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Beginning Data Science with Python and Jupyter

You're reading from Beginning Data Science with Python and Jupyter Use powerful industry-standard tools within Jupyter and the Python ecosystem to unlock new, actionable insights from your data

Product type Paperback

Published in Jun 2018

Publisher

ISBN-13 9781789532029

Length 194 pages

Edition 1st Edition

Languages

Python

Tools

Jupyter

Concepts

Data Analysis

Author (1):

Alex Galea

View More author details

Table of Contents (5) Chapters

Preface

1. Jupyter Fundamentals FREE CHAPTER

2. Data Cleaning and Advanced Machine Learning

3. Web Scraping and Interactive Visualizations

Index

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.

You have been reading a chapter from

Beginning Data Science with Python and Jupyter

Published in: Jun 2018

Publisher:

ISBN-13: 9781789532029

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Authors (1)

Galea

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.

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