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In computing, the working directory of a process is a directory of a hierarchical file system, if any, [nb 1] dynamically associated with the process. It is sometimes called the current working directory (CWD), e.g. the BSD getcwd [1] function, or just current directory. [2]
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.
A helper function is a function which groups parts of computation by assigning descriptive names and allowing for the reuse of the computations. [6] Although not all wrappers are helper functions, all helper functions are wrappers, and a notable use of helper functions—grouping frequently utilized operations—is in dynamic binary translation, in which helper functions of a particular ...
In Python 2.6 and 2.7 print() is available as a built-in but is masked by the print statement syntax, which can be disabled by entering from __future__ import print_function at the top of the file [38] Removal of the Python 2 input function, and the renaming of the raw_input function to input. Python 3's input function behaves like Python 2's ...
Unlike an inline function, the compiler has an intimate knowledge of an intrinsic function and can thus better integrate and optimize it for a given situation. Compilers that implement intrinsic functions may enable them only when a program requests optimization , otherwise falling back to a default implementation provided by the language ...
A JAR ("Java archive") file is a package file format typically used to aggregate many Java class files and associated metadata and resources (text, images, etc.) into one file for distribution. [4] JAR files are archive files that include a Java-specific manifest file. They are built on the ZIP format and typically have a .jar file extension. [5]
Anaconda is an open source [9] [10] data science and artificial intelligence distribution platform for Python and R programming languages.Developed by Anaconda, Inc., [11] an American company [1] founded in 2012, [11] the platform is used to develop and manage data science and AI projects. [9]
In 2009, a Google sponsored branch named Unladen Swallow was created to incorporate a just-in-time compiler into CPython. [7] [8] Development ended in 2011 without it being merged into the main implementation, [9] though some of its code, such as improvements to the cPickle module, made it in. [10] [7]