This sample contains the completed program from the tutorial: FastAPI in Visual Studio Code. Immediate steps are not included.
Run the app using GitHub CodespacesGitHub Codespaces provides cloud-powered development environments that work how and where you want it to. To learn how to set up a GitHub Codespace for this repository, check the documentation.
Once you open this repository in GitHub Codespaces, you can press F5 to start the debugger and run the application.
Once it's ready, you will see a notification with a button Open in the Browser
. Clicking the button will open your application on the browser. You can then add /docs
to the end of the URL to access the Swagger UI and interact with the application!
There are diffent ways you can run this app locally in VS Code depending on your operating system. To get started, first clone this project on your machine and then open it in VS Code (File > Open Folder...).
To run this app locally in VS Code on Windows, you can use either WSL (Windows Subsystem for Linux) or Docker.
Venv
, the latest available version of Python and then the requirements.txt
file to install the dependencies.Contributions to the sample are welcome! When submitting changes, also consider submitting matching changes to the tutorial, the source file for which is tutorial-fastapi.md.
Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.microsoft.com.
When you submit a pull request, a CLA-bot automatically determines whether you need to provide a CLA and decorate the PR appropriately (e.g., label, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4