Chapter 1. A Tour of Interactive Computing with Jupyter and IPython

In this chapter, we will cover the following topics:

  • Introducing IPython and the Jupyter Notebook
  • Getting started with exploratory data analysis in the Jupyter Notebook
  • 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 Jupyter


In this introduction, we will give a broad overview of Python, IPython, Jupyter, and the scientific Python ecosystem.

What is Python?

Python is a high-level, open-source, general-purpose programming language originally conceived by Guido van Rossum in the late 1980s (the name was inspired by the British ...

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