ml-toolkit-pro

A tiny publicly installable Python package that demonstrates a clean PyPI release.

Install

python -m pip install ml-toolkit-pro

Use

from ml_toolkit_pro import hello

print(hello())       # Hello, World!
print(hello("Ada"))  # Hello, Ada!

It also provides a command-line program:

ml-toolkit-pro

ML2 study material

The package also bundles readable text extracted in order from the three solved notebooks and the Section A theory revision PDF. Notebook cell outputs are not included.

from ml_toolkit_pro import ml2_study_materials

all_notes = ml2_study_materials()
print(all_notes)

Publish to PyPI

1. Create an account at https://pypi.org/account/register/ and enable two-factor authentication.

2. Create a PyPI API token at https://pypi.org/manage/account/token/ with scope restricted to ml-toolkit-pro where available.

3. Build and verify the distribution:

   python -m pip install --upgrade build twine
   python -m build
   python -m twine check dist/*
   

4. Upload without storing the token in source control:

   TWINE_USERNAME=__token__ TWINE_PASSWORD='pypi-your-token' python -m twine upload dist/*
   

5. Confirm a fresh installation:

   python -m pip install --upgrade ml-toolkit-pro
   python -c 'from ml_toolkit_pro import hello; print(hello())'
   

PyPI package names are global. If the upload reports that ml-toolkit-pro already exists, change the name in pyproject.toml to a unique name.