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Learning SciPy for Numerical and Scientific Computing : A Practical Tutorial That Guarantees Fast, Accurate, and Easy-to-code Solutions to Your Numerical and Scientific Computing Problems with the Power of SciPy and Python by Blanco-Silva, Francisco J.(Author) is a nonfiction available to read on EtoBox.

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<p><h2>In Detail</h2><p>It's essential to incorporate workflow data and code from various sources in order to create fast and effective algorithms to solve complex problems in science and engineering. Data is coming at us faster, dirtier, and at an ever increasing rate. There is no need to employ difficult-to-maintain code, or expensive mathematical engines to solve your numerical computations anymore. SciPy guarantees fast, accurate, and easy-to-code solutions to your numerical and scientific computing applications.</p><p>"Learning SciPy for Numerical and Scientific Computing" unveils secrets to some of the most critical mathematical and scientific computing problems and will play an instrumental role in supporting your research. The book will teach you how to quickly and efficiently use different modules and routines from the SciPy library to cover the vast scope of numerical mathematics with its simplistic practical approach that's easy to follow.</p><p>The book starts with a brief description of the SciPy libraries, showing practical demonstrations for acquiring and installing them on your system. This is followed by the second chapter which is a fun and fast-paced primer to ar

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Author

Blanco-Silva, Francisco J.(Author)

Publisher

Packt Publishing, Limited

Published

2013

Language

EN

ISBN

9781782161622

Category

nonfiction

Subjects

Mathematics, Computer Science, Programming