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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 2024, Anaconda Inc. has about 300 employees [12 ...
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. [4] [5] At first, Anaconda Python distribution was developed by Anaconda Inc.; later, it was spun out as a separate package, [6] released under the BSD license.
Anaconda is a free and open-source system installer for Linux distributions.. Anaconda is used by Red Hat Enterprise Linux, Oracle Linux, Scientific Linux, Rocky Linux, AlmaLinux, CentOS, MIRACLE LINUX, Qubes OS, Fedora, Sabayon Linux and BLAG Linux and GNU, also in some less known and discontinued distros like Progeny Componentized Linux, Asianux, Foresight Linux, Rpath Linux and VidaLinux.
Anaconda, Montana, a small community in the US; ... Anaconda (installer), an installer program for the Red Hat Linux and Fedora operating systems; Anaconda (Python ...
Source lines of code (SLOC), also known as lines of code (LOC), is a software metric used to measure the size of a computer program by counting the number of lines in the text of the program's source code.
Although the name applies to a group of snakes, it is often used to refer only to one species, in particular, the common or green anaconda (Eunectes murinus), [citation needed] which is the largest snake in the world by weight, and the second longest after the reticulated python.
“The size of these magnificent creatures was incredible," Fry said in a news release earlier this month. "One female anaconda we encountered measured an astounding 6.3 meters (20.8 feet) long."
Programming in the small can involve programming by individuals or small groups over short time periods and may involve less formal practices (for instance less emphasis on documentation or testing), tools and programming languages (e.g. the selection of a loosely typed scripting language in preference to a strictly typed programming language).