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🚀 Learning-NumPy

The foundation of my Data Science journey.

📌 Overview

This repository is dedicated to mastering NumPy, the core library for numerical computing in Python. My goal is to move from basic array manipulation to advanced mathematical operations used in Machine Learning and Data Analysis.

🛠️ Tech Stack

Python NumPy Git


📂 Repository Structure

  • array.py: Initial scripts focusing on array creation and basic slicing.
  • .gitignore: Configuration to keep the repository clean.
  • LICENSE: MIT License for open-source use.

📈 Learning Roadmap

  • Environment setup & GitHub integration
  • Numpy basic (array manipulation:01-->11)
  • Numpy Random
  • Numpy ufunc

📖 Why NumPy?

I am starting with NumPy because it provides the computational power needed for data science. Understanding how data is stored in memory-efficient arrays is the first step toward building complex models.


Follow my progress as I document my transition into the world of Data Science!

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A collection of exercises and notes for mastering the NumPy library in Python.

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