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IPython Interactive Computing and Visualization Cookbook by Cyrille Rossant

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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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