Jupyter notebook (and now, Jupyter Lab) is becoming an overwhelming favorite for data exploration and development, as well as sharing data science and scientific work. Since it can host Python (and other languages) it's able to make use of pretty much all of the standard tools - numpy, scipy, sci-kitlearn, matplotlib, etc.
I honestly can't think of a data scientist I know who doesn't use it for one thing or another. And if I'm giving a technical talk, I use it to present!
Remember folks that questions in this thread don't enter you into the draw to win a copy of the book.
Tim Driven Development
posted 1 year ago
So it sounds like Jupiter is platform that allows the developer to run large analytic s against data imported into it? Can you run Java analytic s in Jupiter? I trying to get a sense of how it is used with cloud data.
I'm not that into all of the various options, so I can't say specifically, but Jupyter supports kernels to run various languages, including Java. While I can't speak for the other languages I do know that with Python and pandas, there are libraries to enable it to directly access and load data from most of the cloud based data stores.
Sorry to be vague, but the possibilities are so wide that I don't really feel I can comment very specifically.