Lazy ML is a functional programming language designed for lazy evaluation, where expressions are only evaluated when their values are needed. This approach allows for efficient computation and the ability to work with infinite data structures.
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About Lazy Ml
Lazy ML was developed in the early 1980s as an extension of the ML programming language to support lazy evaluation. It aimed to combine the benefits of functional programming with the efficiency gains from evaluating expressions only when necessary.
Strengths of Lazy ML included efficient computation through lazy evaluation and the ability to handle infinite data structures. Weaknesses involved potential difficulties in debugging and reasoning about code execution order. Competitors included other functional languages like Haskell, which also supported lazy evaluation, and strict evaluation languages like OCaml.
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How to hire a Lazy Ml expert
A Lazy ML expert must possess strong functional programming skills, proficiency in lazy evaluation techniques, and a deep understanding of the ML language syntax and semantics. They should also be skilled in debugging lazy evaluation issues and optimizing performance.
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