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Learning Julia

You're reading from   Learning Julia Build high-performance applications for scientific computing

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Product type Paperback
Published in Nov 2017
Publisher Packt
ISBN-13 9781785883279
Length 316 pages
Edition 1st Edition
Languages
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Authors (2):
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Rahul Lakhanpal Rahul Lakhanpal
Author Profile Icon Rahul Lakhanpal
Rahul Lakhanpal
Anshul Joshi Anshul Joshi
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Anshul Joshi
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Toc

Table of Contents (11) Chapters Close

Preface 1. Understanding Julia's Ecosystem FREE CHAPTER 2. Programming Concepts with Julia 3. Functions in Julia 4. Understanding Types and Dispatch 5. Working with Control Flow 6. Interoperability and Metaprogramming 7. Numerical and Scientific Computation with Julia 8. Data Visualization and Graphics 9. Connecting with Databases 10. Julia’s Internals

Relational databases

A relational database is a kind of database that is based on the relational model of data, that is, the kind of model that organizes data into tables of rows and columns along with a unique key identifying each row.

To access the data organized in such a format, we make use of Structured Query Language (SQL) that enables us to fetch data from a database in a fairly easy manner. Here is an example of an SQL query in MySQL that helps by fetching the records from a table inside a database:

mysql> select * from employee
    -> ;
+----+---------+--------+---------+---------------+
| id | name    | salary | retired | department_id |
+----+---------+--------+---------+---------------+
|  1 | alpha   |  72000 |       0 |             0 |
|  2 | beta    |  12000 |       0 |             0 |
|  3 | gamma   |  60000 |       0 |             0 ...
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