Python_Programs

This repository contains a collection of Python programs and Jupyter notebooks that I have implemented while learning programming fundamentals and problem-solving.
Each topic is explained briefly, and the corresponding notebook can be opened directly in Google Colab or previewed on GitHub.

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✨ Why Both GitHub & Colab Links?

In this repository, every notebook has two links:

• 📄 View on GitHub – Quickly preview the notebook and code without leaving GitHub. Useful if you just want to read or review.
• 🚀 Open in Colab – Instantly run, edit, and experiment with the code in Google Colab (no installation or setup required).

👉 This approach helps students in two ways:

• Study the logic directly on GitHub.
• Practice hands-on coding on Colab.

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Topics Covered

1. Basics of Python

• User Input – How to take input from the user.
  📄 View on GitHub | 🚀 Open in Colab

• Type Casting – Converting between data types (int, float, str, etc.).
  📄 View on GitHub | 🚀 Open in Colab

• Operators – Arithmetic, comparison, logical, and assignment operators.
  📄 View on GitHub | 🚀 Open in Colab

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2. Control Structures

• Conditional Statements – Using if, elif, and else.
  📄 View on GitHub | 🚀 Open in Colab

• Repetitive Structures (Loops) – Understanding loops in Python.
  📄 View on GitHub | 🚀 Open in Colab

• Extra Practice on Loops – Additional exercises.
  📄 View on GitHub | 🚀 Open in Colab

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3. Loops & Iteration

• For Loops & Range – Iteration using for loops with range().
  📄 View on GitHub | 🚀 Open in Colab

• Nested While Loops – Using multiple while loops and loop control (break, continue).
  📄 View on GitHub | 🚀 Open in Colab

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4. Functions

• Functions – Defining, calling, and using parameters and return values.
  📄 View on GitHub | 🚀 Open in Colab

• Recursion – Recursive functions like factorial and Fibonacci.
  📄 View on GitHub | 🚀 Open in Colab

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5. Data Structures

• Strings – String operations, methods, and manipulations.
  📄 View on GitHub | 🚀 Open in Colab

• Lists – Creating, indexing, slicing, updating, and iterating lists.
  📄 View on GitHub | 🚀 Open in Colab

• Dictionaries – Key–value storage, updating, and retrieving data.
  📄 View on GitHub | 🚀 Open in Colab

• Swapping Values – Different ways of swapping values in Python.
  📄 View on GitHub | 🚀 Open in Colab

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6. Problem-Solving Programs

• Converter Programs – Examples like unit and temperature converters.
  📄 View on GitHub | 🚀 Open in Colab

• Assignment 01 – Practice problems covering basics of Python.
  📄 View on GitHub | 🚀 Open in Colab

• Midterm Practice – Problem-solving exercises for midterm preparation.
  📄 View on GitHub | 🚀 Open in Colab

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7. Object-Oriented Programming (OOP)

• OOP Basics – Introduction to classes, objects, attributes, and methods.
  📄 View on GitHub | 🚀 Open in Colab

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⚠️ Important:
You can open and edit these notebooks in Google Colab for practice.
However, any changes you make will only affect your copy in Colab —
the original files in this GitHub repository will remain unchanged.

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How to Use

Clone the repository and open the notebooks using Google Colab or Jupyter Notebook:

git clone https://github.com/mibrahim-O2/Python_Programs.git
cd Python_Programs
jupyter notebook