Guide to NumPy by Travis E. Oliphant
Guide to NumPy by Travis E. Oliphant
English | Dec 7, 2006 | ISBN: N/A | 371Pages | PDF | 2.0 MB
English | Dec 7, 2006 | ISBN: N/A | 371Pages | PDF | 2.0 MB
NumPy is an extension of Python, which provides highly optimized arrays and numerical operations. NumPy replaces a lot of the functionality of Matlab and Mathematica specifically vectorized operations, but in contrast to those products is free and open source. In today's world of science and technology, it is all about speed and flexibility.
This book is for programmers, scientists, or engineers, who have basic Python knowledge and would like to be able to do numerical computations with Python. It will give you a solid foundation in NumPy arrays and universal functions. Learning NumPy Array will help you be productive with NumPy and write clean and fast code.
Improve the performance of calculations with clean and efficient NumPy code
Analyze large data sets using statistical functions and execute complex linear algebra and mathematical computations
Perform complex array operations in a simple manner