Learning IPython for Interactive Computing and Data Visualization

$29.99

List Price: $0.00

Sub Title:

Learn IPython for interactive Python programming, high-performance numerical computing, and data visualization with this book and ebook

Price: $29.99

Learn IPython for interactive Python programming, high-performance numerical computing, and data visualization with this book and ebook

ISBN:

1782169938

ISBN 13:

9781782169932

Learning IPython for Interactive Computing and Data Visualization

Cover photo:

Available:

Available

eBook:

Learning IPython for Interactive Computing and Data Visualization [eBook]

Rank:

1000

Sales Rank:

9999

Language:

English

Title Set Up Date:

March 2013

Public Visibility Date:

March 2013

Date Of Publication:

April 2013

Out Of Print Date:

March 2013

Page Count:

138

Height:

235

Width:

191

Weight:

0.50

Detailed Description:

You already use Python as a scripting language, but did you know it is also increasingly used for scientific computing and data analysis? Interactive programming is essential in such exploratory tasks and IPython is the perfect tool for that. Once you’ve learnt it, you won’t be able to live without it.

"Learning IPython for Interactive Computing and Data Visualization" is a practical, hands-on, example-driven tutorial to considerably improve your productivity during interactive Python sessions, and shows you how to effectively use IPython for interactive computing and data analysis.

This book covers all aspects of IPython, from the highly powerful interactive Python console to the numerical and visualization features that are commonly associated with IPython.

You will learn how IPython lets you perform efficient vectorized computations, through examples covering numerical simulations with NumPy, data analysis with Pandas, and visualization with Matplotlib. You will also discover how IPython can be conveniently used to optimize your code using parallel computing and dynamic compilation in C with Cython.

"Learning IPython for Interactive Computing and Data Visualization" will allow you to optimize your productivity in interactive Python sessions.

A practical step-by-step tutorial which will help you to replace the Python console with the powerful IPython command-line interface
Use the IPython notebook to modernize the way you interact with Python
Perform highly efficient computations with NumPy and Pandas
Optimize your code using parallel computing and Cython

Learn:

Debug your code from the IPython console
Benchmark and profile your code from IPython
Perform efficient vectorized computations with NumPy
Analyze data tables with Pandas
Create visualizations with Matplotlib
Parallelize your code easily with IPython
Customize IPython and create your own magic commands
Accelerate your Python code using dynamic C compilation with Cython

Approach:

A practical hands-on guide which focuses on interactive programming, numerical computing, and data analysis with IPython.

Audience:

This book is for Python developers who use Python as a scripting language or for software development, and are interested in learning IPython for increasing their productivity during interactive sessions in the console. Knowledge of Python is required, whereas no knowledge of IPython is necessary.

keywords:

<span style="font-size: 10.0pt; line-height: 115%; font-family: "Calibri","sans-serif"; mso-ascii-theme-font: minor-latin; mso-fareast-font-family: "Times New Roman"; mso-hansi-theme-font: minor-latin; mso-bidi-font-family: "Times New Roman"; mso-ansi-language: EN-IN; mso-fareast-language: EN-IN; mso-bidi-language: AR-SA;">Python, Interactive Python, IPython, NumPy, Pandas, Numerical Simulations, Matplotlib

Special offer section

Display discount offers:

Display discount offers

Cyrille Rossant

Author Profile(s):

Cyrille Rossant

Dr. Cyrille Rossant is a French researcher in computational neuroscience. A graduate of the Ecole Normale Supérieure, Paris, where he studied Mathematics and Computer Science, he has also worked at Princeton University and University College London. He is interested in all kinds of relationships between brains and computers, including models of neural processing, high-performance simulations of neural networks, and analysis of neurophysiological data.

He has also worked on parallel computing and high-performance visualization technologies for Python, and he is a core developer of Vispy, a visualization package. He is the author of Learning IPython for Interactive Computing and Data Visualization, Packt Publishing, the prequel of this cookbook.

Code Downloads:

9932OS_CODE.zip

Discounted price:

$29.99

Errata:

Errata type: Code Related|Page number: 92 In [4]: import os Should be In [4]: %px import os

Table Of Contents:

Learning IPython for Interactive Computing and Data Visualization Table of Contents

Brand:

Open Source

Publishing division:

Pre-publication Band:

Product Format:

Book Type:

Mini

RAW:

Normal

In PacktLib:

Enabled

Sell eBook Only:

Book + eBook

Miscellaneous Settings

Enable Google Ads conversion:

Disabled

Packtlib Thumb Toggle (eBook/cheat sheet only):

Upgrade authentication question:

In Chapter 5: High-Performance and Parallel Computing, what is the fifth-last word of the final paragraph in the section before the section: Using NumPy and Cython

Upgrade authentication answer:

classical

[ Subscription Options ]

[ Book Categories ]

[ Packt Updates ]

Learning IPython for Interactive Computing and Data Visualization

Cyrille Rossant

[ PacktLib ]

[ Share this page ]

[ Testimonials ]

[ Footer Copyright ]