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Python Data Science Essentials

You're reading from   Python Data Science Essentials A practitioner's guide covering essential data science principles, tools, and techniques

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Product type Paperback
Published in Sep 2018
Publisher Packt
ISBN-13 9781789537864
Length 472 pages
Edition 3rd Edition
Languages
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Authors (2):
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Luca Massaron Luca Massaron
Author Profile Icon Luca Massaron
Luca Massaron
Alberto Boschetti Alberto Boschetti
Author Profile Icon Alberto Boschetti
Alberto Boschetti
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Toc

Table of Contents (11) Chapters Close

Preface 1. First Steps FREE CHAPTER 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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