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The Standard Template Library (STL) is a software library originally designed by Alexander Stepanov for the C++ programming language that influenced many parts of the C++ Standard Library. It provides four components called algorithms , containers , functions , and iterators .
The C++ Standard Library is based upon conventions introduced by the Standard Template Library (STL), and has been influenced by research in generic programming and developers of the STL such as Alexander Stepanov and Meng Lee. [4] [5] Although the C++ Standard Library and the STL share many features, neither is a strict superset of the other.
Until the standardization of the C++ language in 1998, they were part of the Standard Template Library (STL), published by SGI. Alexander Stepanov , the primary designer of the STL, bemoans the choice of the name vector , saying that it comes from the older programming languages Scheme and Lisp but is inconsistent with the mathematical meaning ...
The C++ standard library is a collection of utilities that are shipped with C++ for use by any C++ programmer. It includes input and output, multi-threading, time, regular expressions, algorithms for common tasks, and less common ones (find, for_each, swap, etc.) and lists, maps and hash maps (and the equivalent for sets) and a class called vector that is a resizable array.
In computing, the Standard Template Library (STL) is a software library for the C++ programming language. The architecture of the STL is largely the creation of Alexander Stepanov. In 1979 he began working out his initial ideas of generic programming and exploring their potential for revolutionizing software development.
The subject of custom allocators has been treated by many C++ experts and authors, including Scott Meyers in Effective STL and Andrei Alexandrescu in Modern C++ Design. Meyers emphasises that C++98 requires all instances of an allocator to be equivalent, and notes that this in effect forces portable allocators to not have
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In Python, functions are first-class objects, just like strings, numbers, lists etc. This feature eliminates the need to write a function object in many cases. Any object with a __call__() method can be called using function-call syntax. An example is this accumulator class (based on Paul Graham's study on programming language syntax and ...