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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]
CuPy is a part of the NumPy ecosystem array libraries [7] and is widely adopted to utilize GPU with Python, [8] especially in high-performance computing environments such as Summit, [9] Perlmutter, [10] EULER, [11] and ABCI.
The Python Package Index, abbreviated as PyPI (/ ˌ p aɪ p i ˈ aɪ /) and also known as the Cheese Shop (a reference to the Monty Python's Flying Circus sketch "Cheese Shop"), [2]: 8 [3]: 742 is the official third-party software repository for Python. [4] It is analogous to the CPAN repository for Perl [5]: 36 and to the CRAN repository for R.
Pip, a package manager used to install and manage Python software packages such as those from the Python Package Index (PyPI) software repository; PiTiVi, a non-linear video editor; Portage, the heart of Gentoo Linux, an advanced package management system based on the BSD-style ports system
Moses — Apple Mac OS X Server-Based Mac; Mother's Day — Red Hat Linux 1.0; Mother's Day .1 — Red Hat Linux 1.1; Mount Prospect — Intel MP440BX; Mousex — Lunar Linux 1.3; Moxie — Adobe Flex 3.0; Mozilla — Netscape Navigator (since spun off as its own name and browser) Mr. Coffee — Sun 1st generation JavaStation 1; Mr. T — Apple ...
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.
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.
[10] [11] [12] Ready features are certified OpenGL 4.5, OpenGL 4.5 for Intel Haswell, [13] [14] OpenGL 4.3 for Nvidia Maxwell and Pascal (GM107+). [15] Huge performance gain was measured with Maxwell 1 (GeForce GTX 750 Ti and more with GM1xx). Maxwell-2-Cards (GeForce GTX 980 and more with GM2xx) are underclocked without Nvidia information. [16]