JupyterHub multiple user server
Extrapolations | 2.1.0Linux/Unix, Ubuntu 20.04 - 64-bit Amazon Machine Image (AMI)
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Python development made easy
What do you like best?
JupyterHub is an excellent way to start with Python development, and that makes it easy in terms of running and creating python code.
What do you dislike?
There is very little to criticize on the capabilities but maybe more support on documentations for development for new users.
What problems are you solving with the product? What benefits have you realized?
Scripting without managing dependencies
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It does what it does
The AMI does exactly what it says it does. It is intended for people that know Jupyter and Python in order to extend the install other environments and other functionality but at the same time it works out of the box, as an AMI service you still need to manage the instance, backups but its easy to integrate with existing processes.
My Review on JupyterHub
What do you like best?
JupyterHub is the best tool or more accurate we can say it's the best way to create the multiple instances of the jupyter notebook. When we are working on the project based on the multiple team members then multi- instances are so useful.
What do you dislike?
The things that are not useful in the jupyter notebook is that it can not use for the good version controlling tools. But multi-instance is possible by using JupyterHub but version controlling is not possible yet.
What problems are you solving with the product? What benefits have you realized?
We are creating the prediction model which is use in the my android mobile project in which we are predicting the customer requirements so for this we are working on Jupyter notebook and then Integrate it with JupyterHub.
lots of anoying bug
For a product as simple as this one there are a lot of annoying bugs. e.g. impossible to export large files (50mb) if your notebook becomes too large it doesn't save.
definitely not an out of the box solution
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