ML Languages Programming
ML
ML is an abbreviation for Meta Language. It was created by R. Milner and a team, in 1973. It is a strict higher-order functional language, with a formal semantics. It is garbage collected, and the first language to include polymorphic typing that is statically checked. ML is one of the direct inspirations informing Alan Kay and the design of Smalltalk.
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- Framework for customizable, retargetable and optimizing compiler back ends, written in Standard ML. Successfully retargeted to multiple architectures. Deals elegantly with special requirements imposed by the execution model of different high-level, typed
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- a tutorial for the Standard ML language.
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- ML & SML
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- A whole-program optimizing compiler for the Standard ML programming language.
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- These notes are intended as a brief introduction to Standard ML (1997 dialect) for the experienced programmer
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- Wiki page outlining basics of SML and ways in which it is superior to many other languages.
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- An on-line tutorial by Stephen Gilmore.
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- A club for ML users at the University of Edinburgh
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- Glue code to make GTK+ accessible from SML. This allows SML programmers to add graphical user interfaces to their programs.
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- ML system for DOS, Linux, Windows.
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- A validating XML parser written completely in SML.
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- A Standard ML package providing a portable, typed and abstract interface to the user interface description and command language Tcl/Tk. It allows the implementation of graphical user interfaces in a structured and reusable way, supported by the powerful
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- Compiler and environment for, full implementation of, Standard ML, has libraries for MS Windows, X Window. [Open Source]
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- A compiler for the programming language Standard ML.
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- MLj: an SML to Java bytecode compiler, based on Persimmon's MLj
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- A compiler and programming environment for Standard ML language, with associated libraries, tools, documents. Descriptions, news, downloads (Unix, Windows), literature lists, FAQs, links, and contacts. [Open Source, Lucent]
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- A quick comparison of program fragments in the two ML dialects.
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- Introduction and 1-4 lectures ML tutorial.
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