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Machine Learning for the Web

You're reading from   Machine Learning for the Web Gaining insight and intelligence from the internet with Python

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Product type Paperback
Published in Jul 2016
Publisher Packt
ISBN-13 9781785886607
Length 298 pages
Edition 1st Edition
Languages
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Authors (2):
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Andrea Isoni Andrea Isoni
Author Profile Icon Andrea Isoni
Andrea Isoni
Steve Essinger Steve Essinger
Author Profile Icon Steve Essinger
Steve Essinger
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Toc

Table of Contents (10) Chapters Close

Preface 1. Introduction to Practical Machine Learning Using Python FREE CHAPTER 2. Unsupervised Machine Learning 3. Supervised Machine Learning 4. Web Mining Techniques 5. Recommendation Systems 6. Getting Started with Django 7. Movie Recommendation System Web Application 8. Sentiment Analyser Application for Movie Reviews Index

HTTP – the basics of the GET and POST methods

Hypertext Transfer Protocol (HTTP) allows a client (for example, the web browser) to interact with a server (our application). Given a URL of a server web page, the GET method is the way the client queries data from the server, specifying some parameters. This can be explained using the curl command, as follows:

curl -X GET url_path?name1=value1&name2=value2

After the ? symbol, the name/value pair specifies which data to query, and they are separated by a & symbol.

The way a client transfers data to the server is called POST, and the data is in the body of the call:

curl -X POST  -d @datafile.txt url_path

Now we can start discussing how to create a new server and an application using Django.

Installation and server creation

The Django library is installed by typing the following command in the Terminal:

sudo pip instal django

The command should install Django Version 1.7 or above (the author used version 1.7). In order to start a new...

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