High School Mathematics with Python and Sympy: A First Course in Computer Algebra
About this ebook
📝 Start Coding Math! Stop Struggling with Math.
Are you tired of endless manual calculations and confusing formulas? Welcome to the future of learning math.
"High School Mathematics with Python and Sympy: A First Course in Computer Algebra" is your ultimate guide to unlocking the power of SymPy—Python’s incredible Computer Algebra System (CAS). Whether you want to double-check your homework, visualize complex graphs, or get a head start on college-level STEM skills, this book is your secret weapon.
Best of all? No complex setup required. With the included full source code, you can run every single example instantly in your browser using Google Colab.
🚀 Why This Book Is Your Ultimate Math Sidekick:
Complete Curriculum Coverage: We’ve got you covered from freshman year to graduation. Master equations, inequalities, function graphing, sequences, limits, 2D/3D vectors, probability, combinatorics, data analysis, and even Calculus!
Exact Answers vs. Fast Approximations: Learn how to get precise symbolic formulas (like √2 or π) and decimal approximations, depending on what your test or project demands.
100% Up-to-Date: Every line of code has been fully tested and verified with Python 3.14, ensuring a smooth, bug-free coding experience.
🎯 Who Is This Book For?
High Schoolers & College Freshmen: Want to actually visualize math instead of just memorizing it? Use Python to verify your answers and dominate courses like Algebra, Pre-Calculus, AP Calculus, and AP Statistics.
Python Beginners: No advanced coding experience needed! Math is the perfect, familiar playground to learn programming and build your logical thinking skills.
Math Teachers & Educators: Looking for ways to spice up your classroom? Use these practical Python examples to introduce modern computational math to your students.
Ready to level up your math game and add a powerful tech skill to your resume?
👉 Scroll up and grab your copy today!
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About the author
Chi-Pan Hsieh, MD, PhD, holds a Doctor of Medicine (MD) and a PhD in Physiology from National Taiwan University. With a passion for mentoring the next generation, he has served as an adjunct assistant university professor, teaching courses such as "Introduction to Natural Sciences." Dr. Hsieh is dedicated to sharing his love for the natural sciences, computer technology, and popular science with young minds and tech enthusiasts alike.
