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Designing Machine Learning Systems with Python

You're reading from   Designing Machine Learning Systems with Python Key design strategies to create intelligent systems

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Product type Paperback
Published in Apr 2016
Publisher
ISBN-13 9781785882951
Length 232 pages
Edition 1st Edition
Languages
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Authors (2):
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David Julian David Julian
Author Profile Icon David Julian
David Julian
Vahid Mirjalili Vahid Mirjalili
Author Profile Icon Vahid Mirjalili
Vahid Mirjalili
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Toc

IPython console

The Ipython package has had some significant changes with the release of version 4. A former monolithic package structure, it has been split into sub-packages. Several IPython projects have split into their own separate project. Most of the repositories have been moved to the Jupyter project (jupyter.org).

At the core of IPython is the IPython console: a powerful interactive interpreter that allows you to test your ideas in a very fast and intuitive way. Instead of having to create, save, and run a file every time you want to test a code snippet, you can simply type it into a console. A powerful feature of IPython is that it decouples the traditional read-evaluate-print loop that most computing platforms are based on. IPython puts the evaluate phase into its own process: a kernel (not to be confused with the kernel function used in machine learning algorithms). Importantly, more than one client can access the kernel. This means you can run code in a number of files and access...

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Designing Machine Learning Systems with Python
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Designing Machine Learning Systems with Python
Published in: Apr 2016
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ISBN-13: 9781785882951
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