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Can I read Learning SciPy for Numerical and Scientific Computing : Quick Solutions to Complex Numerical Problems in Physics, Applied Mathematics, and Science with SciPy on EtoBox?
Learning SciPy for Numerical and Scientific Computing : Quick Solutions to Complex Numerical Problems in Physics, Applied Mathematics, and Science with SciPy by Blanco-Silva, Francisco;Christensen, Erik;Sergio J. Rojas G is a nonfiction available to read on EtoBox.
What is Learning SciPy for Numerical and Scientific Computing : Quick Solutions to Complex Numerical Problems in Physics, Applied Mathematics, and Science with SciPy about?
Quick solutions to complex numerical problems in physics, applied mathematics, and science with SciPy In Detail SciPy is an open source Python library used to perform scientific computing. The SciPy (Scientific Python) package extends the functionality of NumPy with a substantial collection of useful algorithms. The book starts with a brief description of the SciPy libraries, followed by a chapter that is a fun and fast-paced primer on array creation, manipulation, and problem-solving. You will also learn how to use SciPy in linear algebra, which includes topics such as computation of eigenvalues and eigenvectors. Furthermore, the book is based on interesting subjects such as definition and manipulation of functions, computation of derivatives, integration, interpolation, and regression. You will also learn how to use SciPy in signal processing and how applications of SciPy can be used to collect, organize, analyze, and interpret data. By the end of the book, you will have fast, accurate, and easy-to-code solutions for numerical and scientific computing applications. What You Will Learn Get to know the benefits of using the combination of Python, NumPy, SciPy, and matplotlib as a p
Who reads Learning SciPy for Numerical and Scientific Computing : Quick Solutions to Complex Numerical Problems in Physics, Applied Mathematics, and Science with SciPy?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Blanco-Silva, Francisco;Christensen, Erik;Sergio J. Rojas G
- Publisher
- Packt Publishing, Limited
- Published
- 2015
- Language
- EN
- ISBN
- 9781783987719
- Category
- nonfiction
- Subjects
- Language Learning, Mathematics, Computer Science
Other editions & translations
- Learning SciPy for Numerical and Scientific Computing, 2nd Edition: Quick solutions to complex numerical problems in physics, applied mathematics, and science w (2015)
- Learning SciPy for Numerical and Scientific Computing - Second Edition (2015)
- Sergio J Rojas G Erik A Christensen Francisco J Blanco Silva Learning Scipy For Numerical And Scientific Computing 2nd Edition Quick Solutions To Complex Numeri (2015)
- NLTK essentials : build cool NLP and machine learning applications using NLTK and other Python libraries (2015)
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