Chapter 1. A Tour of Interactive Computing with IPython
In this chapter, we will cover the following topics:
- Introducing the IPython notebook
- Getting started with exploratory data analysis in IPython
- Introducing the multidimensional array in NumPy for fast array computations
- Creating an IPython extension with custom magic commands
- Mastering IPython's configuration system
- Creating a simple kernel for IPython
Introduction
This book targets intermediate to advanced users who are familiar with Python, IPython, and scientific computing. In this chapter, we will give a brief recap on the fundamental tools we will be using throughout this book: IPython, the notebook, pandas, NumPy, and matplotlib.
In this introduction, we will give a broad overview of IPython ...
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