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Sumana Harihareswara is a serious Pythonista who loves pushing code. Sumana is a nine-to-fiver who works best in the afternoon (around 5 pm).

Sumana's developer personality is very similar to John Giannelos's but John is less of a CSS aficionado. There is also an uncanny similarity between Sumana's activity stream and those of Jannis, Christopher Wingard, CarrotsAreMediocre, and Enis Afgan.

It seems like Sumana is—or should be—friends with Stephen LaPorte. With this in mind, it's worth noting that Stephen is less of a Python aficionado. There is also an obvious connection between Sumana and shaunagm, MZMcBride, MrChristian, and agustín méndez.

These days, Sumana is most actively contributing to the repositories: brainwane/Bicho, brainwane/carmen, MetricsGrimoire/Bicho, brainwane/missing-from-wikipedia, and princeton-1/princeton-1.github.io.

Statistics

The two following graphs show Sumana Harihareswara's average weekly and daily schedules. These charts give significant insight into Sumana's character as a developer. The colors in the charts indicate the fraction of events that are pushes, issue comments, pull requests, new repos or branches, and new issues.

Note: an attempt has been made to show these plots in in the correct timezone (based on Sumana's location listed on their GitHub profile) but this procedure is imperfect at best.

We already know that Sumana loves pushing code but the following chart sheds some light onto what Sumana does with their open source time. In the full event stream analyzed for this report, there are a total of 300 events recorded for Sumana. The colors in the pie chart below indicate the number of events that are pushes, issue comments, pull requests, new repos or branches, and new issues.

Sumana has contributed to repositories in 3 languages. In particular, Sumana seems to be a pretty serious Python expert. The following chart shows the number of contributions Sumana made to repositories mainly written in Python, CSS, and Ruby.

Note: like stats? Of course you do. Did you know that you can get access to the raw data that was used to generate this page in JSON format?

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