or Java? ›
If you're just beginning to learn how to code, you might want to start by learning Python because many people learn it faster. It's simple and more concise, while Java has more lines of complex code.How long does it take to learn Visual Studio Code? ›
How Long Does It Take to Learn Visual Studio? If you have some programming experience and have used at least a code editor before, you can learn Visual Studio in one to two months. This assumes that you are using Visual Studio regularly in your daily development work.How long should I code as a beginner? ›
Most coders agree that it takes three to six months to be comfortable with the basics of coding. But you can learn coding faster or slower depending on your preferred pace.Why is VS Code so much better than Visual Studio? ›
All the web technologies VS Codes use Electron Framework in the end, meaning the applications built through VS Code are lean and seamless when updating them. VS Code is comparatively much faster than Visual Studio. It can boot up faster when compared to IDE. Visual Studio Code is incredibly flexible.
Some common code editors for Python include Atom, Sublime Text, and Visual Studio Code. Python interpreters have an irreplaceable place in the python environment. The Python interpreter is a program that runs Python code. It can be used to run code interactively or to run code from a file.Which code editor is better than VS Code? ›
SlickEdit provides software developers with the multi-language, multi-platform code-editing capabilities they need to write better code, faster. Categories in common with Visual Studio Code: Text Editor.What is the hardest programming language to learn? ›
Malbolge. This language is so hard that it has to be set aside in its own paragraph. Malbolge is by far the hardest programming language to learn, which can be seen from the fact that it took no less than two years to finish writing the first Malbolge code.Can I learn Python in a month? ›
In general, it takes around two to six months to learn the fundamentals of Python. But you can learn enough to write your first short program in a matter of minutes. Developing mastery of Python's vast array of libraries can take months or years.Can I learn Python without any programming experience? ›
Yes, you can learn Python without any programming experience. In fact, Python is so popular in part because of its easy-to-use, intuitive nature. For people without any coding experience at all, Python is actually considered the perfect programming language.Which pays more Java or Python? ›
2. Python vs Java Developer Salary Comparison. As per the 2021 Stack Overflow Survey, professional Java developers earn $51,888/year globally, whereas dedicated Python developers earn $59,454k/year globally.Is it worth to learn Python in 2023? ›
In conclusion, learning Python is a must in 2023 for many reasons. It is a versatile language that can be used for a variety of tasks, from web development to data science. It is also easy to learn and has a large community of developers who can help you out.What coding language should I learn after Python? ›
Web Development Basics