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Conda is an open-source, [2] cross-platform, [3] language-agnostic package manager and environment management system. It was originally developed to solve package management challenges faced by Python data scientists , and today is a popular package manager for Python and R .
Anaconda, Inc. compiles and builds the packages available in the Anaconda repository itself, and provides binaries for Windows 32/64 bit, Linux 64 bit and MacOS 64-bit (Intel, Apple Silicon). Anything available on PyPI may be installed into a Conda environment using pip, and Conda will keep track of what it has installed and what pip has installed.
YAML (/ ˈ j æ m əl /, rhymes with camel [4]) was first proposed by Clark Evans in 2001, [15] who designed it together with Ingy döt Net [16] and Oren Ben-Kiki. [16]Originally YAML was said to mean Yet Another Markup Language, [17] because it was released in an era that saw a proliferation of markup languages for presentation and connectivity (HTML, XML, SGML, etc.).
Cygwin is provided in two versions: the full 64-bit version and a stripped-down 32-bit version, whose final version was released in 2022. [18] Cygwin consists of a library that implements the POSIX system call API in terms of Windows system calls to enable the running of a large number of application programs equivalent to those on Unix systems ...
The free software GNU toolchain (including GNU Compiler Collection (GCC), GNU Debugger (GDB), and GNU make) is available on many platforms, including Windows. [15] The pervasive Unix philosophy of "everything is a text stream" enables developers who favor command-line oriented tools to use editors with support for many of the standard Unix and ...
24 [25] (10 December 2024) External External Yes OpenWatcom: OSI Approved: Yes (32-bit only) partial No FreeBSD, DOS, OS/2: C/C++: Yes (GUI remote) Yes Yes Yes No No No Yes Yes 2010-06 Yes Yes No Oracle Solaris Studio (formerly Sun Studio) Proprietary, Freeware: No Yes No Solaris? Yes Yes Yes Yes Yes Yes Yes Yes Yes 2008-11 Yes Yes Yes Pelles C IDE
Jupyter Notebook is built using several open-source libraries, including IPython, ZeroMQ, Tornado, jQuery, Bootstrap, and MathJax. A Jupyter Notebook application is a browser-based REPL containing an ordered list of input/output cells which can contain code, text (using Github Flavored Markdown), mathematics, plots and rich media.
The runtime environment includes not only accessible state values, but also active entities with which the program can interact during execution. For example, environment variables are features of many operating systems, and are part of the runtime environment; a running program can access them via the runtime system. Likewise, hardware devices ...