That link to GitHub Learning Lab should be: https://lab.github.com/ - https://lab.github.com/githubtraining/introduction-to-github (57m) - https://lab.github.com/githubtraining/github-actions:-continuous-integration (171m) - https://lab.github.com/githubtraining/continuous-integration-with-travis-ci (79m) - You can generate a whole project skeleton with CI, tests, and all in like 2 minutes: pip install cookiecutter cookiecutter https://github.com/audreyr/cookiecutter-pypackage cookiecutter gh:audreyr/cookiecutter-pypackage cookiecutter https://github.com/drivendata/cookiecutter-data-science - https://lab.github.com/githubtraining/create-a-release-based-workflow (90m)
On Fri, Apr 10, 2020 at 5:52 PM Wes Turner <wes.tur...@gmail.com> wrote: > > > On Fri, Apr 10, 2020 at 4:40 PM kirby urner <kirby.ur...@gmail.com> wrote: > >> >> Thank you very much for the pull requests Wes! I got notification by >> email. >> >> They may be against a version that no longer exists, but no matter. >> We're gonna poke around live on camera, starting in about 30 minutes. We go >> for 2.25 hours with one or two breaks. >> > > Cool. Good timing > > >> >> I'm taking my campers right into my mailbox and showing through Github >> how it all might work, even if I don't actually make it work. >> >> I've got the Daniel Shiffman "Git for Poets" playlist queued up through >> [the main Notebook]( >> https://github.com/4dsolutions/python_camp/blob/master/PyCampNextLevel.ipynb >> ). >> >> Providing opportunities to soak up knowledge about Git and Github has >> been a primary focus of this camp. >> > > GitHub has resources for learning Git and GitHub: > https://try.github.io/ > https://lab.github.io/ > > I can't recommend Learn Git Branching enough: > https://learngitbranching.js.org/ > > >> >> My two cohorts so far have differed quite a bit in character. >> >> The first group featured teens eager to dive into deep topics, per the >> camp blurb, and got antsy when I didn't talk machine learning right away. >> This might be too much a camp for noobs. I didn't have the Jupyter >> Notebook four day outline yet. They're nervousness is partly what drove me >> to get it out there, reassure them our content would match the camp >> description. >> > > https://jakevdp.github.io/PythonDataScienceHandbook/ > https://github.com/jakevdp/PythonDataScienceHandbook > - Launch in Binder, Colab links > > >> >> The second group is younger, considers itself adept and into programming, >> yet is patiently learning a lot of core Python. One camper had worked with >> his dad on solving that "1/3 --> float" problem. I incorporated their code >> verbatim as a part of our shared process. >> > > IMHO, your strategy for finding answers to questions is maybe the most > important aspect of learning to code: > > - find the docs and bookmark them > - find the source and bookmark it > - list every possible word for the thing you're describing > - try adding "double quotes" around certain terms and error messages > - exclude with minus: -"this or that" > > ### Mailing Lists > - Google search with "site:mail.python.org" and/or "inurl:" queries > https://www.google.com/search?q=site%3Amail.python.org > (inurl doesn't match mm3-migrated lists too) > - Google Groups, if the list is set up there too > - Gmail "list:python.org" queries > - This doesn't find messages that you didn't receive because you weren't > subscribed yet. > - Gmail "from:l...@mail.python.org" queries > - This doesn't find messages that you didn't receive because you weren't > subscribed yet. > - Markmai:l "list:org.python.edu-sig" queries > https://markmail.org/search/?q=list%3Aorg.python > https://markmail.org/search/?q=list%3Aorg.python.edu-sig > > [1] "[Edu-sig] Learning Code IRC for kids?" > [2] "REQ: HOWTO mailing lists resources" > > >> >> I've never shared about the construct manager construct with like middle >> schoolers before, however that's a big part of the plan for today. I >> [showcase that construct]( >> https://github.com/4dsolutions/python_camp/blob/master/ContextManager.ipynb) >> for >> connecting to / working with / disconnecting from databases (in our case >> sqlite3 databases). I tell them they're previewing the high school of >> tomorrow. >> > > Is this how context managers work? > > ```python > class MyManager: > def __enter__(*args, **kwargs): > print("entering") > print((args, kwargs)) > > def __exit__(*args, **kwargs): > print("exiting") > > def hello(*args, **kwargs): > print("hello") > > with MyManager(1, two="three") as mgr: > mgr.hello() > ``` > > https://www.google.com/search?client=firefox-b-1-d&q=site%3Adocs.python.org+context+manager > - > https://docs.python.org/3/reference/datamodel.html#with-statement-context-managers > > Can't remember whether args go to __init__ to __enter__ > > >> >> The School of Tomorrow is a neighboring repo, and crosslinks (hyperlinks) >> between that, and this camp, have already appeared. >> >> My recommendation to campers starting from day one is they: >> >> (a) install git locally >> (b) git clone the camp repo >> (c) create a Github account >> (d) fork the camp repo >> (e) git clone the forked camp repo >> >> Then they should treat the (b) structure as something to keep updating >> with git pull. Treat my version of the repo as read-only. >> > > So you have two working directories; instead of one working directory with > multiple remotes (git remote -v) > > In my .gitconfig, I have an `r` alias, so I can just type `git r` and it > runs `git remote -v`: > https://github.com/westurner/dotfiles/blob/master/etc/.gitconfig > > >> >> However, they can modify and elaborate on their own version of the forked >> repo (e), and push changes at will. Harvest ideas from my updates for their >> own works in progress. Share links to their own repos through Zoom chat. >> > > Do you give feedback with pull requests? > AFAIU, GitHub Classroom improves the PR for feedback workflow tremendously. > > >> >> My schedule is such that I'm expected on more week of piloting this >> curriculum, then shelving it to work on something more data science >> oriented, returning to the kid camp scene in early June. I'll be looking >> for ideas on how a strong data science course should go, assuming beginners >> but with some Python experience. Obviously we'll be using numpy, >> matplotlib, sklearn and like that. >> > > https://github.com/trending/jupyter-notebook > > My notes w/ links and resources for data science: > https://wrdrd.github.io/docs/consulting/data-science# > > >> >> Kirby >> >> >> _______________________________________________ >> Edu-sig mailing list -- edu-sig@python.org >> To unsubscribe send an email to edu-sig-le...@python.org >> https://mail.python.org/mailman3/lists/edu-sig.python.org/ >> >
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