You can use Jupyter Notebooks to share Python code and its output with third parties, to run code with live interactive feedback, or to systematically track and document the progress of your work.

The advantage of using Jupyter instead of an ordinary interactive interpreter like Python's is that Jupyter automatically saves a record of what you do.

In this video from the Blue Waters Symposium, Roland Haas from NCSA presents: Tutorial: How to use Jupyter Notebooks. "Jupyter notebooks provide a web-based interface to Python, R, Julia and other ...

Installing Python This step may sound redundant if youâ re already knee-deep into programming, but youâ ll need to install Python on your PC to use GPU-accelerated AI in Jupyter Notebook.

It’s common for us to work on these projects using Jupyter notebooks because they’re great, fast, simple, and they allow us to interact and play with our data.

Jupyter Notebook is not a full-blown development environment for Python. Many of the features you would expect to find in an IDE—e.g., interactive debugging, code completion, and module ...

Because of the client/server architecture, it is very simple to share notebooks with other users. You can — in theory — use Jupyter for anything you could use Python for.

Thanks to Jupyter, we were able to use our favorite Python and R libraries, visualize the data alongside the code, and document our strategies as we went, which led to quick iterations toward a ...

"A hands-on session and guided tutorial for advanced users to explore how to use the EO4SD CR platform Jupyter Notebook, including how to access EO data, conduct analyses and extract data time series.