Learning SciPy for Numerical and Scientific Computing
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About This Book
- Perform complex operations with large matrices, including eigenvalue problems, matrix decompositions, or solution to large systems of equations
- Step-by-step examples to easily implement statistical analysis and data mining that rivals in performance any of the costly specialized software suites
- Plenty of examples of state-of-the-art research problems from all disciplines of science, that prove how simple, yet effective, is to provide solutions based on SciPy
Who This Book Is For
This book is targeted at anyone with basic knowledge of Python, a somewhat advanced command of mathematics/physics, and an interest in engineering or scientific applications---this is broadly what we refer to as scientific computing.
This book will be of critical importance to programmers and scientists who have basic Python knowledge and would like to be able to do scientific and numerical computations with SciPy.