On Wednesday, February 21, 2018, A Jorge Garcia via Edu-sig < edu-sig@python.org> wrote:
> I tried using Jupyter Notebooks last year with my Calc and preCalc > students last year. However, I'm using CoCalc.com which is Sage Math > Cloud gone commercial. It was free to use for a while. However, if you use > it regularly as I have, you get a big red banner across the screen telling > you to subscribe for $5 per month per user. Well, I have about 100 students > and can't afford $500 per month and neither can my school, so we are back > to using sagecell.sagemath.com for now. > How many quota'd Docker container does it take to serve JupyterHub for 100 students? It may be easier to copy a configured conda env ZIP to each PC? https://jupyterhub.readthedocs.io/en/latest/ > Regards, > AJG > > Sent from BlueMail <http://www.bluemail.me/r?b=12095> > On Feb 21, 2018, at 9:03 AM, Perry Grossman <perrygrossman2...@gmail.com> > wrote: >> >> I am thinking of doing a simplified interactive presentation on >> probability and Bayesian statistics for my kids' elementary school. >> I think it would probably be best for 6-8th graders, but there might be >> ways to do this for younger students. >> I'd like to run some Python code to show probability distributions and >> statistics. >> >> I am thinking of simplified examples from these works: >> >> Maybe the dice problem, or the cookie problem here: >> Allen Downey - Bayesian statistics made simple - PyCon 2016 >> <https://youtu.be/TpgiFIGXcT4?t=1741> >> >> A friend also suggested doing an analysis of how many cards (e.g. >> pokemon) that one might need to buy to colleft the whole set. >> >> Any suggestions on how to make this manageable approachable for kids? >> >> Perry >> >> >> On Feb 20, 2018 12:02 PM, <edu-sig-requ...@python.org> wrote: >> >>> Send Edu-sig mailing list submissions to >>> edu-sig@python.org >>> >>> To subscribe or unsubscribe via the World Wide Web, visit >>> https://mail.python.org/mailman/listinfo/edu-sig >>> or, via email, send a message with subject or body 'help' to >>> edu-sig-requ...@python.org >>> >>> You can reach the person managing the list at >>> edu-sig-ow...@python.org >>> >>> When replying, please edit your Subject line so it is more specific >>> than "Re: Contents of Edu-sig digest..." >>> >>> >>> Today's Topics: >>> >>> 1. if I taught high school calculus today... (kirby urner) >>> >>> >>> ---------------------------------------------------------------------- >>> >>> Message: 1 >>> Date: Mon, 19 Feb 2018 19:50:28 -0800 >>> From: kirby urner <kirby.ur...@gmail.com> >>> To: "edu-sig@python.org" <edu-sig@python.org> >>> Subject: [Edu-sig] if I taught high school calculus today... >>> Message-ID: >>> <capjgg3q5xvmssiwafnsq928eiygkyi7xmmqibsi4fm9-1_h...@mail.gm >>> ail.com> >>> Content-Type: text/plain; charset="utf-8" >>> >>> I was a high school calculus teacher (also algebra, geometry, trig) first >>> job outta university, stuck with it for two years. >>> >>> Fast forward to almost age 60, and I'm teaching coding to middle >>> schoolers, >>> thinking it's all still math. [1] >>> >>> Shouldn't take a "computer scientist" to cover this stuff... Algorithms >>> are >>> algorithms after all. >>> >>> Were I to teach calculus today, in light of what I now know, I'd focus on >>> probability density functions right when we get to integration, as "area >>> under the probability curve" is precisely how we figure out chances of >>> something happening. >>> >>> We would use Jupyter Notebooks with SciPy, all free & open source. >>> >>> As I recall, our calc curriculum never did much to bridge to statistics, >>> but in SciPy / NumPy, every continuous probability distribution function >>> (PDF) comes with a cumulative distribution function (CDF) that's defined >>> exactly as a definite integral between A and B, and giving the >>> probability >>> some x in distribution X falls between A and B. >>> >>> Forming a bridge twixt calculus and data science would be another >>> strategy >>> for getting scientific calculators to share the road, with more relevant >>> free tools (always an ulterior motive for me). I don't think a TI is >>> able >>> to do definite integration over a standard normal curve. >>> >>> Actually, I see I'm wrong: >>> http://cfcc.edu/faculty/cmoore/TINormal.htm >>> >>> Oh well, back to the drawing board. I still think a strong tie-in twixt >>> calc and data science makes a lot of sense at the high school level. With >>> or without Jupyter Notebooks. >>> >>> Kirby >>> >>> PS: right now I'm going through Allen Downey's tutorial on Bayesian >>> stats >>> using the above mentioned tools, from Pycon 2016: >>> https://youtu.be/TpgiFIGXcT4 >>> I attended this conference, but didn't manage to make this tutorial. >>> >>> [1] I've shared this before, still relevant: >>> https://medium.com/@kirbyurner/is-code-school-the-new-high-s >>> chool-30a8874170b >>> >>> Also this blog post: >>> http://mybizmo.blogspot.com/2018/02/magic-squares.html >>> -------------- next part -------------- >>> An HTML attachment was scrubbed... >>> URL: <http://mail.python.org/pipermail/edu-sig/attachments/201802 >>> 19/d9e2f965/attachment-0001.html> >>> >>> ------------------------------ >>> >>> Subject: Digest Footer >>> >>> _______________________________________________ >>> Edu-sig mailing list >>> Edu-sig@python.org >>> https://mail.python.org/mailman/listinfo/edu-sig >>> >>> >>> ------------------------------ >>> >>> End of Edu-sig Digest, Vol 174, Issue 1 >>> *************************************** >>> >> ------------------------------ >> >> Edu-sig mailing list >> Edu-sig@python.org >> https://mail.python.org/mailman/listinfo/edu-sig >> >>
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