Author: Kyle Wiggers / Source: VentureBeat
Ever wonder which programming languages are the most-used in machine learning? How about which artificial intelligence (AI) and data science packages are tapped by developers more frequently than all others? GitHub resolved a few of those mysteries today, in a follow-up to the 2018 Octoverse report it published in October.
The Microsoft-owned platform pulled info on contributions — e.g., pushing code, opening an issue or pull request, commenting on an issue or pull request, or reviewing a pull request — between January 1, 2018 and December 31, 2018. For the most-imported packages, they used data from GitHub’s dependence graph, which includes all public repositories and any private repositories that have opted in.
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