Posts tagged open source
- 08 November 2020
Over the years I’ve had a recurring question from people who are in organizations both big and small: how can we participate in open source communities?
Whether it is because of altruism or strategic importance, many companies, research groups, non-profits, etc want to be involved in open source projects (particularly large and impactful ones like Jupyter), but getting involved can be an opaque and confusing process if you’re not already familiar with open source. Each community has its own nuances and social dynamics, and approaching from the outside can be a challenge.
- 27 October 2019
This is the second in a series of blog posts that explores what it’d look like to directly port the governance model of other communities into the Jupyter project. You can find the first post about Rust here.
Note: These posts are meant as a thought experiment rather than a proposal. Moreover, all the usual caveats come with it, such as the fact that I don’t know the Python governance structure that well, and I might totally botch my characterization of it.
- 22 October 2019
Over the last few years, it has been exciting to see the xarray project evolve, add new functionality, and mature. This post is an attempt at giving xarray another visit to see how it could integrate into electrophysiology workflows.
It is common in neuroscience to ask individuals to perform a task over and over again. You record
the activity in the brain each time they perform the task (called an “epoch” or a “trial”).
Time is recorded relative to some onset when the task begins. That is
t==0. The result
is usually a matrix of
epochs x channejupyls x time. You can do a lot of stuff with this
data, but our task in this paper is to detect changes in neural activity at trial onset (