Python Data Science Meet Up

Talks from members of the Los Angeles Python Data Science community as well as food and drinks available! Presentations will be given by:

• Grant Nestor, a core developer for Project Jupyter and co-lead of the JupyterLab/Jupyter Notebook team. In this talk, Grant will introduce you to JupyterLab, the next-generation UI developed by the Project Jupyter team, and its emerging ecosystem of extensions. JupyterLab differs from Jupyter Notebook in that it provides a set of core building blocks for interactive computing (e.g. notebook, terminal, file browser, console) and well-designed interfaces for them that allow users to combine them in novel ways. For end-users, this enables dragging cells between notebooks or executing code blocks from a markdown file in a console. For extension authors, this enables rendering custom visualization for specific file types and mime types or using the Google Drive API to power real-time collaboration between multiple users of the same notebook. Grant will pack in as many demos as time allows and open up for questions at the end.

• Dr. Josiah Carlson Ph.D., an American Theoretical Computer Scientist, best well known for his book on Redis (Redis in Action), and his talks/open source libraries/public mailing list posts/blog posts related to Python, Redis, Lua, wxPython, and data compression. Innovation, cost, and laziness are the driving forces behind nearly all of today's technologies. Offerings in the ETL, data processing, and data science space continue to expand into new and old products alike. In this talk, we intend to discuss some advantages for existing solutions in the ETL/data processing/data science space, while thinking forward to where those technologies may be leading us in the coming years.