Summarizing the mid-term feedback for Geo-Python 2019.
- All in all the mid-term feedback was very positive!
- Lesson videos and exercises get many thanks
- Many students are eagerly wainting for the "GIS stuff" - we will dive into GIS processes during Period 2! :)
- Pace of the lessons seems to be mostly ok. For some of the students (those who have done programming before), the pace is too slow, and for some of the students the pace is borderline too fast.
- Spesific lessons, such as the Git lesson would require more time, and a different approach!
- Some of the students find the first lessons (too) simple.
- There is still some confusion with all the environments we are using (webpages, CSC, Jupyter Lab etc.)
- thanks for all the positive feedback and useful suggestions! We are continuously developing the course forwards
- this is a beginner level course, that forms the basis for more advanced content in period 2. We are taking things (rather) easy during the first weeks so that no one would be left behind.
- Of course, we hope to provide useful content and enough challenge for those who already have some programming experience :)
- Jupyter notebooks and Jupyter Lab are great! :)
- Using Jupyter Lab trough CSC notebooks allows everyone to have an identical working environment (in stead of setting up things on 100 different laptops). This makes it easier to organize the interactive lessons, and allows us to start programming from week 1 withouth too much technical hassle. Of course, we encourage you to install Python also on your own machine at some point.
In stead of highlighting individual quotes from the feedback, we tested how the feedback would look like as wordclouds :D A wordcloud summarizes a bunch of text, calculates word frequencies. The more popular the word, the bigger the text in the word cloud.
Word cloud plotting is based on this tutorial: https://www.datacamp.com/community/tutorials/wordcloud-python
Source code for generating the word clouds is available in mid-term-feedback.ipynb :)




