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You're reading from Beginning Data Science with Python and Jupyter

Product typeBook

Published inJun 2018

Reading LevelBeginner

Publisher

ISBN-139781789532029

Edition1st Edition

Languages

Python

Tools

Pandas Jupyter

Concepts

Data Analysis

Author (1)

Alex Galea

Lesson Objectives

In this lesson, you will:

Learn what a Jupyter Notebook is and why it's useful for data analysis
Use Jupyter Notebook features
Study Python data science libraries
Perform simple exploratory data analysis

Note

All code from this book are available as lesson-specific IPython notebooks in the code bundle. All color plots from this book are also available in the code bundle.

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Beginning Data Science with Python and Jupyter

Published in: Jun 2018Publisher: ISBN-13: 9781789532029

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Author (1)

Alex Galea

Alex Galea has been professionally practicing data analytics since graduating with a masters degree in physics from the University of Guelph, Canada. He developed a keen interest in Python while researching quantum gases as part of his graduate studies. Alex is currently doing web data analytics, where Python continues to play a key role in his work. He is a frequent blogger about data-centric projects that involve Python and Jupyter Notebooks.
Read more about Alex Galea

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