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Mining the social web, GitHub : using Python and NetworkX to gain insight into GitHub's usage and community of users

Author: Mikhail Klassen
Publisher: [Place of publication not identified] : O'Reilly, [2017]
Edition/Format:   eVideo : Clipart/images/graphics : EnglishView all editions and formats
Summary:
"GitHub is one of the largest social coding platforms on the web. Its collaborative features allow GitHub users to follow each other’s code developments, build off each other’s work, and make it easier than ever to create open source software. Based on content from the book "Mining the Social Web" (O'Reilly Media) by Matthew Russell, this course shows you how to mine GitHub data for insight into the platform's  Read more...
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Details

Material Type: Clipart/images/graphics, Internet resource, Videorecording
Document Type: Internet Resource, Computer File, Visual material
All Authors / Contributors: Mikhail Klassen
OCLC Number: 1005511734
Notes: Title from title screen (viewed October 5, 2017).
Date of publication from resource description page.
Performer(s): Presenter, Mikhail Klassen.
Description: 1 online resource (1 streaming video file (33 min., 10 sec.)) : digital, sound, color
Other Titles: Using Python and NetworkX to gain insight into GitHub's usage and community of users
Responsibility: with Mikhail Klassen.

Abstract:

"GitHub is one of the largest social coding platforms on the web. Its collaborative features allow GitHub users to follow each other’s code developments, build off each other’s work, and make it easier than ever to create open source software. Based on content from the book "Mining the Social Web" (O'Reilly Media) by Matthew Russell, this course shows you how to mine GitHub data for insight into the platform's projects and community of users. For example, you'll be able to trace open source project histories, the types of programming languages used in those projects, and the relative popularity of those languages. The course teaches you how to make API requests on GitHub's developer platform, use NetworkX to construct interest graphs from GitHub data, and create visualizations of graphs. To get the most out of the course, learners should have basic Python experience and a GitHub account."--Resource description page.

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