Python Programming and Machine Learning: A Visual Guide with Turtle Graphics - Softcover

Niranjan, Frank; Prusia, Alison

 
9781969254000: Python Programming and Machine Learning: A Visual Guide with Turtle Graphics

Synopsis

A Visual Journey from Python Basics to Machine Learning
Ready to learn programming and data science in the most fun and visual way possible, no experience required?
This book is your all-in-one creative guide to mastering Python, building games, and exploring the exciting world of machine learning, visually. Starting with Python Turtle graphics, you’ll draw, animate, and interact with code from page one. By the end, you'll understand the logic behind AI systems, and build your own intelligent applications.

What Makes This Book Unique?
Visual First: Every topic, from variables to regression, is taught using vivid graphics, interactive drawings, and real-time feedback.
Project-Based: Build a complete games (like Snake), data visualizations, and ML tools step by step.
No Experience Needed: Designed for total beginners, curious learners, and educators.
Math Made Easy: Complex topics like slope, distance, and optimization are introduced visually, not with dry equations.

What You'll Learn
Part I: Python Programming with Turtle Graphics
Master variables, loops, functions, lists, and dictionaries by drawing patterns and interactive shapes. Learn programming by creating art.
Part II: Game Development
Make your programs interactive! Learn to handle user input, events, collisions, game states, and animations. Build your first fully playable games.
Part III: The Snake Game Project
A complete game development walkthrough. You'll build the classic Snake game in three stages, adding controls, collisions, scoring, and polish, while mastering coding techniques used in professional projects.
Part IV: Data Science Foundations
Shift from visual art to data visuals. Learn how to load data, calculate mean/median/mode, and visualize it using bar charts, scatter plots, and line graphs, all connected back to the math you practiced through drawing.
Part V: Machine Learning for Beginners
Explore algorithms like:

  • Linear Regression: Predict future values with trend lines you draw yourself
  • Gradient Descent: Visually understand how machines “learn”
  • K-Nearest Neighbors: Classify data using simple, interactive code
You’ll apply what you’ve learned from geometry, logic, and art to build actual intelligent systems.

Who This Book Is For
  • Students and beginners learning to code or understand math in a new way
  • Educators looking for an engaging curriculum that bridges Python and STEM
  • Parents and homeschoolers seeking a screen-based, hands-on learning path
  • Anyone curious about data science and AI but intimidated by traditional textbooks
If you can draw a square, you can begin your coding and AI journey here.

Bonus Features
  • Try It Yourself” coding challenges at the end of every section
  • Code-along projects to build confidence
  • Game templates and ML project starter code
  • Real-world applications that connect code to everyday life
  • Appendices with installation guides, error fixers, and formula references

Learning to program doesn't have to be boring or theoretical. With this book, you'll code with purpose, create with joy, and understand how logic, math, and machine learning power the future.
Join the journey, draw your first shape, build your first game, and create your first AI.

"synopsis" may belong to another edition of this title.