Articles by Analytical Monk

Analyze pull requests and Travis builds using Rperform

September 5, 2016 | Analytical Monk

Always code as if the guy who ends up maintaining your code will be a violent psychopath who knows where you live. – Martin Golding In previous posts, I had discussed how Rperform can be used to obtain and visualize package performance data. However, real-world software development is a collaborative process. ...
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GSoC 2016 Report – Rperform

August 23, 2016 | Analytical Monk

Developer: Akash Tandon Mentors: Joshua Ulrich, Toby Dylan Hocking Official Project Link: Rperform: performance analysis of R package code This project meant to deal primarily with development of Rperform’s functionalities to allow developers to obtain potential performance impacts of a pull request (PR) without having to merge, extension of ...
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Data Science Competitions 101: Anatomy and Approach

July 27, 2016 | Analytical Monk

I recently participated in a weekend-long data science hackathon, titled ‘The Smart Recruits’. Organized by the amazing folks at Analytics Vidhya, it saw some serious competition. Although my performance can be classified as decent at best (47 out of 379 participants), it was among the more satisfying ones I have participated in ...
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Obtaining package performance data using Rperform

July 8, 2016 | Analytical Monk

“In God we trust. All others must bring data.” – W. Edwards Deming In a previous post, I had discussed how Rperform uses the grammar of graphics approach to visualize an R package’s performance in terms of runtime and memory usage. The visualizations contribute significantly towards Rperform’s mission to ...
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Rperform in Google Summer of Code 2016

May 21, 2016 | Analytical Monk

Rperform had started as a GSoC 2015 project with an aim to “to provide a package with functions that make it easy for R package developers to track quantitative performance metrics of their code, over time.” Much of the functionality required for the same was implemented over the course of last ...
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