The python path in your debug configuration is invalid visual studio code ошибка
In this tutorial, you use Python 3 to create the simplest Python "Hello World" application in Visual Studio Code. By using the Python extension, you make VS Code into a great lightweight Python IDE (which you may find a productive alternative to PyCharm).
This tutorial introduces you to VS Code as a Python environment, primarily how to edit, run, and debug code through the following tasks:
- Write, run, and debug a Python "Hello World" Application
- Learn how to install packages by creating Python virtual environments
- Write a simple Python script to plot figures within VS Code
If you have any problems, feel free to file an issue for this tutorial in the VS Code documentation repository.
Prerequisites
To successfully complete this tutorial, you need to first setup your Python development environment. Specifically, this tutorial requires:
- VS Code
- VS Code Python extension
- Python 3
Install Visual Studio Code and the Python Extension
If you have not already done so, install VS Code.
Next, install the Python extension for VS Code from the Visual Studio Marketplace. For additional details on installing extensions, see Extension Marketplace. The Python extension is named Python and it's published by Microsoft.
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
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 Python 3.7, Python 3.8, Python 3.9, and Python 3.10. Be aware that you might have compatibility issues with some packages using this method.
macOS
The system install of Python on macOS is not supported. Instead, an installation through 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 Remote - 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.
Verify the Python installation
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:
Windows: open a command prompt and run the following command:
If the installation was successful, the output window should show the version of Python that you installed.
Note 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 (*).
Start VS Code in a project (workspace) folder
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:
Note: If you're using an Anaconda distribution, be sure to use an Anaconda command prompt.
By starting VS Code in a folder, that folder becomes your "workspace". VS Code stores settings that are specific to that workspace in .vscode/settings.json , which are separate from user settings that are stored globally.
Alternately, you can run VS Code through the operating system UI, then use File > Open Folder to open the project folder.
Select a Python interpreter
Python is an interpreted language, and in order to run Python code and get Python IntelliSense, you must tell VS Code which interpreter to use.
From within VS Code, select a Python 3 interpreter by opening the Command Palette ( ⇧⌘P (Windows, Linux Ctrl+Shift+P ) ), start typing the Python: Select Interpreter command to search, then select the command. You can also use the Select Python Environment option on the Status Bar if available (it may already show a selected interpreter, too):
The command presents a list of available interpreters that VS Code can find automatically, including virtual environments. If you don't see the desired interpreter, see Configuring Python environments.
Note: When using an Anaconda distribution, the correct interpreter should have the suffix ('base':conda) , for example Python 3.7.3 64-bit ('base':conda) .
Selecting an interpreter sets which interpreter will be used by the Python extension for that workspace.
Note: If you select an interpreter without a workspace folder open, VS Code sets python.defaultInterpreterPath in User scope instead, which sets the default interpreter for VS Code in general. The user setting makes sure you always have a default interpreter for Python projects. The workspace settings lets you override the user setting.
Create a Python Hello World source code file
From the File Explorer toolbar, select the New File button on the hello folder:
Name the file hello.py , and it automatically opens 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 :
When you start typing print , notice how IntelliSense presents auto-completion options.
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. :
Feel free to experiment with IntelliSense some more, but then revert your changes so you have only the msg variable and the print call, and save the file ( ⌘S (Windows, Linux Ctrl+S ) ).
For full details on editing, formatting, and refactoring, see Editing code. The Python extension also has full support for Linting.
Run Hello World
It's simple to run hello.py with Python. Just 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:
Right-click anywhere in the editor window and select Run Python File in Terminal (which saves the file automatically):
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.
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.
Configure and run the debugger
Let's now try debugging our simple Hello World program.
First, set a breakpoint on line 2 of hello.py by placing the cursor on the print call and pressing F9 . Alternately, just 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.
Note: VS Code uses JSON files for all of its various configurations; launch.json is the standard name for a file containing debugging configurations.
