semvec/pypi-packages huggingface dataset:
easyIntelligence 0.0.1
easyIntelligence is the next, easy-to-use and learn machine learning framework.
Requires Python: >=3.6
Keywords: python,neural,networks,AI,ML,machine learning,easy,neuron,easyneuron,easyNeuron,easyIntelligence,easyintelligence

easyIntelligence is a lightweight machine learning framework that is easy to use and simple to understand.
SEPTeX 0.4.0
SEPTeX is a wrapper library for generating TeX/TikZ code through Python.
Requires Python: >=3.8

# SEPTeX

[![Publish to PyPI](https://github.com/MarcelSimader/SEPTeX/actions/workflows/python-publish.yml/badge.svg)](https://github.com/MarcelSimader/SEPTeX/actions/workflows/python-publish.yml)
|  [Documentation](https://marcelsimader.github.io/SEPTeX/)

SEPTeX is a wrapper library for generating TeX/TikZ code through Python.

This project is in version ``v0.x.y`` and hence in rapid development phase. Once a stable public API has formed version ``v1.0.0`` will be released.

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The package currently divided into two basic components: the TeX component, and the TikZ component. Below is an outline of the most important namespaces:

- ### TeX Part

  - #### TeXBase
    The basic TeX wrapper classes which form the framework.
  - #### LaTeX
    The LaTeX wrapper classes extending ``TeXBase``.
  - #### TeXUtils
    Diverse functions for converting between different objects and ``SEPTeX`` objects.

- ### TikZ Part

  - #### TikZBase
    The TikZ objects and environments which form the TikZ framework.
  - #### TikZ
    Concrete TikZ types extending ``TikZBase``.

  > Under construction:
  > - #### TikZGraph
  >   More complex graph data structures and algorithms which interface ``TikZ``.

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## Example Usages

Examples are under construction. See documentation for simple examples.
ultimate-python-project-template 0.1.0
The ultimate Python project template
Requires Python: >=3.6

# The Ultimate Python Project Template

This repo serves as the ultimate Python project template.
In addition to providing a Python project directory 
structure, this repo also features some nice quality of
life features including automated testing and publishing
through GitHub Actions. Likewise, it includes automated
documentation through Read the Docs. 

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Note: the pip package generated by this repo does nothing
and only serves as proof that the template works. That said,
you could theoretically use the functions in it.