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. It's highly customizable to support your classroom the way you like to teach.Can you learn Python on 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.How to install Python module on Visual Studio Code? ›
- Open the Marketplace by clicking the Extensions tab on the VS Code activity bar.
- Search for “Python” in the search bar.
- Select the extension named “Python” and then click Install.
Python support in Visual Studio on Windows
Summary of Python features in Visual Studio, making it the best Python IDE on Windows (also known as Python Tools for Visual Studio, PTVS).
Visual Studio is a powerful IDE for Python language through its built in Python Development and Data Science workloads. Python is a popular, easy to learn, free to use programming language with many free libraries.What's the difference between Visual Studio and Visual Studio code? ›
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.How do you run a simple Python code? ›
The most basic and easy way to run a Python script is by using the python command. You need to open a command line and type the word python followed by the path to your script file like this: python first_script.py Hello World! Then you hit the ENTER button from the keyboard, and that's it.How to build Python in Visual Studio? ›
- In Visual Studio, select File > New > Project (Ctrl+Shift+N), which brings up the New Project dialog. ...
- To view Python templates, select Installed > Python on the left, or search for "Python". ...
- Select the Python Application template, specify a name for the project, and select OK.
You can create a Jupyter Notebook by running the Create: New Jupyter Notebook command from the Command Palette (Ctrl+Shift+P) or by creating a new .ipynb file in your workspace.How to install Python environment in Visual Studio? ›
Right-click Python Environments in Solution Explorer and select Add Environment. In the Browse dialog that appears, navigate to and select the folder that contains the virtual environment, and select OK. If Visual Studio detects a requirements. txt file in that environment, it asks whether to install those packages.
Launch Visual Studio 2022 and in the start window, select Open at the bottom of the Get started column. Alternately, if you already have Visual Studio running, select the File > Open > Folder command instead. Navigate to the folder containing your Python code, then choose Select Folder.How to create module in Visual Studio Code? ›
- In Visual Studio, open or create a SharePoint project. ...
- In Solution Explorer, choose the project node, and then, on the menu bar, choose Project > Add New Item. ...
- In the list of SharePoint templates, choose the Module template, and then choose the Add button. ...
- Under Module1, delete the Sample.
The two most popular IDEs for beginner Python developers are IDLE and Pythonista. IDLE is a very simple IDE included with the Python standard library, and Pythonista is a more full-featured IDE that consists of a code editor, debugger, and interactive shell.Is it better to use PyCharm or VS Code? ›
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.Is VS Code better than PyCharm? ›
PyCharm is the way to go if you want a powerful, focused, and well-configured Python development environment. However, VS Code is preferred if you want something lightweight with the ability to customize. Both are excellent tools that, depending on how you choose to utilize them, can be used for a variety of tasks.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.What are the disadvantages of VS Code? ›
Cons: Memory & CPU usage. VS code uses lots of CPU & RAM. Because it is built using Electron which is simply a web framework.How do I start coding in VS 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.
Atom, Visual Studio, Eclipse, IntelliJ IDEA, and WebStorm are the most popular alternatives and competitors to Visual Studio Code. Everyone errs. Make sure your application doesn't. Everyone errs.Why is Visual Studio Code so popular? ›
Robust and extensible architecture
NumPy (Numerical Python) is an open source Python library that's used in almost every field of science and engineering. It's the universal standard for working with numerical data in Python, and it's at the core of the scientific Python and PyData ecosystems.Can I use NumPy in Visual Studio code? ›
Steps to install numpy in Visual Studio Code
You will find it on the left side of the window. Step 2: Go to the search bar and type Python. There you will see the Python by Mircosoft. Step 3: Click on the install button to install.
