Python 3.13.0 : testing streamlit Python framework for data scientists and AI/ML engineers.

Streamlit is an open-source Python framework for data scientists and AI/ML engineers to deliver interactive data apps – in only a few lines of code.

I run the module streamlit directly, even if Windows cannot find the streamlit command:

python -m pip install streamlit
Collecting streamlit
  Downloading streamlit-1.56.0-py3-none-any.whl.metadata (9.8 kB)
...
Successfully installed altair-6.0.0 gitdb-4.0.12 gitpython-3.1.46 pydeck-0.9.1 smmap-5.0.3 streamlit-1.56.0

Let's test it:

python -m streamlit hello

      Welcome to Streamlit!

      If you'd like to receive helpful onboarding emails, news, offers, promotions,
      and the occasional swag, please enter your email address below. Otherwise,
      leave this field blank.

      Email: ←[0m

  You can find our privacy policy at https://streamlit.io/privacy-policy

  Summary:
  - This open source library collects usage statistics.
  - We cannot see and do not store information contained inside Streamlit apps,
    such as text, charts, images, etc.
  - Telemetry data is stored in servers in the United States.
  - If you'd like to opt out, add the following to %userprofile%/.streamlit/config.toml,
    creating that file if necessary:

    [browser]
    gatherUsageStats = false


  Welcome to Streamlit. Check out our demo in your browser.

  Local URL: http://localhost:8501
  Network URL: http://192.168.1.75:8501

  Ready to create your own Python apps super quickly?
  Head over to https://docs.streamlit.io

  May you create awesome apps!

... and result is this: