![]() We introduced a new User setting called “”, which controls when the selected interpreter information is displayed in the status bar. Python interpreter display on the status bar Other notification prompts have also been improved to be more precise about errors and suggested changes. when running or debugging a file, or a tool such as a linter or formatter), and no longer on start-up. When on Linux or macOS, the displayed installation instructions will be automatically run in the terminal.Īnother improvement related to the getting started experience is that notifications for selecting the interpreter are now only shown when an interpreter is required (e.g. When Python is not installed on a Windows machine, selecting the “Install Python” button from the walkthrough will open the Python app in the Microsoft Store. The Python extension walkthrough has been improved to more easily guide users to installing Python when needed, and selecting it in VS Code. Theme: Pink-Cat-Book Improvements to the Getting Started Experience Now you can just select it to start catching all the bugs! If your project is a web application that follows the format expected by Flask, Django or FastAPI, once you click on that option you will be able to see debug configurations that were dynamically created to execute and debug your project. When you open the Run and Debug view in VS Code (Ctrl + Shift + D or ⌘+ ⇧ + D) and there is no debugger configuration (i.e., no launch.json file) on your workspace, you will see an “show all automatic debug configurations” option. ![]() To simplify the process of setting up VS Code to run and/or debug your web applications, this release includes new automatic debug configurations for projects that use Flask, Django or FastAPI. Automatic debug configurations for web apps ![]() If you’re interested, you can check the full list of improvements in our changelogs for the Python, Jupyter and Pylance extensions. Double click to accept type hints with Pylance.Setting to configure the display of the interpreter information on the status bar.Improvements to the Getting Started Experience.Automatic debug configurations for web apps.This release includes the following improvements: Of course, change the paths and python versions in the code above as needed.We’re excited to announce that the August 2022 release of the Python and Jupyter extensions for Visual Studio Code are now available! This was reported but a fix didn't garner enough votes to be implemented. Then set the python interpreter in VSCode to venv/bin/python3.9 and everything will work. Pip install -r your_requirements_file.txt Ln -s venv/bin/python3.9 venv/bin/python3 Rm venv/bin/python venv/bin/python3 venv/bin/python3.9 You can do this after you create the venv. This means you lose the "jump to definition" and similar functionality, "run this code" doesn't work, linters can't provide any kind of import-related feedback, etc.Ī solution that works is to copy the python binary into the venv, rather than use symlinks. venv/bin, and so VSCode can't resolve any of the imports from your venv unless they happen to also be installed in /opt/homebrew/bin. So the path for relative imports and all the packages in your virtual environment is now /opt/homebrew/bin instead of. opt/homebrew/bin/python3 and VSCode follows the symlink. ![]() The reason for this, at least on Macs, is that the python/python3/python3.9 inside virtual environments is a symlink to the system interpreter in e.g. ![]()
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