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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 ...
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.
The script can be and originally was hand-coded. 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 ...
Software to manage the configuration of a large number of computers using a central configuration model and the client–server paradigm. The system enables reconciliation between clients' state and the central configuration specification. Detailed reports provide a way to identify unmanaged configuration on hosts.
Boost boost.build – For C++ projects, cross-platform, based on Perforce Jam; Buck – Build system developed and used by Meta Platforms; written in Rust, using Starlark (BUILD file syntax) as Bazel; Buildout – programming tool aimed to assist with deploying software; Python-based
Nuitka – a source-to-source compiler which compiles Python code to C/C++ executables, or source code. Numba – NumPy aware LLVM -based JIT compiler Pyjs – a framework (based on Google Web Toolkit (GWT) concept) for developing client-side Python-based web applications, including a stand-alone Python-to-JavaScript compiler, an Ajax framework ...
One thread may be waiting for a client to reply, and another may be waiting for a database query to execute, while the third thread is actually processing Python code. However, the GIL does mean that CPython is not suitable for processes that implement CPU-intensive algorithms in Python code that could potentially be distributed across multiple ...
Numba is used from Python, as a tool (enabled by adding a decorator to relevant Python code), a JIT compiler that translates a subset of Python and NumPy code into fast machine code. Pythran compiles a subset of Python 3 to C++ . [165] RPython can be compiled to C, and is used to build the PyPy interpreter of Python.