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An output of pip install virtualenv. 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 ...
The main classes of Docker objects are images, containers, and services. [22] A Docker container is a standardized, encapsulated environment that runs applications. [25] A container is managed using the Docker API or CLI. [22] A Docker image is a read-only template used to build containers. Images are used to store and ship applications. [22]
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.
Container clusters need to be managed. This includes functionality to create a cluster, to upgrade the software or repair it, balance the load between existing instances, scale by starting or stopping instances to adapt to the number of users, to log activities and monitor produced logs or the application itself by querying sensors.
This is an accepted version of this page This is the latest accepted revision, reviewed on 22 January 2025. List of software distributions using the Linux kernel This article has multiple issues. