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Learning Python

You're reading from  Learning Python

Product type Book
Published in Dec 2015
Publisher Packt
ISBN-13 9781783551712
Pages 442 pages
Edition 1st Edition
Languages
Author (1):
Fabrizio Romano Fabrizio Romano
Profile icon Fabrizio Romano
Toc

Table of Contents (20) Chapters close

Learning Python
Credits
About the Author
Acknowledgements
About the Reviewers
www.PacktPub.com
Preface
1. Introduction and First Steps – Take a Deep Breath 2. Built-in Data Types 3. Iterating and Making Decisions 4. Functions, the Building Blocks of Code 5. Saving Time and Memory 6. Advanced Concepts – OOP, Decorators, and Iterators 7. Testing, Profiling, and Dealing with Exceptions 8. The Edges – GUIs and Scripts 9. Data Science 10. Web Development Done Right 11. Debugging and Troubleshooting 12. Summing Up – A Complete Example Index

IPython and Jupyter notebook


In 2001, Fernando Perez was a graduate student in physics at CU Boulder, and was trying to improve the Python shell so that he could have some niceties like those he was used to when he was working with tools such as Mathematica and Maple. The result of that effort took the name IPython.

In a nutshell, that small script began as an enhanced version of the Python shell and, through the effort of other coders and eventually proper funding from several different companies, it became the wonderful and successful project it is today. Some 10 years after its birth, a notebook environment was created, powered by technologies like WebSockets, the Tornado web server, jQuery, CodeMirror, and MathJax. The ZeroMQ library was also used to handle the messages between the notebook interface and the Python core that lies behind it.

The IPython notebook has become so popular and widely used that eventually, all sorts of goodies have been added to it. It can handle widgets, parallel...

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