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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-0.0.3.tar.gz (2.8 kB view details)

Uploaded Source

Built Distribution

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NotYetSelfAware-0.0.3-py3-none-any.whl (2.9 kB view details)

Uploaded Python 3

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  • Download URL: NotYetSelfAware-0.0.3.tar.gz
  • Upload date:
  • Size: 2.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.3.0 pkginfo/1.7.0 requests/2.22.0 requests-toolbelt/0.9.1 tqdm/4.61.0 CPython/3.8.5

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Hashes for NotYetSelfAware-0.0.3.tar.gz
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File details

Details for the file NotYetSelfAware-0.0.3-py3-none-any.whl.

File metadata

  • Download URL: NotYetSelfAware-0.0.3-py3-none-any.whl
  • Upload date:
  • Size: 2.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.3.0 pkginfo/1.7.0 requests/2.22.0 requests-toolbelt/0.9.1 tqdm/4.61.0 CPython/3.8.5

File hashes

Hashes for NotYetSelfAware-0.0.3-py3-none-any.whl
Algorithm Hash digest
SHA256 a3318076508a8e3326f60e41bcf4d216b420b0eae592f68a69718892c20c4aee
MD5 e65ca85316906c5e45df881d9fabee34
BLAKE2b-256 ca3fda0907654bc573f78f279a4b78da7e38254e52208aa7bdc193008e51ec82

See more details on using hashes here.

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