A primer on scientific programming with Python

Více o knize

This book introduces computer programming for scientific applications using the high-level Python language, focusing on example and problem-oriented learning. It covers applications from mathematics, numerical calculus, statistics, physics, biology, and finance. The text teaches both "Matlab-style" procedural programming and object-oriented programming. A background in high school mathematics is required, and studying classical and numerical one-variable calculus alongside the book is beneficial. Readers will learn to solve mathematical problems in various scientific and engineering fields using numerical methods and programming, establishing a solid foundation in computational science. Reviews highlight the author's effective approach to teaching programming as a problem-solving skill, emphasizing the importance of program logic and data structures for modeling real-world issues. The book is highly recommended for its comprehensive coverage and accessibility. It serves as an excellent resource for students new to scientific computing, acting as a bridge between introductory programming and advanced courses in numerical methods or computational science. The fourth edition is praised for its inclusivity and thoroughness, making it suitable for those progressing from beginner to more advanced scientific programming in Python.