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Chapter 11 - Functional Programming, Part II: ML, Delayed
Chapter 11 - Functional Programming, Part II: ML, Delayed

... Nevertheless, in most cases, Hindley-Milner type checking removes the burden of specifying types. Note also that ML's type system does not accept overloading: if we want a square function for both ints and reals we must use two different names. ...
Table of contents
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... is known to have no side-effects, may be efficiently computed without multiple calls. A function in this sense has zero or more parameters and a single return value. The parameters—or arguments, as they are sometimes called—are the inputs to the function, and the return value is the function's outpu ...
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... approach to providing dynamic web content. Used scripts, and a process, not just an individual thread, was dispatched for each web page generated. Hence inefficient and did not scale well. • Numerous second generation alternatives were invented: ...
Grid - Department of Computer Science
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... • Use Java-centric approach + JVM technology – Inherently more portable than native compilation • “Write once, run anywhere ” – Requires entire system to be written in pure Java • Optimized special-case solutions with native code – E.g. native communication libraries ...
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A retrospective on Haskell
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Lecture #1, Sept. 30, 1996
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I/O (cont) and Program Development A Foundation for Programming

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Type Class

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CA320 - Computability & Complexity
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Introduction to Software Engineering
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Chapter 7: Functional Programming Languages
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... An intermediate strategy, used in Haskell. As in call by name, the expression is not evaluated when it is put to the environment. But when the value is needed for the first time, the result of evaluation is saved in the environment, and the next look-up of the variable will not need to compute it ag ...
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... nothing now, but it catches up with you in the end  Enforced purity is like paying up front: painful on Day 1, but usually worth it  But we made one big mistake... ...
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What Are Applets? - UTRGV Faculty Web
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Chapter 11 - Functional Programming, Part I: Concepts and Scheme
Chapter 11 - Functional Programming, Part I: Concepts and Scheme

... Functional programming (F.P.) is in some ways the opposite of object-oriented programming: focus is on functions, all data is passive -- in OO the data name is first: x.f(), while in functional programming the function name is first: f(x).  Functions can be used in F.P. like objects in OO: local fu ...
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Scala (programming language)

Scala (/ˈskɑːlɑː/ SKAH-lah) is a programming language for general software applications. Scala has full support for functional programming and a very strong static type system. This allows programs written in Scala to be very concise and thus smaller in size than other general-purpose programming languages. Many of Scala's design decisions were inspired by criticism of the shortcomings of Java.Scala source code is intended to be compiled to Java bytecode, so that the resulting executable code runs on a Java virtual machine. Java libraries may be used directly in Scala code and vice versa (language interoperability). Like Java, Scala is object-oriented, and uses a curly-brace syntax reminiscent of the C programming language. Unlike Java, Scala has many features of functional programming languages like Scheme, Standard ML and Haskell, including currying, type inference, immutability, lazy evaluation, and pattern matching. It also has an advanced type system supporting algebraic data types, covariance and contravariance, higher-order types (but not higher-rank types), and anonymous types. Other features of Scala not present in Java include operator overloading, optional parameters, named parameters, raw strings, and no checked exceptions.The name Scala is a portmanteau of ""scalable"" and ""language"", signifying that it is designed to grow with the demands of its users.
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