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The Ansible control node runs on most Unix-like systems that are able to run Python, including Windows with Windows Subsystem for Linux installed. [3] System configuration is defined in part by using its own declarative language.
Today, multiple tools are available for generating a configure script based on special configuration files. One commonly used tool is Autotools which generates a Bash script. Obtaining a software package as source code and compiling it locally is a common scenario on Unix and Unix-like environments.
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 ...
Across Unix-like operating systems many different configuration-file formats exist, with each application or service potentially having a unique format, but there is a strong tradition of them being in human-editable plain text, and a simple key–value pair format is common.
Annotated Python-like code is compiled to C and then automatically wrapped in interface code, producing extension modules that can be loaded and used by regular Python code using the import statement, but with significantly less computational overhead at run time. Cython also facilitates wrapping independent C or C++ code into python-importable ...
Infrastructure as Code (IaC) allows you to manage servers and their configurations using code. There are two ways to send these configurations to servers: the 'push' and 'pull' methods. In the 'push' method, the system controlling the configuration directly sends instructions to the server.
The non-Python library being called to perform the CPU-intensive task is not subject to the GIL and may concurrently execute many threads on multiple processors without restriction. Concurrency of Python code can only be achieved with separate CPython interpreter processes managed by a multitasking operating system.
PyPy (/ ˈ p aɪ p aɪ /) is an implementation of the Python programming language. [2] PyPy often runs faster than the standard implementation CPython because PyPy uses a just-in-time compiler. [3] Most Python code runs well on PyPy except for code that depends on CPython extensions, which either does not work or incurs some overhead when run ...