Metadata-Version: 2.4
Name: math-pathlibrary
Version: 0.1.0
Summary: Educational Python practical resources for NLP and Computer Vision.
Author: Ram
License-Expression: MIT
Requires-Python: >=3.9
Description-Content-Type: text/markdown

﻿# math-pathlibrary

math-pathlibrary is an educational Python package containing practical programming resources for Natural Language Processing (NLP) and Computer Vision (CV).

## Installation

Install from PyPI:

    pip install math-pathlibrary

For Jupyter Notebook:

    %pip install math-pathlibrary

## Usage

    import math_pathlibrary
    math_pathlibrary.run()

## Main Menu

    1. NLP
    2. CV
    3. Exit

The package allows users to browse packaged TXT resources and display their contents directly.

## NLP

The NLP section contains 10 practical TXT resources covering next-word frequency analysis, predictive text generation, sentiment analysis, incident report classification, machine translation, speech emotion features, query-response systems, lexical text similarity, and lexicon-based sentiment analysis.

## Computer Vision

The CV section contains 9 practical TXT resources covering image filtering, CNN operations, Otsu thresholding, color-space conversion, image negative transformation, power-law gamma transformation, intensity slicing, Prewitt filtering, and Sobel filtering.

## Resource Selection

The package discovers TXT files packaged inside the installed math_pathlibrary package.

Selecting a resource displays its contents directly.

TXT files are treated as educational resources. Their contents are displayed as text and are not automatically executed.

## Educational Purpose

This package is intended as an educational resource library for studying and reviewing practical Python programming examples in NLP and Computer Vision.

The package itself does not automatically install third-party libraries referenced by the educational examples.

## Example

    import math_pathlibrary
    math_pathlibrary.run()
