Lucian Haj's Capstone

The most difficult problem was making the file conversion script. It was the first task that the whole team worked on collaboratively, and that’s how I solved it- by asking for help. I placed this project on my wish list of projects mainly because I researched data science in the past somewhat. I would do […]

Recently we have put Scalene into our teams tool box. It allows us to profile our code in terms of python to numpy performance characteristics. Asides from our PyLinter, which I’m on the fence about, Scalene holds more performance improvements potential than any technology that we’ve used. We have also used a technology called the […]

I think that I should try to avoid commenting and duplication as much as possible, especially if it’s duplicate comments; perhaps using a simple comment at the beginning and referencing throughout the whole program instead of gray scale font would improve the codes chances of success. Speaking of comments and success, successful documentation protocols may […]

We’ve begun to develop our own file format. Specifically, we are adjusting the hierarchical structure of our data to separate the data that needs to be processed from the data that is essential for definition of data types, ranges, etc.. We have also divided out work to accomplish our first mini sprint. My task is […]

After we gathered our requirements and tinkered as much as possible with standard APIs, preliminary feature assessment indicates that HDF5 is the best file format for us. It has been quite the stressful couple of weeks. Since the field of data science holds tremendous amounts of data, it needs to be interpolated/patched together precisely in […]

Greetings my name is Lucian Haj. I live in the PST time zone. I got started with computers mostly because I liked to draw in windows xp doodling applications. So, I wanted to figure out why the world outside of academia (I just called it school then) used technology as much as possible but I […]

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