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The decorator pattern is a design pattern used in statically-typed object-oriented programming languages to allow functionality to be added to objects at run time; Python decorators add functionality to functions and methods at definition time, and thus are a higher-level construct than decorator-pattern classes.
Since 7 October 2024, Python 3.13 is the latest stable release, and it and, for few more months, 3.12 are the only releases with active support including for bug fixes (as opposed to just for security) and Python 3.9, [55] is the oldest supported version of Python (albeit in the 'security support' phase), due to Python 3.8 reaching end-of-life.
In computer science, a for-loop or for loop is a control flow statement for specifying iteration. Specifically, a for-loop functions by running a section of code repeatedly until a certain condition has been satisfied. For-loops have two parts: a header and a body. The header defines the iteration and the body is the code executed once per ...
Python Package Index (formerly the Python Cheese Shop) is the official directory of Python software libraries and modules; Useful Modules in the Python.org wiki; Organizations Using Python – a list of projects that make use of Python; Python.org editors – Multi-platform table of various Python editors
In computer programming, foreach loop (or for-each loop) is a control flow statement for traversing items in a collection. foreach is usually used in place of a standard for loop statement.
Salt (sometimes referred to as SaltStack) is a Python-based, open-source software for event-driven IT automation, remote task execution, and configuration management. Supporting the " infrastructure as code " approach to data center system and network deployment and management, configuration automation, SecOps orchestration, vulnerability ...
Celery is written in Python, but the protocol can be implemented in any language.It can also operate with other languages using webhooks. [4] There is also a Ruby-Client called RCelery, [5] a PHP client, [6] a Go client, [7] a Rust client, [8] and a Node.js client.
Pandas (styled as pandas) is a software library written for the Python programming language for data manipulation and analysis.In particular, it offers data structures and operations for manipulating numerical tables and time series.