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Learning IPython for Interactive Computing and Data Visualization, Second Edition

You're reading from Learning IPython for Interactive Computing and Data Visualization, Second Edition Get started with Python for data analysis and numerical computing in the Jupyter notebook

Product type Paperback

Published in Oct 2015

Publisher

ISBN-13 9781783986989

Length 200 pages

Edition 1st Edition

Languages

Python

Concepts

Scientific Computing

Author (1):

Cyrille Rossant

View More author details

Table of Contents (8) Chapters

Preface

1. Getting Started with IPython

2. Interactive Data Analysis with pandas FREE CHAPTER

3. Numerical Computing with NumPy

4. Interactive Plotting and Graphical Interfaces

5. High-Performance and Parallel Computing

6. Customizing IPython

Index

Chapter 6. Customizing IPython

The Jupyter Notebook is a highly-customizable platform. You can configure many aspects of the software in your configuration files. You can also extend the backend (kernels) and the frontend (HTML-based Notebook). This allows you to create highly-personalized user experiences based on the Notebook.

In this chapter, we will cover the following topics:

Creating a custom magic command in an IPython extension
Writing a new Jupyter kernel
Displaying rich HTML elements in the Notebook
Customizing the Notebook interface with JavaScript

The rest of the chapter is locked

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Authors (1)

Cyrille Rossant

Cyrille Rossant

Cyrille Rossant, PhD, is a neuroscience researcher and software engineer at University College London. He is a graduate of École Normale Supérieure, Paris, where he studied mathematics and computer science. He has also worked at Princeton University and Collège de France. While working on data science and software engineering projects, he gained experience in numerical computing, parallel computing, and high-performance data visualization. He is the author of Learning IPython for Interactive Computing and Data Visualization, Second Edition, Packt Publishing.

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