Re:Kotlin and linear programming
by blt on Thursday January 25, 2018 @09:33PM
(#16236612)
I use Python for machine learning, but I wish I could use a friendly, modern, statically-typed language like Kotlin, Swift, etc. instead. Dynamically typed languages feel scary beyond around 1000 lines of code.
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Python 3.6's optional types are pretty great. Block out your solution first then start constraining it where you need to.
Re:Kotlin and linear programming
by icebraining on Friday January 26, 2018 @04:49AM
(#16238008)
+1, I recently wrote some data extraction and processing code using pandas and mypy, and it was pretty great. And progress is happening to add types to numpy and pandas themselves.
You still have many not type annotated libraries in ecosystem, and poor support of refactoring/navigation in IDEs.
Re:Kotlin and linear programming
by terminalcommand on Friday January 26, 2018 @02:47AM
(#16237598)
The downside is that static typing makes your programs much more rigid. Even if you program to interfaces, apply open-closed principle etc. After a while you start fighting the type system.
That's why I like dynamic typing. Coupled with Python's type annotations for hard cases and good documentation, dynamic typing allows you to go further by reducing cognitive load.