Yesterday, I released PyFlatten to PyPI – it’s a utility that can flatten nested data structures (e.g. list of lists; dictionaries of lists of tuples) into a single 1-by-N vector, while also returning an ‘unflattener’ function that can restore the original data structure from the flattened version. The source code are available on GitHub, where I […]
I just discovered a tool called pipreqs, and it’s embarrassingly easy to use to create a requirements.txt file. To use it, just do: pip install pipreqs pipreqs /path/to/project And that’s it! Of course, then, after uploading it to pypi, don’t forget to upload it to Anaconda Cloud as well! Credit to this webpage.
Finally, after ~2 years of learning, working, collaborating and writing, there’s been a slew of papers from our research lab going out. Really happy to have finally contributed to our collective scientific knowledge, both through my own efforts and through working with others. Here’s the list of papers, and I’m absolutely thrilled to have contributed […]
This year, I had the privilege of serving on the SciPy (Scientific Python Conference) 2016 financial aid committee, and I will be headed to Austin, TX to present a tutorial on on fundamental and statistical network analysis. In some ways, put in its most basic terms, being on the FinAid committee was really about finding […]
The paper can be found here (preprint, freely available; accepted at PNAS and in press). In no order of importance, here are the things I would tell myself to do from the start. Lesson 1. Computational work requires simulated data. Creating simulated data is paramount. Just as writing an idea down for an audience forces […]
For the reader of a newly-published article, all that we see is precisely that – the article itself. We rarely get to hear about the back-story of that paper, or the choices that were made, the struggles involved, and the emotional ride taken. I thought I’d take the time to document what the back-story to […]
Writer’s note: This blog post was written for the class of Science One 2015/2016, 9 years on after my own experience in Science One 2006/2007. My classmate, Jacob Bayless, is giving a talk to them titled “Life After Science One”, and reached out to me for some perspectives on learning computation. Here’s my piece, for […]