Mining the social web, GitHub : using Python and NetworkX to gain insight into GitHub's usage and community of users
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The work Mining the social web, GitHub : using Python and NetworkX to gain insight into GitHub's usage and community of users represents a distinct intellectual or artistic creation found in Merrimack Valley Library Consortium. This resource is a combination of several types including: Work, Still Image, Visual Materials.
The Resource
Mining the social web, GitHub : using Python and NetworkX to gain insight into GitHub's usage and community of users
Resource Information
The work Mining the social web, GitHub : using Python and NetworkX to gain insight into GitHub's usage and community of users represents a distinct intellectual or artistic creation found in Merrimack Valley Library Consortium. This resource is a combination of several types including: Work, Still Image, Visual Materials.
- Label
- Mining the social web, GitHub : using Python and NetworkX to gain insight into GitHub's usage and community of users
- Title remainder
- using Python and NetworkX to gain insight into GitHub's usage and community of users
- Statement of responsibility
- with Mikhail Klassen
- Title variation
- Using Python and NetworkX to gain insight into GitHub's usage and community of users
- Language
- eng
- 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 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
- Cataloging source
- UMI
- Characteristic
- videorecording
- LC call number
- QA76.76.D47
- PerformerNote
- Presenter, Mikhail Klassen
- Runtime
- 34
- Technique
- live action
Context
Context of Mining the social web, GitHub : using Python and NetworkX to gain insight into GitHub's usage and community of usersWork of
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