“You promised me Mars colonies. Instead, I got Facebook.” – Buzz Aldrin, MIT Tech Review 2012 The Apollo Mission, the controversy surrounding it’s verifiability notwithstanding, remains arguably the most audacious technological project ever undertaken successfully by humankind. A bunch of … Continue reading Technology in a rut
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 summer. This included various performance visualization functions and integration with the Travis-CI workflow, among other things. The project has been accepted into the GSoC program again under the organization, R project for statistical computing. I will be working on it over the summer with my mentors, Toby Dylan Hocking … Continue reading Rperform in Google Summer of Code 2016
tl;dr Code for scraping GSoC data from Google Developers website for the years 2005-08 and storing it as csv files can be found here: GSoC data digging on Github Two csv files will be created: org_numbers.csv (containing information about the … Continue reading Digging into GSoC Data: Scraping 101 (Part 1)
For the last two years or so, I have been involved with Python in an on-off relationship of sorts. I possessed syntactical familiarity, had completed a MOOC and couple of web projects using Django. I had also read up on … Continue reading Python in the open!
There’s a plethora of generic content regarding GSoC preparation already available on the internet.* This blog post will concentrate on specific tips which should help anyone looking to get involved with The R-Project, or any R-centric Open-Source project, begin their journey. *The post assumes basic programming knowledge (loops, functions, etc.) and familiarity with git/github.* The basics To begin with, familiarity with the basic R commands/constructs (function, apply family, etc) would be required. Previous experience of writing small-to-mid sized programs and a good IDE can really come in handy. RStudio is highly recommended. The following resources should help in beginning your R journey. -> … Continue reading R, Open Source and GSoC
The two Steves revolutionized the PC industry, a certain Mark started on a quest to connect the world, and Ramesh aced the most competitive entrance exam there is. All of the above mentioned individuals are brilliant in their own right. … Continue reading Of systems, education and entrepreneurship
After almost a month since the start of the official coding period, the package Rperform is now ready with its initial suite of functions. Building on the proof-of-concept code provide by Toby Dylan Hocking, my mentor, I have written a … Continue reading Rperform: Obtaining quantitative metrics across R package versions
This blog post comes more than a week late than I had originally intended it to. But well, better late than never! This is the first in a series of posts I will write as I work through the summer on my … Continue reading GSoC 2015: Tracking changes in performance metrics of R Code