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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

Introducing the basics of matplotlib

Visualization is a fundamental aspect of data science, allowing data scientists to better and more effectively communicate their findings to the organization they operate in, to both data experts and non-experts. Providing the nuts and bolts of the principles behind communicating information and crafting engaging beautiful visualizations is beyond the scope of our book, but we can recommend suitable resources if you want to improve your skills.

For basic visualization rules, you can visit https://lifehacker.com/5909501/how-to-choose-the-best-chart-for-your-data. We also recommend the books of Prof. Edward Tufte on analytic design and visualization.

We can instead provide a fast and to-the-point series of essential recipes that can get you started on visualization using Python, and that you can refer to anytime you need to create a specific...

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