2 HN users recommended this comedy video2 months2018–2025score 2
Years with an HN recommendation, 2007–2026
HN recommends it as a funny piece on Excel used in ways it shouldn't be.
Matt Parker's stand-up routine about spreadsheets, taken from the Festival of the Spoken Nerd DVD Full Frontal Nerdity. It features Excel used in unexpected ways, including turning an image into a spreadsheet.
“you should probably see this Matt Parker video about excel being used in ways it shouldn't maybe?” (HN, 2023)
3b1b uses a python library for creating those videos. [link] As far as a math educator/communicator, one of my favorite videos of his is the video on the monster. [link] Also since we're talking about powerpoint here you should probably see this Matt Parker video about excel being used in ways it shouldn't maybe? [this video]
Warning: Bit of a 'Hitch hikers guide to the galaxy"/conway game of life yak shave for a reply. Nice start to providing a simple way to visually interact/experiment/manipulate different multiple Neural network concepts by loading/transforming any traditional code (working or not) & reshuffling/tesselating the structual representation of the code to generate a turing tape path via color execution paths. Switching to pi calculus could provide the theory to support coroutine/coprossing/ threading" multiple interacting tape paths/color combinations/path diffs/scaled recusion to perform assembly language instructions. Raster graphics without the yak ( [link] ) Feed back between tape & "traditional code" as neural network layer(s)! Flexiable code (via tessilations) without changing the actual imported source code! So, complete svg (tape interactions) web page as code source on how to interact with web page, ( [link] ) what's displayed/played, documentation & usage manual included within code structure! Unicode permits implied piping rich kern font without all the tech fluff. Unicode fails because allows infinate multics and is there for k&r incomplete. But, this approach is way more dimensional/colorful than unicode/tech stuff. ?? can one's code unintentially provide a wordle problem & solution in one package ?? ( [link] ) ?? turing complete fourier transforms [link] toolkit concepts: Neural networks / analog stuff : [link] perceptrons: [link] spreadsheets (: [this video] (turing spread
"Does it support / work with / used with" concepts: * a) VR "excel" version [link] * b) Turing machines / autonoma are assembly? [link] [link] * c) Way to make the files generated in bit more readable! [link] or perhaps convert to a 3d version of 'block/cell programming"-> [link] * d) Convert lambda functions to "normal, named functions"?? [link] * e) colors to text? [link] [link] * f) objectart to text? objectart : [link] piet "normal" text? ( [link] * g) Naming pixels? [this video] * h) Naming blocks? [link] *i) midi code linter ?? [link]
On the 'more animated' side of things : [link] ** different visual demonstrations : [link] Edward Tufte has looked at various ways to present data : [link] / [link] ** Make the quantum leap and use fennman diagrams to construct the network ( [link] ) ** So, could take the idea of scatter plot matrix in [link] and use the various plots to literally build a picture as represented in Excel cells as "picture" : [this video] and [link] Hypercastle explorer for terraforms : [link] Although, that kind of starts to get into coding. ;) [link] [link] [link] [link] ** Obligitory HN 'lisp' link : [link]
Or association of lables/groups of actions with binary unit encodings[3]. aka programming languages (integration) and binary encodings (differentiation of groups of bits associate with programming language feature(s) into how relates/associates with underlying hardware aka compilation or on line by line basis via scripting). programming language 'type' punning gives programmer way to use/access an associated encoding (typically binary) and programming language abstraction[2][3]. aka ieee floating point specification[1][2] -- programming language level -- just the typical human readable number notation vs. binary encoding is just linear group of bits, where portion is number, portion is exponent. ----- "Modeling Practices in Calculus" approach ideas: "string art generator" : [link] "Turing up the code" : [link] assuming writing & finger presses don't count as 'by hand': running code on paper using just the phone camera : [link] "stand-up comedy routine about spreadsheets " : [this video] ----- [1] : [link] vs. church encoding : [link] [2] : "Learning that you can use unions in C for grouping things into namespaces" : [link] [3] : [link] : punning with character : gawk chapter "11.3.11 And Now for Something Completely Different" program : nil-punning : [link] : [link]
Review/look at anything that has an abstraction / implimentation aspect (aka protocols / specifications / design implimentations / public "source material") . Examine how things are stratified (deterministic vs. context sensitive 'deterministic group(s)' -- and what influences determinism/context sensitivity). aka iso/osi network communications model[4]. Keep in mind K.I.S.S. / occam's rasor philosophies! -------- a) pick just a single logical plane/level to look at within a design stack. aka -> database & sql; database & hard drive storage; hard drive storage layout (OS vs. drive physical layout & drive storage/reterival (scsi vs. non-scsi api) a) Any foundations of math class. b) Simple physics problems with single logical type that be described by math eqation(s). aka no multivariate analysis. c) "LISP: A Lanaguage For Stratified Design"(1987)[0] by H. Abelson and G. Sussman. (vs. Structure and Interpretation of Computer Programs) d) A "Git" softare repository (where should be separation between OS, main mechanics of program, libraries, "implimentation details", etc) e) Expert C Programming: Deep C Secrets by P van der Linden d) Look at comparisons between types of mechanical engineering geers and associated logical groupings & how that'd correspond to electrical engineering boolean logic / pc 'units' aka add-in boards; processor types, gpu,cpu, etc aka rotational to linear motion / find that info on the hard drive disk : [link] e) picture to excel[1] : f) design / implime
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