SciPy 2013: Day Four/Five

Day Four: Talking, myself and so many others talking…

I’ve been to several poster sessions since going back to school two summers ago. However, this was the first session that I presented in. My poster was for Scholarly. Scholarly, is a personal research project involving the network of scholarly citations that started off as a flop and has grown into a little monster. Feel free to read more about it on my current projects page, visit the GitHub repository, or download the poster. It was nice to see so many people interested in the project. Almost everyone instantly realized the importance this dataset will have and many asked the question, when can we access the data? Unfortunately, I don’t have a solid answer to that question — yet. But, we are making progress and our data collection servers should be on the web soon! Now, on to what other people spoke about.

Thursday was well, more talks. By the end of the day I was quite exhausted. While, many of them were incredibly interesting I guess I’ve discovered my limit for sitting and listening to people while I clack away at a computer — three days.

One talk I found of particular interest was Analyzing IBM Watson experiments with IPython Notebook by Torsten Bittner from IBM. I won’t go into all of the details but, the Watson team was able to take ~8,350 SLOC written in Java used for training and testing Watson to ~220 SLOC in an IPython notebook. And to make this even more impressive, it ran faster in the notebook. And with that, I’ll move into day five.

Day Five: Let the sprints commence!

Sprints? At a software conference? If you’re picturing 100 sweaty programmers running down hallways for fresh coffee you’re a bit off. There is coffee and occasionally sweat. But, very, very little running.

The sprints are an opportunity for open source projects to get people involved regardless of their skill level. It’s a pretty cool experience. You’re surrounded by programmers from all backgrounds, some legendary, most you’ve never heard of before, but all of whom are very approachable and patient.

After attending the morning pre-sprint session all of the projects distributed themselves in various rooms and went to work. I decided to try something a bit different today.

With all of this ranting and raving I’ve been doing about IPython notebooks I decided I needed to see what I could do with it. Here is the result. I was able to successfully integrate the notebook while benchmarking some search queries in a MongoDB instance populated with fake citation data. It wasn’t cumbersome to do so and documenting as I went along was actually quite enjoyable.

Time for a beer.

-H.

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