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My implementation of Neaural Networks

Project description

NoYetSelfAware

The objective is to create my own complete implementation of a Neural Networks, with the help of numpy

Package

It's currently my first python package.

It was done following this nice tutorial: https://packaging.python.org/tutorials/packaging-projects/

Build

Make sure you have the latest versions of PyPA’s build installed:

python3 -m pip install --upgrade build

Now run this command in the root of the project:

python3 -m build

This command should output a lot of text and once completed should generate two files in the dist directory:

dist/
  NoYetSelfAware-$VERSION-py3-none-any.whl
  NoYetSelfAware-$VERSION.tar.gz

Upload to pip

Now that you are registered, you can use twine to upload the distribution packages.

You’ll need to install Twine:

python3 -m pip install --user --upgrade twine

Once installed, run Twine to upload all of the archives under dist:

python3 -m twine upload --repository testpypi dist/*

You will be prompted for a username and password.

  • For the username, use __token__.
  • For the password, use the token value (including the pypi- prefix).

Installing

python3 -m pip install --index-url https://test.pypi.org/simple/ --no-deps https://test.pypi.org/project/NotYetSelfAware/0.0.1/

Project details


Download files

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Source Distribution

NotYetSelfAware-0.0.2.tar.gz (3.2 kB view hashes)

Uploaded Source

Built Distribution

NotYetSelfAware-0.0.2-py3-none-any.whl (2.9 kB view hashes)

Uploaded Python 3

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