Use Programming to Explore Algebra, Statistics, Calculus, and More!
by Amit Saha August 2015, 264 pp. ISBN: 978-1-59327-640-9 “Saha does an excellent job providing a clear link between Python and upper-level math concepts, and demonstrates how Python can be transformed into a mathematical stage. This book deserves a spot on every geometry teacher’s bookshelf.” - Download Chapter 1: Working with Numbers (PDF)
- Download the solutions PDF and code files for the programming challenges
- Visit the author's website for code files and other resources
Along the way, you’ll discover new ways to explore math and gain valuable programming skills that you’ll use throughout your study of math and computer science. Learn how to: - Describe your data with statistics, and visualize it with line graphs, bar charts, and scatter plots
- Explore set theory and probability with programs for coin flips, dicing, and other games of chance
- Solve algebra problems using Python’s symbolic math functions
- Draw geometric shapes and explore fractals like the Barnsley fern, the Sierpinski triangle, and the Mandelbrot set
- Write programs to find derivatives and integrate functions
Creative coding challenges and applied examples help you see how you can put your new math and coding skills into practice. You’ll write an inequality solver, plot gravity’s effect on how far a bullet will travel, shuffle a deck of cards, estimate the area of a circle by throwing 100,000 “darts” at a board, explore the relationship between the Fibonacci sequence and the golden ratio, and more. Whether you’re interested in math but have yet to dip into programming or you’re a teacher looking to bring programming into the classroom, you’ll find that Python makes programming easy and practical. Let Python handle the grunt work while you focus on the math.
## About the Author
## Table of Contents
View the detailed Table of Contents (PDF) ## ReviewsAmit Saha was interviewed by "This is a great book — the level of the material is carefully judged throughout, the mathematics and the computing complement and motivate each other, and the exercises are superb." "Will show you how to reliably express mathematical ideas and operations in Python code...the grounding this gives you will make your Python code more effective, reliable and meaningful." "A good new resource for budding data scientists...contains all the important first ingredients that a newbie data scientist needs to get started in the field." " " "Great for gaining a very basic understanding of Python and quickly turning that into something with real-world application. Along the way, you’ll deepen your skills in the language." |
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