I just listened to a very thought provoking and insightful talk by @gvwilson on Software Design for Data Scientists.
Some key takeaways that I am going to try to build into my courses this year from it in this 🧵
1. I am going to get students to read and critique more of other people's code. I already do a bit of peer review, but I am going to have them review more professionally/expert written code at different stages of development/refactoring.
2. I am going to try to explicitly teach the patterns of widely-used abstractions. Again, more examples of others' code should help. But I will need to design some exercises to engage students with the examples.
Life for me went back to fairly normal in early June when I got childcare back. Everyday since then I have felt grateful &guilty - I know others have not been so lucky.
Today my kiddo woke up with a cough. Luckily we had a super speedy negative COVID test in #Vancouver#BC. 1/2
However, we have no childcare again until symptoms resolve. This has been an emotional day, and a stark reminder of the "new normal" of our lives. That we need to plan ahead, and have strong supportive work networks that let us attend to family and health when we need to. 1/3
I realize and aware of how lucky I am to have childcare to go back to, live in a place where we could get a quick and easy test and an amazingly supportive team (@UBCMDS you are the best). All of this made today much easier than it would have been otherwise. 1/4
Has any R/Python mixers successfully used tinytex with jupyter nbconvert for converting .ipynb to pdf? Trying to simplify the @UBCMDS#DataScience install stack...
OK, it's possible! I just need to install a bunch of other LaTeX pacakges... Apparently you need many more packages to convert the same markdown text and inline LaTeX math formulas in jupyter than in Rmd... 🤷♀️