An action-packed guide for the easy-to-use, high performance, Python based free open source NumPy mathematical library using real-world examples
The first and only book that truly explores NumPy practically
Perform high performance calculations with clean and efficient NumPy code
Analyze large data sets with statistical functions
Execute complex linear algebra and mathematical computations
In today's world of science and technology, the hype is all about speed and flexibility. When it comes to scientific computing, NumPy is on the top of the list. NumPy is the fundamental package needed for scientific computing with Python. NumPy will give you both speed and high productivity. Save thousands of dollars on expensive software, while keeping all the flexibility and power of your favourite programming language.
NumPy 1.5 Beginner's Guide will teach you about NumPy from scratch. It includes everything from installation, functions, matrices, and modules to testing, all explained with appropriate examples.
Numpy 1.5 Beginner's Guide will teach you about installing and using NumPy and related concepts.
This book will give you a solid foundation in NumPy arrays and universal functions. At the end of the book, we will explore related scientific computing projects such as Matplotlib for plotting and the SciPy project through examples.
NumPy 1.5 Beginner's Guide will help you be productive with NumPy and write clean and fast code.