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IPython Interactive Computing and Visualization Cookbook

You're reading from IPython Interactive Computing and Visualization Cookbook Over 100 hands-on recipes to sharpen your skills in high-performance numerical computing and data science in the Jupyter Notebook

Product type Paperback

Published in Jan 2018

Publisher Packt

ISBN-13 9781785888632

Length 548 pages

Edition 2nd Edition

Languages

Python

Tools

IPython

Concepts

Data Analysis

Author (1):

Cyrille Rossant

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Table of Contents (17) Chapters

Preface

1. A Tour of Interactive Computing with Jupyter and IPython FREE CHAPTER

2. Best Practices in Interactive Computing

3. Mastering the Jupyter Notebook

4. Profiling and Optimization

5. High-Performance Computing

6. Data Visualization

7. Statistical Data Analysis

8. Machine Learning

9. Numerical Optimization

10. Signal Processing

11. Image and Audio Processing

12. Deterministic Dynamical Systems

13. Stochastic Dynamical Systems

14. Graphs, Geometry, and Geographic Information Systems

15. Symbolic and Numerical Mathematics

Index

Converting a Jupyter notebook to other formats with nbconvert

A Jupyter notebook is saved in a JSON text file. This file contains the entire contents of the notebook: text, code, and outputs. The Matplotlib figures are encoded as base64 strings within the notebooks, resulting in standalone, but sometimes big, notebook files.

Note

JSON is a human-readable, text-based, open standard format that can represent structured data. Although derived from JavaScript, it is language-independent. Its syntax bears some resemblance to Python dictionaries. JSON can be parsed in many languages including JavaScript and Python (using the json module in Python's standard library).

nbconvert (https://nbconvert.readthedocs.io/en/stable/) is a tool that can convert notebooks to other formats: raw text, Markdown, HTML, LaTeX/PDF, and even slides with the reveal.js library. You will find more information about the different supported formats on the nbconvert documentation.

One typically uses the nbformat (https...

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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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