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Python Web Scraping Cookbook

You're reading from   Python Web Scraping Cookbook Over 90 proven recipes to get you scraping with Python, microservices, Docker, and AWS

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Product type Paperback
Published in Feb 2018
Publisher Packt
ISBN-13 9781787285217
Length 364 pages
Edition 1st Edition
Languages
Tools
Concepts
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Author (1):
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Michael Heydt Michael Heydt
Author Profile Icon Michael Heydt
Michael Heydt
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Toc

Table of Contents (13) Chapters Close

Preface 1. Getting Started with Scraping 2. Data Acquisition and Extraction FREE CHAPTER 3. Processing Data 4. Working with Images, Audio, and other Assets 5. Scraping - Code of Conduct 6. Scraping Challenges and Solutions 7. Text Wrangling and Analysis 8. Searching, Mining and Visualizing Data 9. Creating a Simple Data API 10. Creating Scraper Microservices with Docker 11. Making the Scraper as a Service Real 12. Other Books You May Enjoy

Installing NLTK

In this recipe we learn to install NTLK, the natural language toolkit for Python.

How to do it

We proceed with the recipe as follows:

  1. The core of NLTK can be installed using pip:
pip install nltk
  1. Some processes, such as those we will use, require an additional download of various data sets that they use to perform various analyses. They can be downloaded by executing the following:
import nltk
nltk.download()
showing info https://raw.githubusercontent.com/nltk/nltk_data/gh-pages/index.xml
  1. On a Mac, this actually pops up the following window:
The NTLK GUI

Select install all and press the Download button. The tools will begin to download a number of data sets. This can take a while, so grab a coffee...

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