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Introduction to Computing Using Python: An Application Development Focus
book

Introduction to Computing Using Python: An Application Development Focus

by Ljubomir Perkovic
December 2011
Beginner
508 pages
13h 42m
English
Wiley
Content preview from Introduction to Computing Using Python: An Application Development Focus

CHAPTER 12

Databases and Data Processing

12.1 Databases and SQL

12.2 Database Programming in Python

12.3 Functional Language Approach

12.4 Parallel Computing

Chapter Summary

Solutions to Practice Problems

Exercises

Problems

IN THIS CHAPTER, we introduce several approaches to handle the vast amounts of data that are created, stored, accessed, and processed in today's computing applications.

We start by introducing relational databases and the language used to access them, SQL. Unlike many of the programs we have developed so far in this book, real-world application programs usually make heavy use of databases to store and access data. This is because databases store data in a way that enables easy and efficient access to the data. For this reason, it is important to develop an early appreciation of the benefits of databases and how to make effective use of them.

The amount of data generated by web crawlers, scientific experiments, or the stock markets is so vast that no single computer can process it effectively. Instead, a joint effort by multiple compute nodes—whether computers, processors, or cores—is necessary. We introduce an approach to develop parallel programs that make effective use of the multiple cores of a modern microprocessor. We then use this to develop the MapReduce framework, an approach for processing data developed by Google that can scale from a few cores on a personal computer to hundreds of thousands of cores in a server farm.

12.1 Databases and SQL

Data that ...

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Publisher Resources

ISBN: 9781118213568Purchase book