It is a very big project that has many more uses then just data science. It also has alot of corporate users such as NASA, Microsoft, Google and many more.
Juypter does not equal Python. I mainly use different languages with Juypter.
> Python is pretty much dead in everything but scripting and braindead web development. Those who think it'll amount to anything in statistics/data science are deluding themselves.
You are coming off as a big talker with extreme statements. Are you trying to just instigate people or are you just using your normal tone of speaking with people? I personally find Python as the 2nd best tool for everything. I usually don't use it but many people make a living from Python and many people use IPython as their tool at work. Your coming across as a big troll and I doubt that is the way your trying to portray yourself.
I made an argument and backed it up with a series of technical points. Feel free to disregard my opinion piece in the end there.
How "i'm coming across" is at best irrelevant, at worst a silly attempt to avoid the issue. Either stay on topic and address the points I made or don't post at all.
All of life is 100% about that. Wish you all the best! Your points were paper cuts.
None of these things are broken and I use Juypter on my server. This is an non-issue for me and most people's use case. It is a document for sharing code and results and not for debugging. This is why Nature (#1 Science Journal using it and well just about http://www.nature.com/news/interactive-notebooks-sharing-the...)
> + Can't easily use it for remote debugging (which is really the most WANTED usecase for something like this) since the concept of remote kernels is alien to it. One has to hack around the internals to expose a plain ZMQ kernel and it's still not working without issues.
+ Jupyter can't connect to remote kernels it hasn't spawned itself, gotta use stupid tricks like tunnels to fake them as local.
+ IPython forces integration with single-threaded event loops and takes the "we know better, threads are complicated and bad" approach to exposing something simple that can be used by others to integrate into any sort of app, multi-threaded or not.
Juypter is the the notebook
> A few thousand at best
It is a very big project that has many more uses then just data science. It also has alot of corporate users such as NASA, Microsoft, Google and many more.
Juypter does not equal Python. I mainly use different languages with Juypter.
> Python is pretty much dead in everything but scripting and braindead web development. Those who think it'll amount to anything in statistics/data science are deluding themselves.
You are coming off as a big talker with extreme statements. Are you trying to just instigate people or are you just using your normal tone of speaking with people? I personally find Python as the 2nd best tool for everything. I usually don't use it but many people make a living from Python and many people use IPython as their tool at work. Your coming across as a big troll and I doubt that is the way your trying to portray yourself.