All Python apps end with the .py extension, so create a new file with the command: nano license.py Copy and paste the entire code into the newly-created license.py file. Save and close the file.

Now, let’s create the actual app. To view the Streamlit app, we need to run the Streamlit with the run streamlit_app.py command in the terminal for running our app locally.

The most popular solution, and the most mature, is PyInstaller. PyInstaller doesn’t make the process of packaging a Python application totally painless, but it goes a long way.

Create a Python Flask app with the OpenAPI code generator. Explore the auto-generated Flask app in VS Code. A fast, simple and effective way to learn how to use the OpenAPI specification Swagger UI is ...

Beyond cProfile for Python profiling cProfile is hardly the only way to profile a Python application. cProfile is certainly one of the most convenient ways, given that it’s bundled with Python.