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IPython Interactive Computing and Visualization Cookbook

You're reading from   IPython Interactive Computing and Visualization Cookbook Harness IPython for powerful scientific computing and Python data visualization with this collection of more than 100 practical data science recipes

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Product type Paperback
Published in Sep 2014
Publisher
ISBN-13 9781783284818
Length 512 pages
Edition 1st Edition
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Author (1):
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Cyrille Rossant Cyrille Rossant
Author Profile Icon Cyrille Rossant
Cyrille Rossant
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Table of Contents (17) Chapters Close

Preface 1. A Tour of Interactive Computing with IPython FREE CHAPTER 2. Best Practices in Interactive Computing 3. Mastering the Notebook 4. Profiling and Optimization 5. High-performance Computing 6. Advanced 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

Who this book is for

This book targets students, researchers, teachers, engineers, data scientists, analysts, journalists, economists, and hobbyists interested in data analysis and numerical computing.

Readers familiar with the scientific Python ecosystem will find many resources to sharpen their skills in high-performance interactive computing with IPython.

Readers who need to implement algorithms for domain-specific applications will appreciate the introductions to a wide variety of topics in data analysis and applied mathematics.

Readers who are new to numerical computing with Python should start with the prequel of this book, Learning IPython for Interactive Computing and Data Visualization, Cyrille Rossant, Packt Publishing, 2013. A second edition is planned for 2015.

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