On 2019-11-21 10:02 GMT, Nick Sarbicki <nick.a.sarbi...@gmail.com> wrote: >> The simplest thing is to use the 3.8.0 python.org installers. This use >> pip to add anything you consider essential. > > As mentioned previously, you do need to make sure that they tick the box to > add Python to the PATH on windows. It is almost guaranteed someone will not > do that and will then have a very hard time figuring out what has gone > wrong (happens to me every time I teach). > > Considering that this is a lecture and not a workshop I'm assuming the > students aren't actively installing and running python while you are > teaching. In which case, whilst I would mention pip, I would probably just > have the required libs preinstalled on my computer ready to go. Learning > pip is easy to do and if they're interested later can be taught separately. > But watching someone installing packages on the terminal is not very > interesting. On the other hand if the students are actively following along > and running python within the lecture then they will obviously need to be > shown how to do this.
So I asked someone to try test installing Python 3 and using pip to install SciPy, and it failed even with my remote guidance. Hopefully I’ll have some time with a Windows PC in the coming weeks to test myself, but yeah, installation seems like it’ll be a problem. In our case we failed twice b/c we didn’t have vcredist and vc++ build tools, but still failed when we instaled them: IDK if it wants the entire Visual Studio, which is a whopping 20G of download. My plan is to prepare a guide for them to get set up on their computers, but not for the lecture. It’s informal, but I don’t really want to lose time with a small installfest. The instructions are aimed at easy set up after or before class only. Guess I can help those who fail later on private time... > Also whilst the remit of the lecture is to showcase how to do statistics in > Python, I wouldn't take this as an absolute limit. I would go through > examples of graphs, probably taking inspiration from > https://www.tylervigen.com/spurious-correlations and using something like > dash (https://dash.plot.ly/). I would also try to show more creative ways > of playing with data - for instance I worked on this project dedicated to > showing data using GIFs ( > https://datagifmaker.withgoogle.com/editor/racetrack - don't look too hard > at the representations though). These are some beautiful links, and especially that first one I’ll definitely use it for my Pearson Correlation mini-lesson next week, so thanks a lot! > But instead of spending a whole lecture explicitly on statistics I would > probably use the last 10 minutes showcasing other uses of Python which are > (apologies to those who find statistics utterly encapsulating) a bit more > interesting. For instance I have a <200 LOC game of pong (technically a > _graphical_ user interface) which is usually fun to showcase ( > https://gitlab.com/ndevox/pygame-pong/blob/master/pong.py). I'd also be > tempted to show off things like websites (which could display statistics > publicly), chatbots (which, if using something like an NLTK classifier, are > essentially statistical machines) etc. Think about what interests you the > most and see if you can display it on the screen in some way. > > Essentially whilst it is very important to show them to make graphs in > various ways, you'll probably struggle to captivate the entire audience > with this. Whereas ending with some slightly wilder but more enticing > examples can make those who weren't interested in the statistics want to > pay more attention to what you have been saying. > > - Nick > > On Wed, Nov 20, 2019 at 11:33 PM MRAB <pyt...@mrabarnett.plus.com> wrote: > >> On 2019-11-20 21:58, Terry Reedy wrote: >> > On 11/20/2019 11:09 AM, Göktuğ Kayaalp wrote: >> > >> >> The first problem is installation: apart from me, a Debian user, >> >> everybody has Windows or Mac laptops, and IDK how you install Python on >> >> them. >> > >> > The simplest thing is to use the 3.8.0 python.org installers. This use >> > pip to add anything you consider essential. >> > >> For Windows, I use "Windows x86-64 executable installer" for 64-bit and >> "Windows x86 executable installer" for 32-bit from >> https://www.python.org/downloads/windows/. >> -- >> https://mail.python.org/mailman/listinfo/python-list >> -- İ. Göktuğ Kayaalp <https://www.gkayaalp.com/> 024C 30DD 597D 142B 49AC 40EB 465C D949 B101 2427 -- https://mail.python.org/mailman/listinfo/python-list
