The popular Python Study Group is hosted by ETHOS Lab again this semester, taking place on (changed to) Tuesdays from 17:30 – 19:30 (room 5A14-16) starting 29th Sept 2020 – first session is online on Discord.
There will be 8 weeks of sessions (excluding Fall Break in week 42, Wednesday 14th October)
We will meet the first time Tuesday 29th September and last session is 25th November. The community-centred learning will revolve around the book ‘Learn Python the Hard Way’ and no prior programming skills are required to participate.
Sign up for this semester is closed but if you have any questions, please contact ETHOS Lab’s Python Study Group coordinator, Veronika Skotting at VESK@itu.dk.
Please also read below for more details about the kind of learning environment the study group aims to be.
About Python Study Group
The purpose of the study group is to gather a community of people interested in learning the programming language Python. It doesn’t matter if you are a newbie or programming wizard. Everyone is welcome and we encourage both beginners and more advanced programmers to join. The idea is to create a structured learning environment where we mutually help each other on the path to understanding the programming better.
In other words, we encourage everyone to take the notion of a study group to heart: ETHOS Lab facilitates a space where those attending the study group support each other to learn Python, while ETHOS Lab does its best to provide volunteers who are knowledgeable
ETHOS Lab uses experimental digital methods for analyzing social media data and therefore has an interest in hosting the python group. Although, it is also considered a service to the current students’ needs for exploring a dynamic programming language that can be used for many purposes. In our work with data and digital methods, we often come across digital tools, which require certain knowledge about programming in Python. In light of this, we started the egalitarian study group in 2015, and we hope to be able to continue the exploration of possibilities using Python.