This repository is a beginner-friendly guide to understanding bit-level operations in programming.
It includes interactive Jupyter notebooks that explain and demonstrate how bits work, how numbers are represented in binary, and how to perform bitwise operations efficiently.

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Overview

Bit manipulation is a powerful technique used in programming to perform operations directly on binary representations of data.
It’s essential for optimizing code, working with hardware, cryptography, compression, and algorithms that require fast computations.

This repository covers the fundamental bitwise operations step by step, using simple examples and explanations.

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Repository Structure

File Name	Description
1.Binary_Numbers.ipynb	Introduction to binary number systems and their conversions.
2.Bitwise_AND.ipynb	Demonstrates the AND operation and its use in masking bits.
3.Bitwise_OR.ipynb	Covers the OR operation to set specific bits.
4.Bitwise XOR (eXclusive OR).ipynb	Explains the XOR operation and its role in toggling bits.
5.Bitwise NOT.ipynb	Shows the NOT operation and bitwise negation.
6.Bit Shifting.ipynb	Explains left and right shift operations and how they affect binary values.
7.Integer_Overflow.ipynb	Demonstrates how integer overflow happens at the bit level.

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Learning Goals

By exploring these notebooks, you will learn to:

• Understand how data is represented in binary.
• Perform and visualize different bitwise operations.
• Use shifting and masking to manipulate bits.
• Recognize how integer overflow works in computer systems.

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Requirements

• Python 3.x
• Jupyter Notebook
• Recommended IDE: VS Code or JupyterLab

Install dependencies (if needed):

pip install jupyter

To run the notebooks:

jupyter notebook

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Additional Notes

Each notebook is designed to be self-contained and includes explanations, code examples, and outputs. You can run the code cells interactively to understand how each bitwise operation behaves.

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Recommended Next Steps

After completing these notebooks, try:

• Solving bit manipulation problems on LeetCode or HackerRank.
• Implementing algorithms that rely on bitwise logic (e.g., subset generation, parity checking, fast multiplication).

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Author

Created by Saif Ur Rasool Student • Developer • Designer Passionate about AI, problem-solving, and clean coding practices.

Created with ♥ by Saif Ur Rasool Professional Profiles: Linkedin    Github    Leetcode    Monkeytype    Lablab    Behance    Duolingo Certificates: SL @Stanford Code In Place '25    Harvard CS50x Puzzle Day Winner '25 Courses Taught: Python Crash Course