These different configurations are fully explained in Debugging configurations; for now, just select Python File, which is the configuration that runs the current file shown in the editor using the currently selected Python interpreter.
You can also start the debugger by clicking on the down-arrow next to the run button on the editor, and selecting Debug Python File in Terminal.
The debugger will 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 will see now defined 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 Hello world 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:
Select the blue Continue button on the toolbar again (or press F5) to run the program to completion. "Hello World" 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 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.
Install and use packages
Let's now run an example that's a little more interesting. In Python, packages are how you obtain any number of useful code libraries, typically from PyPI. For this example, you use the matplotlib and numpy packages to create a graphical plot as is commonly done with data science. (Note that matplotlib cannot show graphs when running in the Windows Subsystem for Linux as it lacks the necessary UI support.)
Return to the Explorer view (the top-most icon on the left side, which shows files), create a new file called standardplot.py , and paste in the following source code:
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, try running the file in the debugger using the "Python: Current file" configuration as described in the last section.
Unless you're using an Anaconda distribution or have previously installed the matplotlib package, you should see the message, "ModuleNotFoundError: No module named 'matplotlib'". Such a message indicates that the required package isn't available in your system.
To install the matplotlib package (which also installs numpy as a dependency), 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.
A best practice among Python developers is to avoid installing packages into a global interpreter environment. You instead use a project-specific virtual environment that contains a copy of a global interpreter. Once you activate that environment, any packages you then install are isolated from other environments. Such isolation reduces many complications that can arise from conflicting package versions. To create a virtual environment and install the required packages, enter the following commands as appropriate for your operating system:
Note: For additional information about virtual environments, see Environments.
Create and activate the virtual environment
Note: When you create a new virtual environment, you should be prompted by VS Code to set it as the default for your workspace folder. If selected, the environment will automatically be activated when you open a new terminal.
For Windows
If the activate command generates the message "Activate.ps1 is not digitally signed. You cannot run this script on the current system.", then you need to temporarily change the PowerShell execution policy to allow scripts to run (see About Execution Policies in the PowerShell documentation):
For macOS/Linux
Select your new environment by using the Python: Select Interpreter command from the Command Palette.
Install the packages
Rerun the program now (with or without the debugger) and after a few moments a plot window appears with the output:
Once you are finished, type deactivate in the terminal window to deactivate the virtual environment.
For additional examples of creating and activating a virtual environment and installing packages, see the Django tutorial and the Flask tutorial.
Next steps
You can configure VS Code to use any Python environment you have installed, including virtual and conda environments. You can also use a separate environment for debugging. For full details, see Environments.
To learn to build web apps with the Django and Flask frameworks, see the following tutorials:
The text was updated successfully, but these errors were encountered:
karthiknadig added area-environments Features relating to handling interpreter environments needs PR Ready to be worked on regression Bug didn't exist in a previous release labels Jun 2, 2020
dmorris0 commented Jan 3, 2021
I'm getting the same error in VSCode under WSL with Ubuntu 20.04. It used to work fine, but I installed Python 3.7, and now it can't find my interpreter. I even removed Python 3.7 and am getting this error.
dmorris0 commented Jan 3, 2021
Finally fixed the problem by uninstalling VSCode and reinstalling it. Now it can find the python interpreter.
scalavision commented Jan 6, 2021 •
I also encountered this, running the test from the file works fine, debugging the same test, vscode errors out with The Python path in your debug configuration is invalid , why isn't those paths the same as a default setting? Not sure I want to reinstall vscode atm. I can't find a way to set the pythonPath in the config. "pythonPath" shows up as not allowed .
