Numerical Methods With Python For The Sciences by William Miles

In "Numerical Methods With Python For The Sciences," author William Miles provides a comprehensive guide tailored for scientists and researchers seeking to harness the power of numerical methods using Python. Miles combines his expertise in both numerical analysis and scientific computing to deliver a practical resource that bridges theoretical concepts with hands-on implementation. The book begins by establishing a solid foundation in numerical techniques, from basic algorithms to advanced methods, ensuring readers of all levels can grasp the material. Miles then seamlessly integrates Python programming throughout, illustrating how to apply these methods to solve complex scientific problems effectively.

The book covers a wide array of topics essential for scientific computing, such as root finding, interpolation, numerical integration, differential equations, and optimization techniques. Each chapter not only explains the underlying mathematical principles but also includes Python code examples that readers can directly implement and experiment with. Miles emphasizes clarity and applicability, ensuring that the algorithms and methods discussed are not only understood theoretically but are also immediately useful in real-world scenarios. By the end of the book, readers will have gained a solid understanding of how to leverage Python for numerical analysis in their respective fields of science.

Key points:

1. Introduction to fundamental numerical algorithms.
2. Practical Python implementations for scientific computing.
3. Coverage of advanced topics like numerical integration and differential equations.
4. Clear explanations with mathematical rigor.
5. Application-driven approach with real-world examples.
6. Emphasis on code readability and efficiency.
7. Suitable for scientists, researchers, and students across various disciplines.

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Writer                 ✤              William Miles (Author)