Jupyter Notebooks let you combine code, comments, multimedia, and visualizations into an interactive document that can be shared, re-used, and re-worked. Originally developed for data science ...

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 ...

Python is great for data exploration and data analysis and it’s all thanks to the support of amazing libraries like numpy, pandas, matplotlib, and many others. During our data exploration and data ...

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 alternative, you ...

Jupyter creates interactive documents to mix code, text, and graphics. Jupyter is popular for sharing code and results in ...

What is a Jupyter Notebook? A Jupyter Notebook is an incredibly powerful tool for interactively developing and presenting Physics projects. A Notebook integrates code and its output into a single ...

Sept. 7, 2023 — Anaconda has announced the public release of Anaconda Assistant, an AI-powered Jupyter notebook extension designed to enhance the productivity of data scientists, developers, and ...

"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.

At some point, we all need to show our work. Most programming work is shared either as raw source code or as a compiled executable. The source code provides complete information, but in a way that’s ...