Lucid is a dataflow programming language designed for parallel and non-deterministic computations. It emphasizes the use of streams, allowing values to be computed as sequences over time, making it suitable for applications in scientific computing and real-time systems.
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About Lucid
Lucid was created in the 1970s as a dataflow programming language aimed at simplifying the development of parallel and non-deterministic computations. It emerged from research efforts to provide a more intuitive way to handle sequences of values over time, making it particularly useful for scientific computing and real-time applications. The language was designed to facilitate declarative programming by focusing on the relationships between data rather than control flow.
Strengths of Lucid include its ability to handle parallel and non-deterministic computations effectively, as well as its intuitive handling of data streams over time. Weaknesses include limited adoption and less support compared to more mainstream languages. Competitors include other dataflow languages like Lustre and SIGNAL, as well as general-purpose languages that have strong parallel processing capabilities, such as Haskell and Scala.
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How to hire a Lucid expert
A Lucid expert must have strong skills in dataflow programming concepts, parallel computing, and non-deterministic computation. They should be proficient in stream processing and understand the declarative programming paradigm. Additionally, expertise in scientific computing and real-time system design is essential for effectively utilizing Lucid.
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USA
$ 224K
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$ 127K
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$ 97K
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