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Python has a "string format" operator % that functions analogously to printf format strings in C—e.g. "spam=%s eggs=%d" % ("blah", 2) evaluates to "spam=blah eggs=2". In Python 2.6+ and 3+, this was supplemented by the format() method of the str class, e.g. "spam={0} eggs= {1}".format("blah", 2).
The programming language Python was conceived in the late 1980s, [1] and its implementation was started in December 1989 [2] by Guido van Rossum at CWI in the Netherlands as a successor to ABC capable of exception handling and interfacing with the Amoeba operating system. [3]
PyPy – Python (originally) coded in Python, used with RPython, a restricted subset of Python that is amenable to static analysis and thus a JIT. Shed Skin – a source-to-source compiler from Python to C++
CodeSkulptor is an interactive, web-based Python programming environment that allows Python code to be run in a web browser. The application was developed by Scott Rixner, a professor of computer science at Rice University.
Python syntax and semantics. A snippet of Python code with keywords highlighted in bold yellow font. The syntax of the Python programming language is the set of rules that defines how a Python program will be written and interpreted (by both the runtime system and by human readers).
Spyder is an open-source cross-platform integrated development environment (IDE) for scientific programming in the Python language. Spyder integrates with a number of prominent packages in the scientific Python stack, including NumPy, SciPy, Matplotlib, pandas, IPython, SymPy and Cython, as well as other open-source software.
The Wing Python IDE is a family of integrated development environments (IDEs) from Wingware created specifically for the Python programming language, with support for editing, testing, debugging, inspecting/browsing, and error-checking Python code.
PyPy (/ ˈ p aɪ p aɪ /) is an implementation of the Python programming language. PyPy often runs faster than the standard implementation CPython because PyPy uses a just-in-time compiler. 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 in PyPy.
NumPy also provides a C API, which allows Python code to interoperate with external libraries written in low-level languages. The ndarray data structure. The core functionality of NumPy is its "ndarray", for n-dimensional array, data structure. These arrays are strided views on memory.
py2exe is a Python extension which converts Python scripts (.py) into Microsoft Windows executables (.exe). These executables can run on a system without Python installed. It is the most common tool for doing so.