How am I going to configure this?
karthiknadig commented Jan 6, 2021 •
@scalavision Can you share your debug configuration? Normally you don't have to set the pythonPath in the debug configuration, unless you want to run your code using a different python.
you can also use "python" to set a custom python path (default uses the selected python path):
scalavision commented Jan 6, 2021
I had wrong path to python interpreter in the user settings. When manually setting the path to the interpreter via the gui, to be used inside the dev container, it silently failed. I found it in the Python log output eventually. A popup for this error would have been very helpful 😅
VS Code version: 1.60.2
Extension version: v2021.9.1246542782
OS and version: Windows 10 Home and 20H2
Python version: 3.9.5150
Type of virtual environment used: N/A
Relevant/affected Python packages and their versions: N/A
Relevant/affected Python-related VS Code extensions and their versions: Pylance and Python; v2021.9.3and v2021.9.1246542782
Value of the python.languageServer setting: python.defaultInterpreterPath
Expected Behaviour:
Upon selecting the python interpreter from its specified location, It must run smoothly in the debugging as well as Standard Terminal.
Actual Behaviour:
Upon Selecting the python interpreter from its specified location, it keeps showing me “The python path in your debug configuration is invalid”
Solutions I have tried:
- Checking the environment variables
- Uninstalling and Reinstalling VS Code
- Uninstalling and Reinstalling Python
- Downgrading to an older version of python (the latest is 3.9.7)
- Using Ctrl+Shift+p
The text was updated successfully, but these errors were encountered:
abioz-aiz commented Sep 23, 2021 •
@karthiknadig I updated the original comment. Is there anything else I should add?
karthiknadig added area-debugging bug triage and removed triage-needed Needs assignment to the proper sub-team labels Sep 23, 2021
karthiknadig commented Sep 24, 2021
@abioz-aiz Can you share your launch.json?
abioz-aiz commented Sep 24, 2021 •
"version": "0.2.0",
"configurations": [
This is my launch.json
karthiknadig commented Sep 24, 2021
@abioz-aiz You don't have to set python there, it will always be set to selected interpreter automatically.
abioz-aiz commented Sep 26, 2021
Where? I didn't set any of the code there, except for the internalConsole .
karthiknadig commented Sep 27, 2021
When you see that error, it means that the python path being used some here is wrong, or the python itself is failing to launch. The logs should provide some clue on what is failing here.
abioz-aiz commented Oct 1, 2021
This is the output:
User belongs to experiment group 'pythonaacf'
User belongs to experiment group 'pythonJediLSP'
User belongs to experiment group 'pythonDiscoveryModuleWithoutWatcher'
User belongs to experiment group 'pythonTensorboardExperiment'
User belongs to experiment group 'PythonPyTorchProfiler'
User belongs to experiment group 'pythonDeprecatePythonPath'
User belongs to experiment group 'pythonSortEnvs'
User belongs to experiment group 'pythonRunFailedTestsButtonDisplayedcf'
User belongs to experiment group 'pythonRefreshTestsButtonDisplayed'
User belongs to experiment group 'pythonRememberDebugConfig'
Error 2021-10-01 15:46:41: readdir() failed for "C:\Users\jbaks\AppData\Local\Programs\Python\Python39\python.exe" (Error: ENOTDIR: not a directory, scandir 'C:\Users\jbaks\AppData\Local\Programs\Python\Python39\python.exe')
Error 2021-10-01 15:46:46: Invalid Python Path 'c:\Python39\python.exe'
Error 2021-10-01 15:46:55: readdir() failed for "C:\Users\jbaks\AppData\Local\Programs\Python\Python39\python.exe" (Error: ENOTDIR: not a directory, scandir 'C:\Users\jbaks\AppData\Local\Programs\Python\Python39\python.exe')
Starting Pylance language server.
Error 2021-10-01 15:46:57: readdir() failed for "C:\Users\jbaks\AppData\Local\Programs\Python\Python39\python.exe" (Error: ENOTDIR: not a directory, scandir 'C:\Users\jbaks\AppData\Local\Programs\Python\Python39\python.exe')
Error 2021-10-01 15:46:57: Diagnostic Code: InvalidPythonInterpreterDiagnostic, Message: No Python interpreter is selected. You need to select a Python interpreter to enable features such as IntelliSense, linting, and debugging.
