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There is one area where "computing in the browser" misses the mark a little - browser interfaces (like Jupyter) are often used not just for the convenience they
by drej 7y ago
There is one area where "computing in the browser" misses the mark a little - browser interfaces (like Jupyter) are often used not just for the convenience they offer, but also because they serve as thin clients, which provision vastly better computing resources than you have locally.
So while I do some of my coding in the browser, the code executed is an EC2 far far away, close to my data, with excellent networking etc. There is very little that a Python stack directly in my browser would offer, to me (!) at least (your mileage may vary).
- _visgean 7y agoNot just that, but a lot of organization use the setup to give good starting interface to data scientist who might know nothing about how to set up all the python packages...
- maxnoe 7y agoA data scientist wo knows nothing about how to setup the tools he or she uses daily? Tell me more.
- drej 7y agoYes, it does happen. More often than I think is healthy.
- _visgean 7y agoWell I have some friends doing genetics and their infrastructure is maintained by IT team. For them the whole programming experience is connecting to jupyter server running on pre-configured server. I think there are even some online services offering this kind of configuration for teams.