Google Colab and Jupyter Notebook are powerful tools for coding and data analysis, each offering unique features and benefits. Compare them to choose the best fit for your needs.

Microsoft's two new video series target beginner developers interested in using Python for machine-learning programs.

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.

Getting Started Computational Physics at SFU uses Python 3 from the Anaconda distribution. The documentation on this website will cover using Jupyter notebooks on the SFU Syzygy online servers. As an ...

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.

Jupyter Notebook Using a Jupyter Notebook is a good way to interactively write Python code (and other languages supported by Jupyter). Similar to Mathematica, Jupyter Notebooks let you write code ...

NVIDIA has published a new article detailing how you can create GPU dashboards in the Jupyter Lab. The tutorial has been written by Jacob Tomlinson, Ken Hester and Rick Zamora using the Python ...

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.

JupyterLab A next-generation user interface for Jupyter Notebook, called JupyterLab, is now available and considered ready for production use.

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.