SIP is a tool to create Python bindings for C and C++ libraries. It was originally developed to create PyQt, the Python bindings for the Qt toolkit, but can be used to create bindings for any C or C++ library.
SIP comprises a code generator and a Python module. The code generator processes a set of specification files and generates C or C++ code, which is then compiled to create the bindings extension module. The SIP Python module provides support functions to the automatically generated code.
SIP is a tool to create Python bindings for C and C++ libraries. It was originally developed to create PyQt, the Python bindings for the Qt toolkit, but can be used to create bindings for any C or C++ library.
SIP comprises a code generator and a Python module. The code generator processes a set of specification files and generates C or C++ code, which is then compiled to create the bindings extension module. The SIP Python module provides support functions to the automatically generated code.
SIP is a tool to create Python bindings for C and C++ libraries. It was originally developed to create PyQt, the Python bindings for the Qt toolkit, but can be used to create bindings for any C or C++ library.
SIP comprises a code generator and a Python module. The code generator processes a set of specification files and generates C or C++ code, which is then compiled to create the bindings extension module. The SIP Python module provides support functions to the automatically generated code.
SEP makes the core algorithms of sextractor available as a library of stand-alone functions and classes. These operate directly on in-memory arrays (no FITS files or configuration files). The code is derived from the Source Extractor code base (written in C) and aims to produce results compatible with Source Extractor whenever possible. SEP consists of a C library with no dependencies outside the standard library, and a Python module that wraps the C library in a Pythonic API. The Python wrapper operates on NumPy arrays with NumPy as its only dependency.
Waf is a build system framework for configuring, compiling and installing applications.
Features:
Automatic build order: the build order is computed from input and output files, among others
Automatic dependencies: tasks to execute are detected by hashing files and commands
Performance: tasks are executed in parallel automatically, the startup time is meant to be fast (separation between configuration and build)
Flexibility: new commands and tasks can be added very easily through subclassing, bottlenecks for specific builds can be eliminated through dynamic method replacement
Extensibility: though many programming languages and compilers are already supported by default, many others are available as extensions
IDE support: Eclipse, Visual Studio and Xcode project generators (waflib/extras/)
Documentation: the application is based on a robust model documented in The Waf Book and in the API docs
Python compatibility: cPython 2.7 to 3.x, Jython 2.7 and PyPy
ACME protocol implementation in Python
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