Conquer complex mathematical and scientific computing with SciPy using Packt’s New Book and eBook

February 2013 | Open Source

Packt is pleased to announce the release of its new book, titled Learning SciPy for Numerical and Scientific Computing a comprehensive guide that lets readers master powerful mathematical and scientific computing with SciPy. Readers will learn how to provide solutions based on SciPy to easily implement statistical analysis and data mining along with a plethora of state-of-the-art research problems.

About the Author: Francisco J. Blanco-Silva is a celebrated applied mathematician, programmer, teacher & blogger with great experience in scientific computing. After obtaining formal training as an applied mathematician at Purdue University, he went on to become a teaching faculty in the Department of Mathematics of the University of South Carolina and proprietor of a scientific consulting company called Tizona Scientific Solutions.

Learning SciPy for Numerical and Scientific Computing starts off with teaching the readers about the basic of SciPy with relevant examples & then dives into advances applications. The book is very tactfully broken down into various branches of numerical mathematics across various application possibilities such as numerical analysis, linear algebra, statistics, signal processing, and computational geometry to name a few.

The book uncovers secrets to some of the most critical mathematical and scientific computing problems that will play an instrumental role in supporting the readers’ research. The book will teach readers how to quickly and efficiently use different modules and routines from the SciPy library to cover the vast scope of numerical mathematics with its simple practical approach that's easy to follow.

The book consists of the following chapters:

Chapter 1: Introduction to SciPy

Chapter 2: Top-level SciPy

Chapter 3: SciPy for Linear Algebra

Chapter 4: SciPy for Numerical Analysis

Chapter 5: SciPy for Signal Processing

Chapter 6: SciPy for Data Mining

Chapter 7: SciPy for Computational Geometry

Chapter 8: Interaction with Other Languages

Programmers and scientists who have basic Python knowledge and would like to work on scientific and numerical computations with SciPy will find this book to be of great help. For more details, please visit the book page at http://www.packtpub.com/learning-scipy-for-numerical-and-scientific-computing/book


Learning SciPy for Numerical and Scientific Computing
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.

For more information, please visit: http://www.packtpub.com/learning-scipy-for-numerical-and-scientific-computing/book

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