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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
PandasJupyter
Concepts
Data Analysis
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Author (1)
Alex Galea
Alex Galea
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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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Lesson Objectives

In this lesson, you will:

  • Analyze how HTTP requests work

  • Scrape tabular data from a web page

  • Build and transform Pandas DataFrames

  • Create interactive visualizations

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Beginning Data Science with Python and Jupyter
Published in: Jun 2018Publisher: ISBN-13: 9781789532029
© 2018 Packt Publishing Limited All Rights Reserved

Author (1)

author image
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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