Diagnostic Code: InvalidPythonInterpreterDiagnostic, Message: No Python interpreter is selected. You need to select a Python interpreter to enable features such as IntelliSense, linting, and debugging.
Error 2021-10-01 15:47:00: readdir() failed for "C:\Users\jbaks\AppData\Local\Programs\Python\Python39\python.exe" (Error: ENOTDIR: not a directory, scandir 'C:\Users\jbaks\AppData\Local\Programs\Python\Python39\python.exe')
conda --version
Error 2021-10-01 15:47:02: readdir() failed for "C:\Users\jbaks\AppData\Local\Programs\Python\Python39\python.exe" (Error: ENOTDIR: not a directory, scandir 'C:\Users\jbaks\AppData\Local\Programs\Python\Python39\python.exe')
Error 2021-10-01 15:47:44: Invalid Python Path 'C:\Python39\python.exe'
karthiknadig commented Oct 1, 2021
@abioz-aiz Some thing is wrong with the python installation on your machine and the settings seem weird. It looks like C:\Python39\python.exe python either does not exist or has no execute permissions. C:\Users\jbaks\AppData\Local\Programs\Python\Python39\python.exe has been assigned to something that should really be a directory.
abioz-aiz commented Oct 8, 2021
User Settings.json:
"editor.minimap.enabled": true,
"window.zoomLevel": -1,
"workbench.colorTheme": "Atom One Dark",
"atomKeymap.promptV3Features": true,
"editor.multiCursorModifier": "ctrlCmd",
"editor.formatOnPaste": true,
"workbench.editorAssociations": "*.ipynb": "jupyter-notebook"
>,
"python.defaultInterpreterPath": "C:\Python39\python.exe",
"python.pythonPath": "C:\Python39\python.exe",
"notebook.cellToolbarLocation": "default": "right",
"jupyter-notebook": "left"
>,
"security.workspace.trust.untrustedFiles": "open",
"[jsonc]": "editor.defaultFormatter": "vscode.json-language-features"
>,
"python.autoComplete.extraPaths": [
abioz-aiz commented Oct 8, 2021
abioz-aiz commented Oct 18, 2021
What could possibly be the problem? @karthiknadig
karthiknadig commented Oct 18, 2021 •
@abioz-aiz Workspace configuration (settings.json) will be in the folder that you open with VS code, not in the location where vscode extensions are installed (i.e, it won't be here C:\Users\jbacks\.vscode ). IF VS Code is not able to run the python provided then you see this message. From what I can tell you have wrong path set somewhere.
Then click on workspace, and this button at the top right corner:
abioz-aiz commented Oct 20, 2021
karthiknadig commented Oct 20, 2021
@abioz-aiz I am not sure what is wrong. At this point I would say, see if you can minimally repro the issue, and capture a gif of what is going on. From what I can tell, somewhere some path is set that is invalid and this is causing problems. From what I can tell from the screen shot above, you have not really opened an actual project. you have opened .vscode folder inside .vscode folder. I can see multiple settings.json there.
You can also try forcing the python to be a particular one like this and see if it helps.
You might get more help setting up your project if you ask this on stack overflow or discussions.
brettcannon commented Dec 14, 2021
Because we have not heard back with the information we requested, we are closing this issue for now. If you are able to provide the info later on then we will be happy to re-open this issue to pick up where we left off.
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Hello Guys, How are you all? Hope You all Are Fine. Today When I run my python code Suddenly I got VSCode: The Python path in your debug configuration is invalid in Python. So Here I am Explain to you all the possible solutions here.
Without wasting your time, Let’s start This Article to Solve This Error.
How VSCode: The Python path in your debug configuration is invalid Error Occurs ?
