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The first pass of assembly is done in order to identify binary addresses that correspond to the symbolic names. This is essential in order to guide pass two which is the line-by-line translation into machine language. [9] Commonly used assemblers include: x86 assembly languages (used in Intel and AMD processors) [10]
The Computer Language Benchmarks Game site warns against over-generalizing from benchmark data, but contains a large number of micro-benchmarks of reader-contributed code snippets, with an interface that generates various charts and tables comparing specific programming languages and types of tests.
A source-to-source translator, source-to-source compiler (S2S compiler), transcompiler, or transpiler [1] [2] [3] is a type of translator that takes the source code of a program written in a programming language as its input and produces an equivalent source code in the same or a different programming language. A source-to-source translator ...
This is a comparison of the features of the type systems and type checking of multiple programming languages. Brief definitions A nominal type system means that the language decides whether types are compatible and/or equivalent based on explicit declarations and names.
This comparison of programming languages compares how object-oriented programming languages such as C++, Java, Smalltalk, Object Pascal, Perl, Python, and others manipulate data structures. Object construction and destruction
In computing, just-in-time (JIT) compilation (also dynamic translation or run-time compilations) [1] is compilation (of computer code) during execution of a program (at run time) rather than before execution. [2] This may consist of source code translation but is more commonly bytecode translation to machine code, which is then executed ...
Programming languages can have multiple implementations. Different implementations can be written in different languages and can use different methods to compile or interpret code. For example, implementations of Python include: [9] CPython, the reference implementation of Python; IronPython, an implementation targeting the .NET Framework ...
Python uses the following syntax to express list comprehensions over finite lists: S = [ 2 * x for x in range ( 100 ) if x ** 2 > 3 ] A generator expression may be used in Python versions >= 2.4 which gives lazy evaluation over its input, and can be used with generators to iterate over 'infinite' input such as the count generator function which ...