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SQL Server 2017 Developer???s Guide

You're reading from SQL Server 2017 Developer???s Guide

Product type Book

Published in Mar 2018

Publisher Packt

ISBN-13 9781788476195

Pages 816 pages

Edition 1st Edition

Languages

Concepts

Database Programming

Table of Contents (25) Chapters

Title Page

Copyright and Credits

Dedication

Packt Upsell

Contributors

Preface

1. Introduction to SQL Server 2017

2. Review of SQL Server Features for Developers

3. SQL Server Tools

4. Transact-SQL and Database Engine Enhancements

5. JSON Support in SQL Server

6. Stretch Database

7. Temporal Tables

8. Tightening Security

9. Query Store

10. Columnstore Indexes

11. Introducing SQL Server In-Memory OLTP

12. In-Memory OLTP Improvements in SQL Server 2017

13. Supporting R in SQL Server

14. Data Exploration and Predictive Modeling with R

15. Introducing Python

16. Graph Database

17. Containers and SQL on Linux

1. Other Books You May Enjoy

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Index

Data science with Python

In a real-life data science project, the work is spread over time like your effort with this chapter. A lot of work is put in during the first part of the allocated time, with the fun coming at the end. It is time to do some more advanced analysis on your data. You will learn about visualizations, data mining, and machine learning, and using Python with SQL Server. You will use some of the most advanced Python libraries, including matplotlib and seaborn for visualizations, scikit-learn for machine learning, and scalable revoscalepy, and MicrosoftML libraries provided by Microsoft.

This section introduces data science tasks with Python, including:

Visualizations with matplotlib
Enhancing graphs with seaborn
Machine learning with scikit-learn
Using SQL Server data in Python
Executing Python in SQL Server

Creating graphs

You will learn how to do graphs with two Python libraries: matplotlib and seaborn. Matplotlib is a mature, well-tested, and cross-platform graphics engine...

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