Practical Python integration: Enables students to apply mathematical concepts computationally
Extensive coding examples: 182 code snippets for topics in mechanics, electronics, optics, and more
Crash course in Python: Introductory chapter covers essential Python programming and libraries
Problem sets at each chapter: Reinforces skills in mathematical techniques, programming, and numerical analysis
GitHub repository with Jupyter notebooks: Provides ready-to-run code for all examples
Summarized by Shop
This advanced undergraduate textbook presents a new approach to teaching mathematical methods for scientists and engineers. It provides a practical, pedagogical introduction to utilizing Python in Mathematical and Computational Methods courses. Both analytical and computational examples are integrated from its start. Each chapter conclude
Format
E-Book
Language
English
Number of coding examples
182
Includes
Solutions manual for instructors, GitHub repository with Jupyter notebooks
Coverage
Advanced topics in mathematics, Python programming, symbolic and numerical computation