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You're reading from  Python Web Scraping. - Second Edition

Product typeBook
Published inMay 2017
Reading LevelIntermediate
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ISBN-139781786462589
Edition2nd Edition
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Author (1)
Katharine Jarmul
Katharine Jarmul
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Katharine Jarmul

Katharine Jarmul is a data scientist and Pythonista based in Berlin, Germany. She runs a data science consulting company, Kjamistan, that provides services such as data extraction, acquisition, and modelling for small and large companies. She has been writing Python since 2008 and scraping the web with Python since 2010, and has worked at both small and large start-ups who use web scraping for data analysis and machine learning. When she's not scraping the web, you can follow her thoughts and activities via Twitter (@kjam)
Read more about Katharine Jarmul

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Summary

This chapter covered why sequential downloading creates performance bottlenecks. We looked at how to download large numbers of web pages efficiently across multiple threads and processes and compared when optimizations or increasing threads and processes might be useful and when they could be harmful. We also implemented a new Redis queue which we can use across several machines or processes.

In the next chapter, we will cover how to scrape content from web pages which load their content dynamically using JavaScript.

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Python Web Scraping. - Second Edition
Published in: May 2017Publisher: ISBN-13: 9781786462589

Author (1)

author image
Katharine Jarmul

Katharine Jarmul is a data scientist and Pythonista based in Berlin, Germany. She runs a data science consulting company, Kjamistan, that provides services such as data extraction, acquisition, and modelling for small and large companies. She has been writing Python since 2008 and scraping the web with Python since 2010, and has worked at both small and large start-ups who use web scraping for data analysis and machine learning. When she's not scraping the web, you can follow her thoughts and activities via Twitter (@kjam)
Read more about Katharine Jarmul