🍀 Lucky
Good morning!
Welcome to the nineteenth 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
[New Regime for Data House Calls] Given the diversity of topics folks have brought to Data House Calls, and DaSL’s desire to meet people where they are at (in a hybrid and time-aware sort of way), we've shifted the format to ensure that everyone has some focused time to discuss their specific questions. This was a huge success last week! If you have questions about anything data-related, from here on out you can, at any time, schedule a Data House Call via the link above.
[Event: Effective Computing Drop in Hour] Wednesday 3/15 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.
Our Weekly Bookmarks Bar
[WebR: Run R in the Browser] No need to install R locally when you can run it in the browser! Also checkout similar project for Python: Pyodide and PyScript.
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