I am trying to debug a simple python program via “F5” or “Run with debugger”. Whenever I press F5 using the python extension, a pop-up appears at the bottom right “The Python path in your debug configuration is invalid.”
How To Solve VSCode: The Python path in your debug configuration is invalid Error ?
- How To Solve VSCode: The Python path in your debug configuration is invalid Error ?
To Solve VSCode: The Python path in your debug configuration is invalid just Open Command Palette (Ctrl + Shift + P). Type Python: Select Interpreter, open it Select the python interpreter or enter the full path to the python interpreter.
Solution 1: add Python:Select Interpreter
Vscode is not able to find the python path or its not yet set.
Open command palette(ctrl+shift+P) and type python and look for “Python:Select Interpreter”. You will be asked to enter the path of python where it is installed.
Incase you are using virtual environment and in most of the case its true. Look for the path .venv/Script/python else select the python path where you have installed in your local machine.
Solution 2: add python path in vscode
- See File - Preferences - Settings .
- Click the “Open Settings (JSON)” button. Make sure that this entry has python.exe at the end. "python.pythonPath": "C:\\Users\\\\AppData\\Local\\Programs\\Python\\Python38\\python.exe
Solution 3: add pythonPath
You could try something like this but directing it to wherever your python program is install on your system
Summery
It’s all About this issue. Hope all solution helped you a lot. Comment below Your thoughts and your queries. Also, Comment below which solution worked for you?
Hello Guys, How are you all? Hope You all Are Fine. Today I am trying to debug my code but it gives me the following error The Python path in your debug configuration is invalid in Python. So Here I am Explain to you all the possible solutions here.
Without wasting your time, Let’s start This Article to Solve This Error.
How The Python path in your debug configuration is invalid Error Occurs ?
I am new to Python and VS Code and am trying to debug a simple python program via “F5” or “Run with debugger”.
Whenever I try to debug a simple python program using the python extension, a pop up appears at the bottom right “The Python path in your debug configuration is invalid.”
How To Solve The Python path in your debug configuration is invalid Error ?
- How To Solve The Python path in your debug configuration is invalid Error ?
To Solve The Python path in your debug configuration is invalid Error If VS Code does not automatically locate an interpreter you want to use, you can set the path to it manually in your Workspace Settings settings.json file. With any of the entries that follow, you can just add the line as a sibling to other existing settings.)
Solution 1
I was able to fix this by adding python.pythonPath to my devcontainer.json:
Solution 2
Manually specify an interpreter
If VS Code does not automatically locate an interpreter you want to use, you can set the path to it manually in your Workspace Settings settings.json file. With any of the entries that follow, you can just add the line as a sibling to other existing settings.)
First, select the File (Code on macOS) > Preferences > Settings menu command (Ctrl+,) to open your Settings, select Workspace.
Then do any of the following steps:
- Create or modify an entry for python.pythonPath with the full path to the Python executable (if you edit settings.json directly, add the line below as the setting):
- For Windows: "python.pythonPath": "c:/python36/python.exe"
- For macOS/Linux: "python.pythonPath": "/home/python36/python"
- You can also use python.pythonPath to point to a virtual environment, for example:
- Windows: “python.pythonPath”: “c:/dev/ala/venv/Scripts/python.exe”
- macOS/Linux: “python.pythonPath”: “/home/abc/dev/ala/venv/bin/python”
- You can use an environment variable in the path setting using the syntax $ . For example, if you’ve created a variable named PYTHON_INSTALL_LOC with a path to an interpreter, you can then use the following setting value:
- “python.pythonPath”: “$”,
Solution 3
Set this in your settings to turn off isolation. "python.useIsolation" = false
Solution 4
you can also use “python” to set a custom python path (default uses the selected python path):
Summery
It’s all About this issue. Hope all solution helped you a lot. Comment below Your thoughts and your queries. Also, Comment below which solution worked for you?
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