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Python Data Science Essentials. - Third Edition

You're reading from  Python Data Science Essentials. - Third Edition

Product type Book
Published in Sep 2018
Publisher Packt
ISBN-13 9781789537864
Pages 472 pages
Edition 3rd Edition
Languages
Author (1):
Alberto Boschetti Alberto Boschetti
Profile icon Alberto Boschetti
Toc

Table of Contents (11) Chapters close

Preface 1. First Steps 2. Data Munging 3. The Data Pipeline 4. Machine Learning 5. Visualization, Insights, and Results 6. Social Network Analysis 7. Deep Learning Beyond the Basics 8. Spark for Big Data 9. Strengthen Your Python Foundations 10. Other Books You May Enjoy

Strengthen Your Python Foundations

The code examples that are provided along with these chapters don't require you to master Python. However, they will assume that you've previously obtained a working knowledge of at least the basics of Python scripting. They will also assume, in particular, that you know about data structures, such as lists and dictionaries, and that you have an idea about how to make class objects work.

If you don't feel confident about the aforementioned subject or have minimal knowledge of the Python language, we suggest that before you start reading this book, you should take an online tutorial, such as the Code Academy course at http://www.codecademy.com/en/tracks/python, Google's Python class at https://developers.google.com/edu/python/, or the course offered by Kaggle at https://www.kaggle.com/learn/python. All the courses are free...

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