*Reminder: September 7 ACM Talk on Project Jupyter and Large Scale Data Science*
If you haven't done so yet, register now <https://event.on24.com/wcc/r/1818551/31C075B8B757778F790379D1DF363E0A?partnerref=rembull> for the next free ACM Learning Webinar, "*Project Jupyter: From Computational Notebooks to Large Scale Data Science with Sensitive Data*," presented on *Friday, September 7 at 12 PM ET* by *Brian Granger*, Associate Professor of Physics and Data Science at Cal Poly State University and co-creator of Project Jupyter. Leave your comments and questions with our speaker now and any time before the live event on ACM's Discourse Page <https://on.acm.org/t/project-jupyter-from-computational-notebooks-to-large-scale-data-science-with-sensitive-data/879>. And check out the page after the webcast for extended discussion with your peers in the computing community, as well as further resources on Jupyter. (*If you'd like to attend but can't make it to the virtual event, you still need to register to receive a recording of the webinar when it becomes available*.) *Note*: You can stream this and all ACM Learning Webinars on your mobile device, including smartphones and tablets. Project Jupyter is an open-source project that exists to develop software, open standards, and services for interactive and reproducible computing. The main application developed by the project is the Jupyter Notebook, a web-application that allows users to create documents that combine live code with narrative text, mathematical equations, and visualizations. Since its creation in 2011, the Jupyter Notebook has become a widely-used, open standard for developing, sharing, communicating, and reproducing computational work in scientific computing and data science. In this talk I will give an overview of Project Jupyter and its open-source software and open standards for interactive and exploratory computing. Examples of its usage across a broad range of industries, disciplines and organizations will be used to illustrate the main ideas upon which Jupyter is founded. I will end by sketching our current work on JupyterLab, JupyterHub, and Binder and show how it is leading to 1) new challenges with large scale data science within complex organizations and 2) legal, ethical and technical questions regarding sensitive data. *Duration*: 60 minutes (including audience Q&A) *Presenter:* *Brian Granger*, *Associate Professor of Physics and Data Science at Cal Poly State University; Co-Recipient of 2017 ACM Software System Award* Brian Granger is an Associate Professor of Physics and Data Science at Cal Poly State University in San Luis Obispo, CA. His research focuses on building open-source tools for interactive computing, data science, and data visualization. Brian is a leader of the IPython project, co-founder of Project Jupyter, co-founder of the Altair project for statistical visualization, and an active contributor to a number of other open-source projects focused on data science in Python. He is an advisory board member of NumFOCUS and a faculty fellow of the Cal Poly Center for Innovation and Entrepreneurship. Along with other leaders of Project Jupyter, he is a winner of the 2017 ACM Software System Award. Visit *webinar.acm.org <http://webinar.acm.org/>* for our full archive of past webinars. Skip Cave Cave Consulting LLC On Tue, Aug 28, 2018 at 8:00 AM chris burke <[email protected]> wrote: > We do offer a Jupyter interface, it is just not yet updated for the beta. > > On Mon, Aug 27, 2018 at 7:56 PM Devon McCormick <[email protected]> > wrote: > > > I see that Dyalog offers a Jupyter interface but they do have more > > resources. > > > > On Mon, Aug 27, 2018 at 10:50 AM Eric Iverson <[email protected]> > > wrote: > > > > > Murray, > > > I agree that jupyter notebook for J has great potential. Unfortunately > > > Jsoftware does not have the resources for this project. For this to > > > flourish there will have to be non-trivial community interest and > effort. > > > > > > On Sun, Aug 26, 2018 at 4:02 PM Murray Eisenberg < > [email protected]> > > > wrote: > > > > > > > How does one use the jupyter-notebook front end to J807? > Specifically, > > on > > > > macOS. > > > > > > > > The link “download/jupyter’ at > > > > https://code.jsoftware.com/wiki/Guides/Jupyter < > > > > https://code.jsoftware.com/wiki/Guides/Jupyter> still points to > > > > http://www.jsoftware.com/download/jupyter/ < > > > > http://www.jsoftware.com/download/jupyter/> where only special > > packaged > > > > versions such as "JDemo_macOS_x64-64.zip” are available that still > use > > > > J805. > > > > > > > > And those JDemo versions have a different structure than standard J > > with > > > > respect to distribution of files between the application and the > user. > > > > Namely, > > > > JDemo/J805 includes a subfolder user and inside that, among other > > > things: > > > > > > > > - a “config" folder that includes some, but not all, > of > > > > the files normally found in j64-80x-user/config, namely, base.cfg, > > > > dirmatch.cfg, folders.cfg, qtide.cfg, style.cfg, userkeys.cfg; > > > > > > > > - a “projects” folder that would normally be found in > > > > j64-80x-user; > > > > > > > > - a “snap” folder that would normally be found in > > > > j64-80x-user; and > > > > > > > > - a “temp” folder that would normally be found in > > > > j64-80x-user. > > > > > > > > Is there not some nice way to either: > > > > > > > > (a) include the juypter interface with the distribution; or else > > > > preferably ... > > > > > > > > (b) include a suitable add-on that connects with a separate > Jupyter > > > > installation, e.g., the Anaconda distribution that’s recommended at > > > > jupyter.org/install <http://jupyter.org/install> ? (So then the > add-on > > > > would execute the “jupyter notebook” or similar command to start the > > > > jupyter server.) > > > > > > > > > > > > > On Thu, 23 Aug 2018 17:54:25, Eric Iverson < > [email protected] > > > > <mailto:[email protected]>> wrote: > > > > > > > > > > > > > > > J807 beta-i is now available for window/linux/macos. > > > > > > > > > > This is non-trivial, stable release. Please start using this as > your > > > > base J > > > > > system as appropriate, Your feedback is welcome and important. > > > > > > > > —— > > > > Murray Eisenberg > [email protected] > > > > Mathematics & Statistics Dept. > > > > Lederle Graduate Research Tower phone 240 246-7240 (H) > > > > University of Massachusetts > > > > 710 North Pleasant Street > > > > Amherst, MA 01003-9305 > > > > > > > > > > > > > > > > > > > > > ---------------------------------------------------------------------- > > > > For information about J forums see > http://www.jsoftware.com/forums.htm > > > ---------------------------------------------------------------------- > > > For information about J forums see http://www.jsoftware.com/forums.htm > > > > > > > > -- > > > > Devon McCormick, CFA > > > > Quantitative Consultant > > ---------------------------------------------------------------------- > > For information about J forums see http://www.jsoftware.com/forums.htm > ---------------------------------------------------------------------- > For information about J forums see http://www.jsoftware.com/forums.htm ---------------------------------------------------------------------- For information about J forums see http://www.jsoftware.com/forums.htm
