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Machine Learning for Cybersecurity Cookbook
book

Machine Learning for Cybersecurity Cookbook

by Emmanuel Tsukerman
November 2019
Intermediate to advanced content levelIntermediate to advanced
346 pages
9h 36m
English
Packt Publishing
Content preview from Machine Learning for Cybersecurity Cookbook

How it works...

We start by importing the PyGitHub library in Step 1 in order to be able to conveniently call the GitHub APIs. These will allow us to scrape and explore the universe of repositories. We also import the base64 module for decoding the base64 encoded files that we will be downloading from GitHub. Note that there is a rate limit on the number of API calls a generic user can make to GitHub. For this reason, you will find that if you attempt to download too many files in a short duration, your script will not get all of the files. Our next step is to supply our credentials to GitHub (step 2), and specify that we are looking for repositories with JavaScript, using the query='language:javascript' command. We enumerate such repositories ...

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Publisher Resources

ISBN: 9781789614671Supplemental Content