🐍 Python Practice Repository

This repository contains step-by-step Jupyter Notebook exercises for learning Python programming fundamentals.
It is structured in a progressive order, starting from basics and gradually moving into advanced concepts.

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📂 Folder Structure

File Name	Description
1.Basics.ipynb	Introduction to Python syntax, variables, and data types.
2.Strings.ipynb	String operations, slicing, methods, and formatting.
3.Operators.ipynb	Arithmetic, logical, relational, and bitwise operators.
4.Taking input from the user.ipynb	User input and type casting.
5.Operator Precedence.ipynb	Understanding precedence & associativity of operators.
6.If else Conditionals.ipynb	Decision making with if-else statements.
7.Match Case.ipynb	Pattern matching using match case (Python 3.10+).
8.String Formatting and f-strings.ipynb	Old formatting vs f-strings.
9.Loops.ipynb	For loop, while loop, nested loops, and control statements.
10.List.ipynb	List operations, methods, and slicing.
11.Tuples.ipynb	Tuples and immutability.
12.Sets.ipynb	Set operations and methods.
13.Dictionary.ipynb	Dictionary operations, keys, values, items.
14.File Handling.ipynb	Reading, writing, and managing files.
15.JSON module.ipynb	Working with JSON data in Python.
16.Object Oriented Programming.ipynb	Classes, objects, inheritance, polymorphism, encapsulation.
17.List comprehensions.ipynb	One-line list, dict, and set comprehensions.
18.Lambda functions.ipynb	Lambda expressions, map(), filter(), reduce().
data.json	Sample dataset for JSON practice.
PY 1.png	Reference image/screenshot.

🎯 Learning Path

The notebooks are arranged to mimic a beginner → intermediate Python learning journey:

• Start from Basics → Strings → Operators → Conditionals → Loops
• Then practice Data Structures (List, Tuple, Set, Dictionary)
• Move to File Handling, JSON, OOP
• End with Comprehensions & Lambda

🏆 Author

Practice notebooks by Roshan ✨ Aspiring Data Scientist