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#] 03Mar2023 Philosopy basics for hybridized [bash, Python, QNial, C++] 

lazy - minimize code [adapt, rewrite]ing between languages
math category theory  
			loop through languages then end up with substantially same program
"Computability of symbol names"
			like Alan Turing's "Computability of numbers"
			calculate what a symbol name should be
			anticipate [missing, new meta-level] concepts
simplicity - use [simple, powerful] language for capability
hybridize - all languages with hybridize with all others
signals - build libraries, each language run in interpreted mode waiting for signals
			exe[Bash, Python, Qnial] use wait for signals
			bash - good for [files, some str], regular expression
				I don't like using castrated forms of regular expressions (eg QNial)
symCodes - 3-digit random integer as part of symbol name
			needed for bash libraries to avoid double-use of symNames
				for functions that may be called independently
			maintain codes for ports - more [easy, consistent] back-port of program
eval[bash, Python, QNial, C++] - run the same code in different languages
			easier to port code? compose as much as possible in bash, minimize code re-writes
			most important - my programming time, not execution time
				my programs are usually [limited, simple, small] 
				[hour, week, month, year]s of programming time not unusual 
			of course, very long executions >5 minutes may be worth [special rewrite, C++]
QNial port programs - from [C, Fortran, Matlab, SciLab] to QNial - rewrite in bash
			keep things universal
			QNial to [C, Fortran, Matlab, SciLab] practically impossible
				end up with QNial interpreter, FAR bigger program than most that I write
Python learning - I am at zero, port program may help me to get started
			huge number of tutorials, problem is to find one that is good for me
parallelism - none of "normal" [bash, Python, QNial, C++] are parallel
			hybrid approach may open this door
			even possible with "Graphics Processing Unit" (GPU) cards?




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