Doing Math with Python
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“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.” —School Library Journal Doing Math with Python shows you how to use Python to delve into high school–level math topics like statistics, geometry, probability, and calculus. You’ll start with simple projects, like a factoring program and a quadratic-equation solver, and then create more complex projects once you’ve gotten the hang of things. 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 visualise 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. Uses Python 3.
About the Author Amit Saha is a software engineer who has worked for Red Hat and Sun Microsystems. He created and maintains Fedora Scientific, a Linux distribution for scientific and educational users. He is also the author of Write Your First Program (Prentice Hall Learning). Table of Contents Introduction Chapter 1: Working with Numbers Chapter 2: Visualising Data with Graphs Chapter 3: Describing Data with Statistics Chapter 4: Algebra and Symbolic Math with SymPy Chapter 5: Playing with Sets and Probability Chapter 6: Drawing Geometric Shapes and Fractals Chapter 7: Solving Calculus Problems Afterword Appendix A: Software Installation Appendix B: Overview of Python Topics