You might also like

More about Applied Trigonometry with Python

• Book details
• Synopsis
• Trending among others

You get 69 loyalty points

Book synopsis

Reactive Publishing

Applied Trigonometry with Python is a practical guide to understanding trigonometry through computational modeling, visualization, and real-world geometric problem solving.

Rather than treating trigonometry as a collection of isolated formulas, this book shows how sine, cosine, tangent, radians, angles, vectors, triangles, waves, and circular motion can be explored using Python. Readers learn how trigonometric concepts appear in distance calculations, motion analysis, signal patterns, slope, rotation, periodic behavior, and applied geometry.

Inside, readers will work through Python-based examples that connect mathematical theory with visual and computational intuition. The book explains how to model angles, graph trigonometric functions, simulate waves, analyze motion, calculate distances, and build geometric relationships using clear code examples.

Topics include:

• Angle measurement, radians, degrees, and unit-circle reasoning
• Sine, cosine, tangent, and inverse trigonometric functions
• Right-triangle relationships and distance calculations
• Waveforms, oscillation, amplitude, frequency, and phase
• Circular motion, rotation, and periodic systems
• Coordinate geometry and vector-based applications
• Python visualization for trigonometric models
• Applied examples for students, analysts, programmers, and technical readers

Designed for readers who want to move beyond memorization, this book emphasizes practical understanding, computational thinking, and visual intuition. It is suitable for self-study, technical review, applied math learning, and Python-based exploration of trigonometry.

Book details

• Full title: Applied Trigonometry with Python
• Subtitle: Modeling Angles, Waves, Motion, Distance, and Geometry with Code
• Author: Hayden Van Der Post, Alice Schwartz
• Language: English
• Binding: Paperback
• Number of pages: 414
• EAN: 9798196538353
• ID: 52433510
• Publisher: Independently published
• Weight: 552 g
• Dimensions: 229 × 152 × 22 mm
• Date of publishing: 11. May 2026

---

---

---