I have a draft of a concise py book for data people which i am preparing, might be useful to you.
https://drive.google.com/file/d/1IKLBuJJWQKvcTWu-REsgm-JUGSvytBUu/view?usp=drivesdk Abdur-Rahmaan Janhangeer http://www.pythonmembers.club | https://github.com/Abdur-rahmaanJ Mauritius On Wed, 20 Nov 2019, 20:54 Göktuğ Kayaalp, <s...@gkayaalp.com> wrote: > Hi all, > > I am responsible of giving my colleagues in from linguistics MA > programme an intro to Python, and programming, with a focus on > statistics. It’ll be a single lecture, and I probably won’t be able to > do more than give some demos and then some pointers to actually properly > learn how to use the tools. > > The problem is I’m a rather techie power user and my audience the exact > opposite, so I feel like I could make use of some guidance as to how to > bridge the gap and be useful. > > I want to stick to Python 3, demo them a few basics of programming, then > how to use matplotlib, Jupyter notebooks (is this what IPyNBs became?), > and some descriptive statistics. All this needs to happen within the > span of a single lecture (tho if people are interested I’ll offer to do > a few more in our own time), so 45min~1h. > > 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. I feel like choosing one of the distros is a good idea: I could > just put the installers on a USB and hand it out, or just send them a > message with simple steps to follow and set themselves up beforehand. > Thing is, IDK nothing about distros. Anaconda seems to be the best > options, but comes with complications like an IDE, as opposed to just > working with notebooks, and is huge. Also, seems to include R stuff. > Spyder looks nice, but I don’t want to freak people out with such an > unfamiliar environment as an IDE just within the first few moments they > encounter programming. These are all humanities people. Another > problem is that Anaconda has ‘conda’, a non-standard package manager, > and I’m kinda vary of introducing that to people: should I talk of pip, > should I leave it out? I feel like I should just stick to pip and leave > conda out, but IDK. Python(x,y) is interesting, but it’s apparently > Py2k only, and that’s a no-no. > > So, am I better off telling people to install Anaconda, or plain Py3k + > a selection of packages (which maybe I make into a .zip or something)? > > Then, I need good pointers to hand out: links to good introductions to > Python, programming, and statistical use of Python. Thing is, I’ve > always learned the hacker way, i.e. skip the docs, tinker with stuff. > Thus, IDK of any good resources out of experience, and I want to ask you > all for some recommendations. I prefer free and tutorial-like stuff, > but I’ll teach them how to use the stdlib reference too. > > What are some good self-teaching material for those who are new to > programming and Python, and need to mainly do statistics with > experimental data? > > Finally, I’m looking for recommendations on what to show and how. My > current master plan is > > - what’s the use of programming for a linguist > - an abstract idea of what programming is > - basic intro to Python syntax > - demo how to load and clean up some data > - demo matplotlib > - demo jupyter notebooks > - compare with alternatives: R, SPSS, other? > - briefly refer to libraries for > - NLP > - AI? > - lots of links on > - how to learn enough coding for number crunching and plotmaking > - how to make use of stdlib reference > - how to find and utilise packages and their docs > - ...? > > I plan to produce a handout with all this info neatly organised, and > just go with a (few) Jupyter notebooks for the rest (resisting hard the > urge to go in with Emacs Org Mode instead :)). > > I’m looking forward to any recommendations from youse. The deadline is > about a month and a half away, and I really want to give people > something operationable. People are stuck with BS like SPSS, too simple > and too pricy, when a few lines of Python (or R) is all they need. I > came here because IDK teaching about this stuff, and I haven’t left the > comfort zones of a programmer ever before, so this is some new > experience for me and I don’t want to botch it. > > Thanks a lot in advance, > > Göktuğ. > > -- > 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 > -- https://mail.python.org/mailman/listinfo/python-list
