NumPy Tutorial for Beginners 🧠📊

This repository contains a step-by-step NumPy tutorial implemented in a Jupyter Notebook.
It is designed for beginners in Python, Data Science, and Machine Learning who want to understand NumPy from scratch with clear examples and visualizations.

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📌 What You’ll Learn

This tutorial covers all essential NumPy concepts, including:

🔹 NumPy Basics

• What is NumPy and why it is used
• Creating NumPy arrays from Python lists
• Array dimensions, shape, size, and data types

🔹 Array Operations

• Indexing and slicing
• Reshaping arrays
• Flattening arrays
• Broadcasting concepts

🔹 Mathematical Operations

• Element-wise operations
• Arithmetic operations
• Aggregate functions (sum, mean, min, max)
• Statistical operations (variance, standard deviation)

🔹 Random Module

• Generating random numbers
• Random integers and floats
• Random matrices

🔹 Linear Algebra & Utilities

• Matrix operations
• Dot product
• Transpose
• Identity matrices

🔹 Visualization

• Basic plotting using Matplotlib
• Visualizing NumPy-generated data

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