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Yarn can install packages from local cache. [8] Yarn binds versions of the package strongly. Yarn uses checksum for ensuring data integrity, while npm uses SHA-512 to check data integrity of the packages downloaded. [9] Yarn installs packages in parallel, while npm installs one package at a time.
Works on Windows NT, OS X and Linux; Uplay: A cross-platform video game distribution, licensing and social gameplay platform, developed and maintained by Ubisoft. Used to shop for, download, install and update video games. Works on Windows NT and Windows Phone, as well as PlayStation 3, PlayStation 4, Xbox 360, Xbox One, Wii U, iOS and Android.
GitHub (/ ˈ ɡ ɪ t h ʌ b /) is a proprietary developer platform that allows developers to create, store, manage, and share their code. It uses Git to provide distributed version control and GitHub itself provides access control, bug tracking, software feature requests, task management, continuous integration, and wikis for every project. [8]
Sally contributes a package A. Sally only runs the current version of the software under one version of Microsoft Windows, and has only tested it in that environment. At more or less regular intervals, CRAN tests Sally's contribution under a dozen combinations of operating systems and versions of the core R language software.
[8] The official Bun 1.0 was released on September 8, 2023. [9] Since Bun 1.1 the runtime supports Windows 10 and later (along with Linux and MacOS). [10] [11] It also introduced a cross-platform Bun Shell for running some Bash commands without extra dependencies. [10] [11]
In June 2011, Microsoft and Joyent implemented a native Windows version of Node.js. [19] The first Node.js build supporting Windows was released in July 2011. In January 2012, Dahl yielded management of the project to npm creator Isaac Schlueter. [20] In January 2014, Schlueter announced that Timothy J. Fontaine would lead the project. [21]
Dask is an open-source Python library for parallel computing.Dask [1] scales Python code from multi-core local machines to large distributed clusters in the cloud. Dask provides a familiar user interface by mirroring the APIs of other libraries in the PyData ecosystem including: Pandas, scikit-learn and NumPy.
[8] The development team attempted to create a program which shows the programmer what the effects of their additions are in real-time, rather than requiring them to work out the effects as they write the code. [ 9 ]