-
Hi, everyone.
The Mapping User Group will resume our biweekly meetings by next week. Our first meeting will be on Thursday Oct 6th, from 4-5pm. Here is the link for our sign-up form: https://forms.gle/Q1rcXrDqpnEbEBPy5
We would appreciate if everyone could sign up on that list, so we can keep track of how many people are expected to be present in the meetings for each data, and their respective programs.Additionally, you can let us know through this form if there is any specific dataset you would like to be working on in some of the meetings (either your own data you would need help with or a third party data you think would be interesting to create a map for). We have our tentative schedule for this semester below, with some topics lined up for each meeting, but these are totally open to change based on the demand of every person attending the meetings.
Oct 6th – Introductions and discussions on the scientific and social use of maps
Oct 20th – What do we need for mapping? Preparing your data
Nov 3rd – Discussion on softwares
Nov 17th – Hands-on with QGIS I
Dec 1st – Hands-on with QGIS II
Dec 15th – Okay, you made a map. What next?
Hope to see you there!
Public Group active 4 months, 1 week ago
PUG – Python User’s Group
Python User’ Group (or PUG for short) is an open and informal collaborative space for experimentation and exploration with the Python programming language. It is an opportunity for those interested in Python to work together virtually and find support. Whether you are looking for advice or assistance with new or current projects, looking to discuss and learn new skills using Python tools, or to join us to play around with our collection of sample datasets, PUG is your place!
PUG is open to people of all skill levels, disciplines, and backgrounds. Complete beginners to Python will find a place here. Come, and let’s learn together.
Join PUG Slack here: https://join.slack.com/t/pug-world/shared_invite/zt-iube7uch-nVkvtIyIbpaqtQSZcMB2Ig
PUG is cosponsored by the MA in Digital Humanities / MS in Data Analytics and Visualization programs and the Mina Rees Library.
To learn more, visit http://cuny.is/pug
