A Primer on Scientific Programming with Python

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This book introduces computer programming for scientific applications using the high-level Python language. It focuses on examples and problems from various fields such as mathematics, numerical calculus, statistics, physics, biology, and finance. The text covers "Matlab-style" and procedural programming alongside object-oriented programming. A background in high school mathematics is essential, and studying classical and numerical one-variable calculus concurrently is beneficial. Readers will learn to solve mathematical problems in science and engineering using numerical methods and programming, establishing a solid foundation for computational science. Reviews highlight the author's effective approach to teaching programming as a problem-solving skill, encouraging logical thinking about program design and data structures for real-world modeling. The book is highly recommended for its comprehensive coverage, making it an ideal resource for students new to scientific computing. It serves 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, guiding readers from basic to more sophisticated scientific programming in Python.