Title 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 / Francisco J. Blanco-Silva.

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Online eBook. Access restricted to current Rider University students, faculty, and staff.
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Description	1 online resource (iii, 136 pages) : illustrations.
Physical Medium	polychrome
Description	text file
Series	Community experience distilled
	Community experience distilled.
Note	Includes index.
Contents	Introduction to SciPy -- Top-level SciPy -- SciPy for Linear Algebra -- SciPy for Numerical Analysis -- SciPy for Signal Processing -- SciPy for Data Mining -- SciPy for Computational Geometry -- Interaction with Other Languages.
Summary	A step-by-step practical tutorial with plenty of examples on research-based problems from various areas of science, that prove how simple, yet effective, it is to provide solutions based on SciPy. 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.
Local Note	eBooks on EBSCOhost EBSCO eBook Subscription Academic Collection - North America
Subject	Numerical analysis.
	Numerical analysis.
Genre/Form	Electronic books.
Other Form:	Print version: Silva. Learning SciPy for Numerical and Scientific Computing. Birmingham : Packt Publishing, ©2013 9781782161622
ISBN	9781782161639 (electronic book)
	1782161635 (electronic book)
	9781782161622