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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

2. Data Cleaning and Advanced Machine Learning FREE CHAPTER

3. Web Scraping and Interactive Visualizations

Index

Who This Book is for

This book will be most applicable to professionals and students interested in data analysis. The topics covered are relevant to a variety of job descriptions across a large range of industries. For the best experience, you should have knowledge of programming fundamentals and some experience with Python. In particular, having some familiarity with Python libraries such as Pandas, matplotlib, and scikit-learn will be useful.

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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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