
Python Code Cleanup: Tackle These 10 Common Issues
Registration
Registration is now closed (this event already took place).
Details
Workshop format: Presentation with hands-on exercises.
Target audience: Researchers and students looking to improve their Python coding skills.
Knowledge prerequisites: Some experience with basic Python.
Hardware/software prerequisites: Participants will need to run Jupyter notebooks. This can be accomplished by (1) having a local installation of Anaconda Python, (2) using Google Colab or (3) using Juypter OnDemand on Adroit. For (1) see https://researchcomputing.princeton.edu/learn/workshops-live-training/requirements-picscie-person-and-virtual-workshops#jupyter. For (2) no action is required since Colab is available to all members of the university. For (3) request an account on Adroit: https://bit.ly/3wicSaH (VPN required if off-campus). Additional detail for Adroit can be found in this guide (https://bit.ly/3QER9Sv).
Learning objectives: Attendees will come away as better Python programmers.
Speakers
Troy Comi
Senior Research Software Engineer
Princeton University
Hosted By
Co-hosted with: GradFUTURES
Contact the organizers