From scientific analysis to building models of neurons and brain networks to running our experimental hardware, we use Python throughout our work at the Allen Institute. I had the pleasure of sitting down along with my colleagues Nicholas Cain and Corinne Teeter and chatting about Python with Michael Kennedy on the Talk Python to Me podcast. Check it out!
Every year, researchers at the Allen Institute come together for “Showcase”– an opportunity to learn what the different teams have been doing. This year, our team presented on the work we’ve been doing scaling a change detection task to be used in the next generation of the Brain Observatory.
I had the pleasure of presenting at PyData Seattle on the work our team at the Allen Institute has been doing, scaling up animal training for the next generation of the Allen Brain Observatory.
18 April 2016
My personal laptop has a modest 4 core CPU, only 4 gigs of RAM and a 256GB hard drive. One of the servers in our lab, on the other hand, has 24 cores, 128GB of RAM, a 20TB file server, two Nvidia Tesla K40s, and one Titan Z GPU.
13 April 2016
It seems that one of the first challenges for Matlab users who want to get started with Python isn’t the language, but simply getting a development environment setup. Matlab eases onboarding through a single self-contained IDE. While there are IDEs for Python, I haven’t been happy with any of them. Instead, this is my development stack and the basic setup I recommend for new Python users.