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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

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Product type Paperback
Published in Jan 2018
Publisher Packt
ISBN-13 9781785888632
Length 548 pages
Edition 2nd 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 (19) Chapters Close

IPython Interactive Computing and Visualization CookbookSecond Edition
Contributors
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

Introducing JupyterLab


JupyterLab is the next generation of the Jupyter Notebook. It aims at fixing many Notebook usability issues and it greatly expands its scope. JupyterLab offers a general framework for interactive computing and data science in the browser, using Python, Julia, R, or one of many other languages.

In addition to providing an improved interface to existing notebooks, JupyterLab also brings, within the same interface, a file browser, consoles, terminals, text editors, Markdown editors, CSV editors, JSON editors, interactive maps, widgets, and so on. The architecture is completely extensible and open to developers. In a word, JupyterLab is a web-based, hackable IDE for data science and interactive computing.

JupyterLab uses the exact same Notebook server and file format as the classic Jupyter Notebook, so that it is fully compatible with existing notebooks and kernels. Notebook and JupyterLab can run side to side on the same computer. You can easily switch between the two...

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