Python_Learning

📘 Overview

This repository contains my personal Python practice and learning progress for 2025.
The goal is to build a strong foundation in Python programming for data analysis, data science, and automation, with clear understanding of syntax, logic, and real-world problem solving.

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🎯 Objectives

• Master Python fundamentals (data types, loops, conditionals, functions, OOP)
• Learn data manipulation and analysis using pandas and numpy
• Understand file handling, error handling, and modular programming
• Strengthen problem-solving skills for data-driven applications
• Write clean, efficient, and professional Python code

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🧠 Topics Covered

1. Python Basics – Syntax, Variables, Data Types
2. Control Flow – If, Else, Loops
3. Functions & Modules
4. Lists, Tuples, Sets, and Dictionaries
5. File I/O Operations
6. Error Handling
7. NumPy and Pandas Foundations
8. Mini Data Analysis Projects

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✨ Author

Radio Cycle
Data Analyst | Aspiring Data Scientist | Storyteller
🚀 Focused on mastering SQL, Python, Tableau, and Machine Learning