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Learning SciPy for Numerical and Scientific Computing - Second Edition by Sergio J. Rojas G. & Erik A Christensen & Francisco J. Blanco-Silva is a nonfiction available to read on EtoBox.
What is Learning SciPy for Numerical and Scientific Computing - Second Edition about?
Key FeaturesBook DescriptionWhat you will learnGet to know the benefits of using the combination of Python, NumPy, SciPy, and matplotlib as a programming environment for scientific purposesCreate and manipulate an object array used by SciPyUse SciPy with large matrices to compute eigenvalues and eigenvectorsFocus on construction, acquisition, quality improvement, compression, and feature extraction of signalsMake use of SciPy to collect, organize, analyze, and interpret data, with examples taken from statistics and clusteringAcquire the skill of constructing a triangulation of points, convex hulls, Voronoi diagrams, and many similar applicationsFind out ways that SciPy can be used with other languages such as C/C++, Fortran, and MATLAB/OctaveWho this book is forThis book targets programmers and scientists who have basic Python knowledge and who are keen to perform scientific and numerical computations with SciPy.
Who reads Learning SciPy for Numerical and Scientific Computing - Second Edition?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Sergio J. Rojas G. & Erik A Christensen & Francisco J. Blanco-Silva
- Publisher
- Packt Publishing, Limited
- Published
- 2015
- Language
- EN
- ISBN
- 9781783987702
- Category
- nonfiction
- Subjects
- Language Learning, Mathematics, Computer Science
Other editions & translations
- Learning SciPy for Numerical and Scientific Computing : Quick Solutions to Complex Numerical Problems in Physics, Applied Mathematics, and Science with SciPy (2015)
- Learning SciPy for Numerical and Scientific Computing, 2nd Edition: Quick solutions to complex numerical problems in physics, applied mathematics, and science w (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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