Fondren Library

Fire & Flood Panel Discussion

Join us on April 1 at 7 pm for an exciting virtual panel discussion about the documentary “Fire & Flood: Queer Resilience in the Era of Climate Change.” The panel will feature Vanessa Raditz, director of the documentary; Kennedy Loftin, chief development officer at the Montrose Center; and Rice anthropology graduate student Kristin Gupta. Fondren Library will provide people who sign up for the panel access information to watch the film in advance.

Finding Hope in Extreme Weather

Join us for “Finding Hope in Extreme Weather” Wednesday, Dec. 2 from 1-2pm

This talk by Rev. Vernon K. Walker, Program Manager of Communities Respond to Extreme Weather, will focus on how social resilience is climate resilience. Rev. Walker will also talk about how climate change is part of social justice and will discuss some of the ways to prepare for extreme weather as a community.

Justice and Transformation: Houston Women on Climate Action

From fires to floods, the consequences of climate change are increasingly evident, and underserved communities often face the most severe impacts. Inspired by Dr. Ayana Elizabeth Johnson and Dr. Katharine Wilkinson’s All We Can Save: Truth, Courage, and Solutions for the Climate Crisis, this virtual panel discussion will bring together four Houston women whose work addresses climate justice: Dr. Denae King (TSU), Dr.

Voter Registration

Get registered to vote! The TX deadline is October 5, 2020.

Register to vote and learn everything you need to be a voter this year! Rice Volunteer Deputy Voter Registrars (VDVRs) will be outside the Fondren academic quad entrance (weather permitting) with voter registration forms, information, and more. Come by if you need to register to vote or have any questions!

Parallel Python

So you’ve gotten really good at python. Your algorithm is perfect, your data is clean … and it takes hours to run. In fact, you just realized that you could be running this in a dozen different ways by tweaking some parameters, but that would take days to run … if you get really lucky and it completes with no errors. It’s time to parallelize your code. In this class, you will learn a couple basic methods for parallelizing your code and completing your jobs in a fraction of the time. Prior experience with python is strongly recommended.