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, focusing on examples and problems from mathematics, numerical calculus, statistics, physics, biology, and finance. It covers "Matlab-style" procedural programming and object-oriented programming. A background in high school mathematics is required, and studying classical and numerical one-variable calculus concurrently is beneficial. Readers will learn to solve mathematical problems in various scientific and engineering fields using numerical methods and programming, establishing a solid foundation for computational science. The reviews highlight the author's effectiveness in teaching programming as a skill for problem-solving, emphasizing the development of program logic and data structures for modeling real-world issues. The book is highly recommended for its clarity and practical approach. It serves as a valuable resource for students new to scientific computing, bridging the gap between introductory programming and advanced courses in numerical methods or computational science. Overall, it provides essential knowledge for those pursuing a career in scientific programming, particularly in Python.