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Data Science with SQL Server Quick Start Guide

You're reading from Data Science with SQL Server Quick Start Guide Integrate SQL Server with data science

Product type Paperback

Published in Aug 2018

Publisher Packt

ISBN-13 9781789537123

Length 206 pages

Edition 1st Edition

Languages

SQL

Tools

SQL Server

Concepts

Data Science

Author (1):

Dejan Sarka

View More author details

Table of Contents (10) Chapters

Preface

1. Writing Queries with T-SQL FREE CHAPTER

2. Introducing R

3. Getting Familiar with Python

4. Data Overview

5. Data Preparation

6. Intermediate Statistics and Graphs

7. Unsupervised Machine Learning

8. Supervised Machine Learning

9. Other Books You May Enjoy

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Getting Familiar with Python

Python is a general-purpose high-level interpreted language. Because it is a general-purpose language, it is probably even more popular than R or T-SQL. Python was created by Guido van Rossum, with the first release in 1991. SQL Server 2016 started to support R. In addition, SQL Server 2016 brought all of the infrastructure needed to support additional languages. Therefore, it was easy for SQL Server 2017 to add support for Python. In the future, SQL Server might support even more programming languages. I will explain the SQL Server infrastructure later in this chapter. Anyway, it is now up to you to select your language of preference for data science projects.

One of the most important ideas behind Python was code readability. In Python, white spaces are used to delimit code blocks instead of special characters, and indents are very important...

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Authors (1)

Dejan Sarka

Dejan Sarka

Dejan Sarka, MCT and Microsoft Data Platform MVP, is an independent trainer and consultant who focuses on the development of database and business intelligence applications. He is the founder of the Slovenian SQL Server and .NET Users Group.

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