🦉 Superb Owl
Good morning!
Welcome to the fifteenth ever issue of Monday Morning Data Science from the Fred Hutch Data Science Laboratory. We are excited to show you what we have been working on (Fresh from the Lab), plus links that we think you would be interested in (Our Weekly Bookmarks Bar). Part of the purpose of this newsletter is to start conversations, so if you have a question or there is something you would like to share with us please let us know by responding directly to this email.
Fresh from the Lab
[Event: Data House Calls] Wednesday 2/15 at 10am we’ll have our weekly Data House Calls drop in hour on Teams. Drop by to talk about needed support for data challenges, coding challenges, computing questions, data management, etc. If the DaSL team can’t help you, they will be able to ping several other folks with different skill sets (including SciComp, the DaSL training group, the Hutch Data Core, etc) and get the right connections for you.
[Event: Effective Computing Drop in Hour] Wednesday 2/15 at 2pm the Effective Computing user group will meet again (they meet every other week) in room M1-B406 and here on Teams. The focus is on learning about how to scale up your computing work from your laptop to whatever scale meets your needs. This group is hosted by the Fred Hutch DaSL in collaboration with the Hutch Data Core and Scientific Computing.Â
Our Weekly Bookmarks Bar
[Free Online Event: Data Mishaps Night] One of our favorite annual online data science events is returning for its third iteration: make sure to sign up for Data Mishaps Night hosted by Caitlin Hudon and Laura Ellis featuring friends of the lab Roger Peng and Emily Robinson.
[Blog Post: GPT in 60 Lines of Python] Jay Mody will show you how to implement your own ChatGPT! Apparently this is just something that computers do now.
As always you can contact us by replying directly to this email, you can email Jeff Leek, Amy Paguirigan, and Sean Kross at data@fredhutch.org, or you are welcome to join us on the Fred Hutch Data Slack Workspace. For more information about the Fred Hutch Data Science Lab, visit our website: https://hutchdatascience.org/. See you next week!
- The Fred Hutch Data Science Laboratory