10 Facts About Dynamic typing

Dynamic typing type checking is the process of verifying the type safety of a program at runtime.

Static Dynamic typing can find type errors reliably at compile time, which increases the reliability of the delivered program.

Static typing advocates believe programs are more reliable when they have been well type-checked, whereas dynamic-typing advocates point to distributed code that has proven reliable and to small bug databases.

Advocates of dependent Dynamic typing, implemented in languages such as Dependent ML and Epigram, have suggested that almost all bugs can be considered type errors, if the types used in a program are properly declared by the programmer or correctly inferred by the compiler.

Dynamic typing allows constructs that some static type checking would reject as illegal.

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An eval function is possible with static Dynamic typing, but requires advanced uses of algebraic data types.

Dynamic typing believes this is advantageous, because what he calls mandatory type systems make languages less expressive and code more fragile.

Gradual typing uses a special type named dynamic to represent statically-unknown types; gradual typing replaces the notion of type equality with a new relation called consistency that relates the dynamic type to every other type.

Type system that assigns types to terms in type environments using Dynamic typing rules is naturally associated with the decision problems of type checking, typability, and type inhabitation.

In languages with subDynamic typing, the compatibility relation is more complex: If B is a subtype of A, then a value of type B can be used in a context where one of type A is expected, even if the reverse is not true.