Original Translation
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A piece of syntax which can be evaluated to some value. In other words, an expression is an accumulation of expression elements like literals, names, attribute access, operators or function calls which all return a value. In contrast to many other languages, not all language constructs are expressions. There are also :term:`statement`\s which cannot be used as expressions, such as :keyword:`if`. Assignments are also statements, not expressions.
Une suite logique de termes et chiffres conformes à la syntaxe Python dont l'évaluation fournit une valeur. En d'autres termes, une expression est une suite d'éléments tels que des noms, opérateurs, littéraux, accès d'attributs, méthodes ou fonctions qui aboutissent à une valeur. Contrairement à beaucoup d'autres langages, les différentes constructions du langage ne sont pas toutes des expressions. Il y a également des :term:`statement`s qui ne peuvent pas être utilisés comme expressions, tel que :keyword:`if`. Les affectations sont également des :term:`statements` et non des expressions.
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A module written in C or C++, using Python's C API to interact with the core and with user code.
Un module écrit en C ou C++, utilisant l'API C de Python afin d'intéragir avec le noyau et le code utilisateur.
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An object that tries to find the :term:`loader` for a module. It must implement a method named :meth:`find_module`. See :pep:`302` for details and :class:`importlib.abc.Finder` for an :term:`abstract base class`.
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Mathematical division discarding any remainder. The floor division operator is ``//``. For example, the expression ``11//4`` evaluates to ``2`` in contrast to the ``2.75`` returned by float true division.
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A series of statements which returns some value to a caller. It can also be passed zero or more arguments which may be used in the execution of the body. See also :term:`argument` and :term:`method`.
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A pseudo module which programmers can use to enable new language features which are not compatible with the current interpreter.
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By importing the :mod:`__future__` module and evaluating its variables, you can see when a new feature was first added to the language and when it becomes the default::
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>>> import __future__ >>> __future__.division _Feature((2, 2, 0, 'alpha', 2), (3, 0, 0, 'alpha', 0), 8192)
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The process of freeing memory when it is not used anymore. Python performs garbage collection via reference counting and a cyclic garbage collector that is able to detect and break reference cycles.
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A function which returns an iterator. It looks like a normal function except that values are returned to the caller using a :keyword:`yield` statement instead of a :keyword:`return` statement. Generator functions often contain one or more :keyword:`for` or :keyword:`while` loops which :keyword:`yield` elements back to the caller. The function execution is stopped at the :keyword:`yield` keyword (returning the result) and is resumed there when the next element is requested by calling the :meth:`__next__` method of the returned iterator.