Functional Programming
Programming Throwdown
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Spark and Data Processing
Riht: Spark is a good fit with functional languages because they excel in epartment. Riht: It's very easy to split up and an distribute across s and stuff. Ah, so methods that perform an action upon the outside world are called 'effect types' And this lets us and capsilate the dealing with the outside world into into this kind of a, into this type that we wrap the result in. Mite: With python you could do iti might not take that much, that many lines of code. I should really want tha you mite such a really good point. As is an you functiona programming,. Because each function is isolated, it lends itself
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