Book Image

Learning IPython for Interactive Computing and Data Visualization

By : Cyrille Rossant
Book Image

Learning IPython for Interactive Computing and Data Visualization

By: Cyrille Rossant

Overview of this book

<p>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.<br /><br />"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.<br /><br />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.</p> <p>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.</p> <p>"Learning IPython for Interactive Computing and Data Visualization" will allow you to optimize your productivity in interactive Python sessions.</p>
Table of Contents (13 chapters)

Final words


At this point, you should be convinced about the great power and flexibility of IPython. Not only does IPython natively offer an impressive number of useful features, it also lets you extend and customize it in virtually any aspect. It should be noted, however, that this project is still evolving. Although it was created more than 10 years ago, Version 1.0 has still not been released at the time of writing. The core features of IPython are now quite stable and mature. The notebook, which is the most recent feature, is expected to evolve importantly in the coming years. The possibility to create custom interactive widgets in the notebook is planned and is likely to be a major feature of the whole project. More information about the upcoming developments can be found at https://github.com/ipython/ipython/wiki/Roadmap:-IPython and http://ipython.org/_static/sloangrant/sloan-grant.html.

Finally, IPython is an active open source project, meaning that anyone is welcome to contribute...