Nice to see this on HN! For folks that don't know what this is... it's a free hosted Jupyter service, provided as a "thank you" to the Python, Jupyter, and general OSS community by the Microsoft Python team.
Regarding the perf #'s - just a heads up that you were probably on that VM all by yourself :). Though once enough people sign in or cpu threshold gets to a certain level, new VMs are allocated.
PS On a related note, we are wrapping up at PyCon in Portland, and one of the hit swags was the "Jupyter Notebook Notebook" :). See pics here:
* It's possible - Anaconda comes with an MKL enhanced version of its math libs.
* There are multiple VMs, and each VMs hold multiple docker containers, one for each Library/user (library == collection of notebooks)
* Right now, no, but we are working on it. You can have a "prep" notebook where it readies your environment with !pip, !wget, ... etc. and then actual work notebooks. We'll soon have an initial "install.sh" that will be run upon start to run any prep steps you might have.
Regarding the perf #'s - just a heads up that you were probably on that VM all by yourself :). Though once enough people sign in or cpu threshold gets to a certain level, new VMs are allocated.
PS On a related note, we are wrapping up at PyCon in Portland, and one of the hit swags was the "Jupyter Notebook Notebook" :). See pics here:
https://goo.gl/photos/L9C4fq6AsPxU7bfq5
/disclaimer: team lead/