Mining the Social Web - GitHub
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 33M | 328 MB
Genre: eLearning | Language: English

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.

Develop a core understanding of GitHub operation and how it acts as a social network for coders
Learn how to create interest graphs that represent relationships between GitHub users and repositories
Gain experience using NetworkX to represent graphs in Python and perform basic network visualization



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