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Mastering Ipython 40 Thomas Bitterman

  • SKU: BELL-5758258
Mastering Ipython 40 Thomas Bitterman
$ 31.00 $ 45.00 (-31%)

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Mastering Ipython 40 Thomas Bitterman instant download after payment.

Publisher: Packt Publishing
File Extension: PDF
File size: 4.98 MB
Author: Thomas Bitterman
ISBN: 9781785884153, 9781785888410, 1785884158, 1785888412
Language: English
Year: 2016

Product desciption

Mastering Ipython 40 Thomas Bitterman by Thomas Bitterman 9781785884153, 9781785888410, 1785884158, 1785888412 instant download after payment.

Key Features
Most updated book on Interactive computing with IPython 4.0;
Detailed, example-rich guide that lets you use the most advanced level interactive programming with IPython;
Get flexible interactive programming with IPython using this comprehensive guide
Book Description
IPython is an interactive computational environment in which you can combine code execution, rich text, mathematics, plots, and rich media.
This book will get IPython developers up to date with the latest advancements in IPython and dive deep into interactive computing with IPython. This an advanced guide on interactive and parallel computing with IPython will explore advanced visualizations and high-performance computing with IPython in detail.
You will quickly brush up your knowledge of IPython kernels and wrapper kernels, then we'll move to advanced concepts such as testing, Sphinx, JS events, interactive work, and the ZMQ cluster. The book will cover topics such as IPython Console Lexer, advanced configuration, and third-party tools.
By the end of this book, you will be able to use IPython for interactive and parallel computing in a high-performance computing environment.
What you will learn
Develop skills to use IPython for high performance computing (HPC)
Understand the IPython interactive shell
Use XeroMQ and MPI to pass messages
Integrate third-party tools like R, Julia, and JavaScript with IPython
Visualize the data
Acquire knowledge to test and document the data
Get to grips with the recent developments in the Jupyter notebook system
About the Author
Thomas Bitterman has a PhD from Louisiana State University and is currently an assistant professor at Wittenberg University. He previously worked in the industry for many years, including a recent stint at the Ohio Supercomputer Center. Thomas has experience in such diverse areas as electronic commerce, enterprise messaging, wireless networking, supercomputing, and academia. He also likes to keep sharp, writing material for Packt Publishing and O'Reilly in his copious free time.

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