On Monday, July 24, 2017, kirby urner <kirby.ur...@gmail.com> wrote: > > I turned down a $600/day 3 day gig I might not have got anyway, because > the textbook goes twelve chapters with no 'class' keyword, and that would > define the full complement of our topics. My code of conduct forbids > teaching Python that way. >
+1. - "Namespaces are one honking great idea -- let's do more of those!" - Classes are dicts with MRO. https://en.wikipedia.org/wiki/C3_linearization#Example_demonstrated_in_Python > The whole point of OOP was here's a way we think in natural language: > about Things with properties and behaviors. > Maybe 'classes and instance of classes'. class Book(object): pass; book_instance = Book() > Maybe some people don't like to be "objectified" and it's true, that can > mean something bad, but in the context of the Django ORM, it means an > integrated object has the records. > ActiveRecord and DataMapper are both popular ORM patterns. From https://wrdrd.github.io/docs/consulting/knowledge-engineering#object-relational-mapping : Object Relational Mapping⬅ Wikipedia: https://en.wikipedia.org/wiki/Object-relational_mapping - https://en.wikipedia.org/wiki/Data_mapper_pattern - https://en.wikipedia.org/wiki/Active_record_pattern https://en.wikipedia.org/wiki/Object-relational_impedance_mismatch - https://en.wikipedia.org/wiki/List_of_object-relational_mapping_software > The patient, the athlete, the student object, comes with a medical > history. Lots of SQL behind the scenes. > Medical history as a schema / informatics example and Python: - GNUhealth - (an actual application (with an install procedure and/or just Docker) with example/test data) - https://en.wikibooks.org/wiki/GNU_Health/Different_ways_to_test_GNU_Health#Option_4:_Run_GNU_Health_from_Docker_.28Lightweight_Containers.29 - https://hub.docker.com/r/mbsolutions/postgres-gnuhealth/~/dockerfile/ - https://en.wikibooks.org/wiki/GNU_Health/The_Demo_database - https://hg.savannah.gnu.org/hgweb/health/file/tip/tryton/backend/fhir/server/fhir/patient.py - lots of XML (which can be digitally signed) - lots of boilerplate - (this is in the the server API) Normalization to records (rows) with fields (columns) and keys (identity) AND/OR Denormalization to composed, often nested, signable records (See: JSONLD, ld-signatures, blockcerts) > Rollicking good debate over on math-teach as we exult over the huge > numbers turning out to take AP CS.[1] The Learn to Code movement is > succeeding, has gained traction. The Coding with Kids that I work for has > likewise spread to several more cities, and any successful business model > attracts imitators (CwK has a great website for faculty, lets us track > everything, including our hours). Is code school the new high school? > > https://medium.com/@kirbyurner/the-plight-of-high-school- > math-teachers-c0faf0a6efe6 > (an essay coming up on its first anniversary) > > The $600/day gig was teaching adults (andragogy vs pedagogy), over the > wire, which is how I've been making ends meet. > > Unfortunately for me, a truck pulled up across the street and started > moving wires from pole A (the old one) to pole B (the new one) and wouldn't > ya know, my Internet, which goes right through there, cut out. > > The crew said "not us" (what are the chances?) and took off. CenturyLink > is coming tomorrow, but will they have a long enough ladder? I've gotta do > my wind-up session 10 of 10 for the Californians. Patrick offered me his > office (Comcast). I'm tethered to Internet through my cell phone as I write > this (not enough bandwidth for live screen and audio though). > > We introduce Python classes early because that's the promise of OOP. > We could start with import unittest class Shape(): class Square(): class Rectangle(): class Triangle(): # def area(*args, **kwargs): # def circumference(*args, **kwargs): ... https://westurner.github.io/2016/10/17/teaching-test-driven-development-first.html > To sucker for that "ontogeny recapitulates phylogeny" thesis, that we need > to slog through a whole semester of procedural programming, before we make > a single instance of something, is impossible in practice, at least in > Python, as just about everything one touches is an instance of something. > This textbook seems to hearken from that era (fortunately receding in the > rear view mirror). > > You'd think in Java at least it'd be classes right out of the gate as one > can't but extend a class to get anything done. > > Python's the same way of course; I think of functions as another type, > canned (built-in), with their own syntax, but an instance of the > FunctionType nonetheless. > FunctionType type annotation: https://github.com/python/typeshed/blob/1e04a8c1b8b2c7a1fc3d9fcfbc2d3d8ba2dc933a/stdlib/3/types.pyi#L25 > > Out here in Code School world, the pressure is on to teach Python in two > main ways: as a web development language, using projects like Flask and > Django, and as a Data Science tool, using pandas, numpy, Jupyter Notebooks > and mathplotlib -- but then when it comes to visualization tools, there's a > plethora of 2D options. Great talk on this at Pycon2017. > Mayavi (VTK), Blender > I've always been more a 3D guy myself, writing to POV-Ray and later Visual > Python. I had a good experience getting vpython over anaconda and > embedding same in a Notebook, but that was a while ago. No one pays me for > 3D stuff. > http://holoviews.org/ (Bokeh, Matplotlib, Plotly) > > Maybe we should learn to do stats that way, using more 3D models than we > do. Fly through. > We manage to understand so much about data through 2D (+time) visualizations that don't have 3D camera and viewport parameters to just reset to the best view. That said, these 3Blue1Brown professionally animated math videos are outstanding (and sponsored!): https://www.youtube.com/channel/UCYO_jab_esuFRV4b17AJtAw > > Not just physics should have all the fun. As it is it seems precious few > physics teachers take the "coding a physics engine" approach. Maybe > Carnegie Mellon? I'm far from omniscient. > https://en.wikipedia.org/wiki/General_relativity#Relationship_with_quantum_theory - /search computational physics and python - /search physics simulation and python - http://vpython.org/ - https://docs.blender.org/manual/en/dev/physics/ - Are there other good tools in {Python,} for evaluating complex systems at a point in time? (I think we've had a similar discussion in the past.) > Hey, TinkerCAD is loads of fun for simulating an Arduino, a great sandbox > if you don't have all the components. I've made some screencasts showing > that. [2] > Recently, I learned about LeoCAD (because LEGOs and a bricklayer.org presentation): https://github.com/westurner/wiki/wiki/bricklayer#bricklayer-jupyter-extension > > The Learn to Code movement is having a big impact, to summarize. > "Nine Policy Ideas to Make Computer Science Fundamental to K-12 Education" https://code.org/files/Making_CS_Fundamental.pdf > > Kirby >
_______________________________________________ Edu-sig mailing list Edu-sig@python.org https://mail.python.org/mailman/listinfo/edu-sig
