Learning and sharing in a flexible, collaborative and interactive way
Jupyter is an integrative application that incorporates math, science and engineering tools, along with communication and visualization resources, in one web-based platform. Simply put: It enables a broad suite of computing capabilities on any device that has an internet connection. For free.
Cybera and the Pacific Institute for the Mathematical Sciences (PIMS) have teamed up to increase access to, and awareness of, Jupyter. Cybera is hosting the platform on its Rapid Access Cloud, and is offering free access (and advice on how to get started) to Canada’s public and innovation sectors.
Who Is Jupyter Useful For?
- Create “interactive textbooks” that allow students to actively work on math or data science problems.
- Learn and practice multiple programming languages, and log experiments, all in one place.
- Researchers and Academics
- Share scientific results and stories in a reproducible and easy to understand manner.
- Data Scientists
- Access readily deployed data science tools, and share your thought process, analysis, and code, all in one place.
- Create an online “lab book” to collaborate on projects, and communicate results to investors and stakeholders.
- An Alaska high school teacher used Jupyter to change the way "Introduction to Programming" is taught
- Nature article on researchers using Jupyter to keep detailed lab notes for their computational work (accompanying live notebook)
- The Laser Interferometer Gravitational-Wave Observatory has used a notebook to analyze data on the gravitational waves of two colliding black holes
- A coder reproduced and adapted Nate Silver’s election forecasting methods for anyone to use and build off of (sample notebook)
- An open code base with computational tools for economics, econometrics, and decision making using Jupyter.
Jupyter is freely available to any Canadians who want to trial it to see what it can do. Anyone with a Google account can access the tool.
- Visit intro.syzygy.ca for an introduction to Jupyter.
- To try out Jupyter for yourself, go to cybera.syzygy.ca.
- Share your thoughts on the discourse forum.
For further information, contact our Data Science team.