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You're reading from  Learning IPython for Interactive Computing and Data Visualization, Second Edition

Product typeBook
Published inOct 2015
Reading LevelBeginner
Publisher
ISBN-139781783986989
Edition1st Edition
Languages
Python
Concepts
Scientific Computing
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Author (1)
Cyrille Rossant
Cyrille Rossant
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Cyrille Rossant

Cyrille Rossant, PhD, is a neuroscience researcher and software engineer at University College London. He is a graduate of École Normale Supérieure, Paris, where he studied mathematics and computer science. He has also worked at Princeton University and Collège de France. While working on data science and software engineering projects, he gained experience in numerical computing, parallel computing, and high-performance data visualization. He is the author of Learning IPython for Interactive Computing and Data Visualization, Second Edition, Packt Publishing.
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Summary

In this chapter, we covered the basics of data analysis with pandas: loading a dataset, selecting rows and columns, grouping and aggregating quantities, and performing complex operations efficiently.

The next natural step is to conduct statistical analyses: hypothesis testing, modeling, predictions, and so on. Several Python libraries provide such functionality beyond pandas: SciPy, statsmodels, PyMC, and more. The IPython Cookbook contains many advanced examples of such analyses.

In the next chapter, we will introduce NumPy, the library underlying the entire SciPy ecosystem.

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Learning IPython for Interactive Computing and Data Visualization, Second Edition
Published in: Oct 2015Publisher: ISBN-13: 9781783986989
© 2015 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Cyrille Rossant

Cyrille Rossant, PhD, is a neuroscience researcher and software engineer at University College London. He is a graduate of École Normale Supérieure, Paris, where he studied mathematics and computer science. He has also worked at Princeton University and Collège de France. While working on data science and software engineering projects, he gained experience in numerical computing, parallel computing, and high-performance data visualization. He is the author of Learning IPython for Interactive Computing and Data Visualization, Second Edition, Packt Publishing.
Read more about Cyrille Rossant

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