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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 4. Interactive Plotting and Graphical Interfaces

In the previous chapter, we created a few plots with matplotlib and seaborn. In this chapter, we'll look at these libraries in more detail. We'll also discuss some of the many other visualization libraries in Python, with a particular emphasis on those that integrate with the Jupyter Notebook.

We will cover the following topics:

Choosing a plotting backend
matplotlib and seaborn essentials
Image processing
Further plotting and visualization libraries

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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