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IPython Notebook Essentials
Compute scientific data and execute code interactively with NumPy and SciPyAbout This BookPerform Computational Analysis interactivelyCreate quality displays using matplotlib and Python Data AnalysisStep-by-step guide with a rich set of examples and a thorough presentation of The IPython NotebookWho This Book Is ForIf you are a professional, student, or educator who wants to learn to use IPython Notebook as a tool for technical and scientific computing, visualization, and data analysis, this is the book for you. This book will prove valuable for anyone that needs to do computations in an agile environment.
What You Will LearnQuickly install and get started with IPython NotebookCreate interactive widgets in the NotebookMaster the Notebook's interface and navigation featuresCreate publication-quality graphs and displays of data with matplotlibAdd media to the Notebook with IPython's Rich Display SystemAccelerate code using NumbaPro and concurrent computingPerform advanced scientific computations with SciPyWork with data in the Notebook with pandasIn DetailIn data science, it is difficult to present interesting visual or technical content, as it involves scientific notations that are not easy to type in a normal document format. IPython provides a web-based UI called Notebook, which creates a working environment for interactive computing that combines code execution with computational documents. IPython Notebook makes the task simpler as it was developed for scientific programming to solve larger problems through a series of smaller programs. IPython Notebook is used to learn Python in a fun and interactive way and to do some serious parallel / technical computing.
The book begins with an introduction to the efficient use of IPython Notebook for interactive computation. The book then focuses on the integration of technologies such as matplotlib, pandas, and SciPy. The book is aimed at empowering you to work with IPython Notebook for interactive computing, configuring it, creating your own notebooks / research documents. You will learn how IPython lets you perform efficient computations through examples with NumPy, data analysis with pandas, and visualization with matplotlib.
What You Will LearnQuickly install and get started with IPython NotebookCreate interactive widgets in the NotebookMaster the Notebook's interface and navigation featuresCreate publication-quality graphs and displays of data with matplotlibAdd media to the Notebook with IPython's Rich Display SystemAccelerate code using NumbaPro and concurrent computingPerform advanced scientific computations with SciPyWork with data in the Notebook with pandasIn DetailIn data science, it is difficult to present interesting visual or technical content, as it involves scientific notations that are not easy to type in a normal document format. IPython provides a web-based UI called Notebook, which creates a working environment for interactive computing that combines code execution with computational documents. IPython Notebook makes the task simpler as it was developed for scientific programming to solve larger problems through a series of smaller programs. IPython Notebook is used to learn Python in a fun and interactive way and to do some serious parallel / technical computing.
The book begins with an introduction to the efficient use of IPython Notebook for interactive computation. The book then focuses on the integration of technologies such as matplotlib, pandas, and SciPy. The book is aimed at empowering you to work with IPython Notebook for interactive computing, configuring it, creating your own notebooks / research documents. You will learn how IPython lets you perform efficient computations through examples with NumPy, data analysis with pandas, and visualization with matplotlib.
191 pages, Kindle Edition
First published November 21, 2014
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Displaying 1 - 2 of 2 reviews
January 18, 2015
Learn by example but keep some reference/doc along with you
The book is supposed to make you learn ipython by throwing you into a field course of examples but the explanations are not on the same level in all the examples, some are well documented and easy to read others are a bit too cryptic for a newcomer. Try using this book along with some other books if you are not well versed in the language but keep in mind that the code samples are based on python 2.7, if you want to learn or have a set of language samples/examples using the 3.x branch you should use Cyrille Rossant’s books from the same publisher.
The book is supposed to make you learn ipython by throwing you into a field course of examples but the explanations are not on the same level in all the examples, some are well documented and easy to read others are a bit too cryptic for a newcomer. Try using this book along with some other books if you are not well versed in the language but keep in mind that the code samples are based on python 2.7, if you want to learn or have a set of language samples/examples using the 3.x branch you should use Cyrille Rossant’s books from the same publisher.
December 24, 2015
Excellent tour of iPython notebook, and the libraries available through anaconda. Short read, but very informative.
Displaying 1 - 2 of 2 reviews