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May 2018

Tableau Public

May 30 @ 11:30 am - 1:30 pm

Overview of visualization software. Taught by Zoe Borovsky (Library) and Suvra Mostafa (Digital Research Project Assistant, Master of Social Sciences candidate)

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Running Applications on the Hoffman2 Cluster: An Introduction

May 30 @ 2:00 pm - 4:00 pm

The Hoffman2 cluster is a powerful computational resource for the UCLA research community. This class is designed to clarify the process of porting your own applications on the cluster or using applications already available on the cluster. It also addresses how to port your workflow to the Hoffman2 and how to submit batch and run interactive applications.

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Introduction to Jupyter Notebooks

May 31 @ 1:00 pm - 2:00 pm

The Jupyter Notebook is a computing tool that allows users to edit and run Python, R, Julia (and many other programming languages) inside a web browser.  Furthermore, it is a powerful tool that allows users to combine live code, text, and visualizations in an interactive, shareable, reproducible document. It has been growing in popularity in many scientific and research disciplines as a data exploration and analysis tool that encourages collaboration and reproducible science.  This class will provide an interactive demonstration…

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Using Jupyter for Education

May 31 @ 2:00 pm - 3:00 pm

Jupyter tools are increasingly being used for educational purposes.  With Jupyter notebooks, teachers can share documents that are interactive and combine narrative text, code, multimedia, equations, and data analysis and visualization.  With nbgrader, they can create gradable notebooks and automate the distribution/grading process, and with JupyterHub, they can provide a Jupyter environment to students that doesn’t place any demands on the students’ computational sophistication or resource availability.  This class will take an interactive tour through several educational Jupyter notebooks from…

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Using Jupyter for Research and Collaboration

May 31 @ 3:00 pm - 4:00 pm

The Jupyter notebook can be a programming and data analysis tool, but it can also be a method to document and save an analysis workflow, to share analysis routines and workflow with peers, and to publicize the data analysis contained in articles.  Notebooks store and encapsulate computational thinking and processes in a manner that allows them to be retrieved, re-used, and distributed to others. This class will demonstrate how to take advantage of Jupyter for research and collaboration, including methods…

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