Re:SciPy 1.0: fundamental algorithms for scientific computin...
by kortex on Tuesday February 11, 2020 @09:10AM
(#22298573)
It sounds like you aren't choosing your domain of focus properly. Are you teaching computer science, data science, a hard science, or a social science? You can't have your cake and eat it too. Do you want a language that's easy to teach, easy to solve scientific data problems with? Python with libraries.
Do you want something fast using for loops and other primitives? Don't use python!
Do you want something with great stats and easy graphing but little else? Use R or similar.
Do you want all the benefits of python but want to compile the hot path? Use bindings/cython/any of the numerous inline voodoo python tools.
> The matrix product should also be rightly available without need to "import" anything
Why? Even the python stdlib requires imports. The bare language needs keywords and primitives, that's it. Any matrix operation code that loads without import is more overhead.
It sounds like you want a DSL * . Use matlab/octave/R/SPSS. But don't be shocked when you wanna wrap a gui/webpage/api around your code and it's painful.
* DSL in the loosest sense, a specialized, less general language
Do you want something fast using for loops and other primitives? Don't use python!
Do you want something with great stats and easy graphing but little else? Use R or similar.
Do you want all the benefits of python but want to compile the hot path? Use bindings/cython/any of the numerous inline voodoo python tools.
> The matrix product should also be rightly available without need to "import" anything
Why? Even the python stdlib requires imports. The bare language needs keywords and primitives, that's it. Any matrix operation code that loads without import is more overhead.
It sounds like you want a DSL * . Use matlab/octave/R/SPSS. But don't be shocked when you wanna wrap a gui/webpage/api around your code and it's painful.
* DSL in the loosest sense, a specialized, less general language