Book Image

Numpy Beginner's Guide (Update)

By : Ivan Idris
Book Image

Numpy Beginner's Guide (Update)

By: Ivan Idris

Overview of this book

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.
Table of Contents (16 chapters)
14
C. NumPy Functions' References
15
Index

Chapter 1. NumPy Quick Start

Let's get started. We will install NumPy and related software on different operating systems and have a look at some simple code that uses NumPy. This chapter briefly introduces the IPython interactive shell. SciPy is closely related to NumPy, so you will see the SciPy name appearing here and there. At the end of this chapter, you will find pointers on how to find additional information online if you get stuck or are uncertain about the best way to solve problems.

In this chapter, you will cover the following topics:

  • Install Python, SciPy, matplotlib, IPython, and NumPy on Windows, Linux, and Macintosh
  • Do a short refresher of Python
  • Write simple NumPy code
  • Get to know IPython
  • Browse online documentation and resources