🐍 Python Foundations & Practice

This repository serves as a comprehensive log of my journey in mastering the fundamentals of the Python programming language. Before diving into specialized libraries like NumPy or OpenCV, I believe in building a strong and deep foundation.

The scripts, notebooks, and exercises contained here represent my hands-on practice with the core syntax, data structures, and programming logic that form the bedrock of all advanced Python development.

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🎯 Core Concepts Covered

This collection demonstrates my practical understanding and implementation of the following foundational Python topics:

• Variables & Data Types: (int, float, string, boolean)
• Core Data Structures:
  • Lists & List Comprehensions
  • Dictionaries
  • Tuples
  • Sets
• Control Flow:
  • Conditional logic with if, elif, and else
  • Loops with for and while
• Functions:
  • Defining and calling functions
  • Parameters, arguments, and return values
  • Lambda functions
• String Manipulation & Formatting
• File I/O: Reading from and writing to text files
• Error & Exception Handling: Using try, except, and finally blocks
• (Intro to) Object-Oriented Programming: Basic classes and objects

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📚 My Learning Pathway

This repository covers the essential first step. My learning journey continues in my other practice repositories, which build directly upon the skills demonstrated here:

• ➡️ Step 1: Python Foundations (You are here)
• Step 2: Data Analysis with Pandas & NumPy
• Step 3: Data Visualization with Matplotlib
• Step 4: Computer Vision with OpenCV

Feel free to browse the files to see my approach to solving common programming exercises and implementing fundamental concepts from scratch.