If you're only interested in debugging a Python script, the simplest way is to select the down-arrow next to the run button on the editor and select Debug Python File in Terminal.How do I write my first Python code? ›
To create your first Python file, navigate to the folder that you would like to create your file in and create a file called test.py. Next, open this file up in a text editor and type in the following code: print("Hello, World!") Save your file, and in the terminal, navigate to the file's location.How easy is Python for beginners? ›
No, Python isn't hard to learn for most people. In fact, Python is considered one of the easiest programming languages to learn. While anyone can learn Python programming — even if you've never written a line of Python code before — you should expect that it will take time, and you should expect moments of frustration.How to write Hello World in Python? ›
How do you write hello world python? The easiest way to display anything on the output screen in the python programming screen is by using the print() function. To print hello world, we can design a python hello world program that will print “Hello world” to the output screen using the print() function.How to make a GUI in Python Visual Studio? ›
In python we create GUI using tkinter module, tkinter has some functions for creating GUI and setting properties of our windows form. Now all functions of tkinter are imported and ready to use. Firstly we are creating an instance of tkinter. Now instance is created and gives title and dimensions to our windows form.Where can I write Python code? ›
Python code files can be created with any plain text editor. If you are new to Python programming, you can try Sublime Text, which is a powerful and easy-to-use editor, but you can use any editor you like.What is the difference between Python and Jupyter Notebook? ›
While a regular Python script has to reload the entire dataset on each execution, a Jupyter Notebook lets you run the cell responsible for loading the data once. You can then create new cells to work with the data without ever needing to reload it.
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.Is Jupyter a Python IDE? ›
Jupyter Notebook is probably the first Python IDE we used for data science. Its simplicity makes it great for beginners, but whenever you need some advanced functionality, you'll see that Jupyter Notebook has a lot of limitations.How to read excel file in Python using Visual Studio Code? ›
- Get rid of all but one Python installation.
- Install pandas on the VS Code installed python instance.
- Configure the same installation of python that is referenced by your command prompt. ( choose the correct python interpreter from VS Code Command Palette)
To install Pandas using pip, enter pip install pandas or pip3 install pandas in the terminal or command line. To install Pandas using conda, execute the following command on a terminal or command line: conda install pandas. ImportError usually arises when the Python working environment doesn't recognize pandas.How to install numpy in Python? ›
- It will show the location and numpy version installed.
- Python is pre-installed on Ubuntu computers. ...
- Type command apt install python-pip python-pip3.
- Type command pip install numpy.
- Conda is an open-source environment and package system.
Open Visual Studio Code. Click on View -> Extensions menu option. Inside the “Search Extensions” text field, please type “Python” to display the list of extensions for Python. Please select the Python extension from Microsoft and Install.How do I enable environment in Python code? ›
- On Unix or MacOS, using the bash shell: source /path/to/venv/bin/activate.
- On Unix or MacOS, using the csh shell: source /path/to/venv/bin/activate.csh.
- On Unix or MacOS, using the fish shell: source /path/to/venv/bin/activate.fish.
Go to settings in your VS-Code typing “Ctrl + ,” or clicking at the gear on the bottom left and selecting “Settings [Ctrl+,]” option. Type “format on save” at the search bar on top of the Settings tab and check the box.How to install library in Python? ›
Any Python library can be installed manually in just one step using the command: python3 <FILE_NAME>. py install. The command pip install package_name is used in Python to install libraries using scripts. Programmers can also use the pip command to uninstall Python libraries.How to install packages in VS Code? ›
- Open your project workspace in VSCode.
- Open the Command Palette (Ctrl+Shift+P)
- Select > Nuget Package Manager GUI.
- Click Install New Package.
To open the Visual Studio Installer, choose Tools, and then choose Get Tools and Features.... Then install the Visual Studio extension development workload.What are modules in VS Code? ›
These modules are designed to walk you through step-by-step to set up your work environment or finish a small project, all while familiarizing you with the VS Code interface.How do I build in Visual Studio? ›
In Solution Explorer, choose or open the project. On the menu bar, choose Build, and then choose either Build ProjectName or Rebuild ProjectName. Choose Build ProjectName to build only those project components that have changed since the most recent build.Why use PyCharm or VS Code? ›
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.What is Visual Studio code used for? ›
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. An IDE is a robust tool for writing, editing, debugging, and running your code.Is PyCharm good for beginners? ›
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.Which of the Python IDE is better for coding and why? ›
Bifurcation Based on Experience Level and End Goal
The most popular IDEs for experienced Python developers are PyCharm and Visual Studio Code. PyCharm is a full-featured IDE that offers many features, including code completion, code navigation, refactoring, and debugging.
Pros and Cons
"The only con to Visual studio is its User interface as it becomes very boring to code on an interface which has no plugins and drag and drops options."
One of the key features of Visual Studio Code is its great debugging support. VS Code's built-in debugger helps accelerate your edit, compile, and debug loop.
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.How do I run a Python code? ›
To run Python scripts with the python command, you need to open a command-line and type in the word python , or python3 if you have both versions, followed by the path to your script, just like this: $ python3 hello.py Hello World! If everything works okay, after you press Enter , you'll see the phrase Hello World!