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The tool is invoked via its command line interface (CLI), and it reports library information via standard output. Some information, such as version information, is more useful to the programmer. Other information, such as command-line options (flags), is more useful to build tools such as a compiler and a linker.
Pip's command-line interface allows the install of Python software packages by issuing a command: pip install some-package-name. Users can also remove the package by issuing a command: pip uninstall some-package-name. pip has a feature to manage full lists of packages and corresponding version numbers, possible through a "requirements" file. [14]
kitty is a free and open-source GPU-accelerated [2] [3] terminal emulator for Linux, macOS, [4] and some BSD distributions. [5] focused on performance and features. kitty is written in a mix of C and Python programming languages.
A command-line interface (CLI) is a means of interacting with a computer program by inputting lines of text called command lines. Command-line interfaces emerged in the mid-1960s, on computer terminals , as an interactive and more user-friendly alternative to the non-interactive mode available with punched cards .
The Yellowdog Updater Modified (YUM) is a free and open-source command-line package-management utility for computers running the Linux operating system using the RPM Package Manager. [4] Though YUM has a command-line interface, several other tools provide graphical user interfaces to YUM functionality.
Command-line shells provide a command-line interface (CLI) to the operating system, while graphical shells provide a graphical user interface (GUI). Other possibilities, although not so common, include a voice user interface and various implementations of a text-based user interface (TUI) that are not CLI, such as text-based menu systems.
Cocoa was the top-performing commodity of 2024. The price of the bean surged as headwinds battered key producers. Prices are likely to stay high into 2025, analysts at ING said.
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]