Python Basic Data Types Tutorial 🐍

Welcome to the Python Basic Data Types repository!
This repository contains comprehensive tutorials and examples for all fundamental Python data types including numbers, strings, booleans, lists, tuples, sets, dictionaries, and type conversion.

Perfect for beginners and intermediate Python learners who want to master Python data structures and understand their properties and operations.

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📚 Included Notebooks

1. 01_Python_Basic_Data_Types_Introduction.ipynb → Overview of Python data types, dynamic typing
2. 02_Numbers.ipynb → int, float, complex, arithmetic operations, type casting
3. 03_Strings.ipynb → Single-line & multi-line strings, concatenation, repetition, indexing, slicing
4. 04_Booleans.ipynb → Boolean values, logical and comparison operators, conditions
5. 05_Lists.ipynb → Lists, mutability, indexing, slicing, operations
6. 06_Tuples.ipynb → Tuples, immutability, indexing, slicing, operations
7. 07_Sets.ipynb → Sets, uniqueness, membership, union, intersection, difference
8. 08_Dictionaries.ipynb → Key-value pairs, accessing, updating, nested dictionaries
9. 09_Type_Conversion.ipynb → Casting between int, float, str, bool, list, tuple, set
10. 10_Python_Basic_Data_Types_Summary.ipynb → Quick reference table and examples

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🔹 Why Learn Python Data Types?

• Foundation for programming: Basic building blocks for advanced data structures
• Operations & Logic: Enables arithmetic, string manipulation, logical decisions
• Data Organization: Helps structure and manage data efficiently
• Type Conversion: Ensures compatibility across operations
• Real-world Applications: Lists, dictionaries, and sets are widely used in Python projects

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Python basic data types, Python numbers tutorial, Python strings tutorial, Python booleans, Python lists and tuples, Python sets, Python dictionaries, Python type conversion, Python beginner guide

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Master Python Basic Data Types and start building strong foundations for Python programming! 🚀