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.

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.

Using Docker or Podman Alternatively, you can take the Docker / Podman route and deploy the Jupyter Notebook instance inside your PC (or even a VM, if that's what floats your boat).

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 ...

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 ...

Data scientists can now get code completions powered by Kite’s deep learning, which is trained on over 25 million open-source Python files, as they type in Jupyter notebooks.

In a Jupyter Notebook, the cell is highlighted with a border whose color denotes its current mode: Green outline — cell is in "edit mode" Blue outline — cell is in "command mode" What can we do to a ...