Learning SciPy for Numerical and Scientific Computing

Learning SciPy for Numerical and Scientific Computing 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. (Limited-time offer)

Table of Contents

• Introduction to SciPy
• Working with the NumPy Array As a First Step to 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

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