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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 (13) Chapters

Learning IPython for Interactive Computing and Data Visualization Second Edition

Credits

About the Author

About the Reviewers

www.PacktPub.com

Preface

1. Getting Started with IPython FREE CHAPTER

2. Interactive Data Analysis with pandas

3. Numerical Computing with NumPy

4. Interactive Plotting and Graphical Interfaces

5. High-Performance and Parallel Computing

6. Customizing IPython

Index

Summary

In this chapter, we reviewed several options in Python for plotting, visualization, and graphical interfaces. There are many more details in the IPython Cookbook (http://ipython-books.github.io/cookbook/).

In the next chapter, we will cover high-performance and parallel computing in Python.

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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