Numpy Beginner's Guide (Update): Build efficient, high-speed programs using the high-performance NumPy mathematical library

Key Features

Book DescriptionThis book is for the scientists, engineers, programmers, or analysts looking for a high-quality, open source mathematical library. Knowledge of Python is assumed. Also, some affinity, or at least interest, in mathematics and statistics is required. However, I have provided brief explanations and pointers to learning resources.What you will learn

• Install NumPy, matplotlib, SciPy, and IPython on various operating systems
• Use NumPy array objects to perform array operations
• Familiarize yourself with commonly used NumPy functions
• Use NumPy matrices for matrix algebra
• Work with the NumPy modules to perform various algebraic operations
• Test NumPy code with the numpy.testing module
• Plot simple plots, subplots, histograms, and more with matplotlib

Who this book is for

This book is for the scientists, engineers, programmers, or analysts looking for a high-quality, open source mathematical library. Knowledge of Python is assumed. Also, some affinity, or at least interest, in mathematics and statistics is required. However, I have provided brief explanations and pointers to learning resources.