Modules in Python: Import, Use, and Create Your Own
Learn how to import built-in modules, use functions from them, and create your own modules in Python. This complete guide includes examples, tips, and best practices.
Functions in Python: How to Write, Use, and Reuse Code Like a Pro
Learn how to define, call, and return values from functions in Python. This complete beginner guide teaches you how to reuse code and keep your programs clean.
Control Flow in Python: if, elif, else, and Loops Explained Clearly
Learn how to use if, elif, else, for loops, and while loops in Python. This beginner’s guide covers everything with practical examples and logic tips.
Python Basics: Variables, Strings, and User Input Explained Simply
Learn Python variables, strings, and user input the easy way. A complete beginner’s guide with examples and clear explanations.
Learn Python Programming from Scratch: A Beginner’s Roadmap
A clear and approachable roadmap for learning Python from scratch written for absolute beginners. Get setup, write your first code, and explore step-by-step tutorials.
Installing Python and PyCharm: A Step-by-Step Guide for Beginners
Get started with Python the right way. This step-by-step guide helps you install Python, set up PyCharm, and run your first program with confidence.
🧙♂️ Jupyter Notebook Magic Commands – The Ultimate Cheat Sheet for Productive Python
Discover the power of Jupyter Notebook Magic Commands. This complete cheat sheet covers line and cell magics, with examples and pro tips to supercharge your Python workflow.
Chapter 7: Learning from Data – The Heart of Machine Learning
Comparison of AI learning with labeled vs unlabeled data through intuitive illustrations.
Chapter 6: Probabilistic Reasoning – How AI Handles Uncertainty
Illustration of an AI robot making predictions using probability and uncertain inputs.
Chapter 5: Knowledge Representation – How AI Understands the World
AI organizing information with labeled relationships using concept maps and logical connections.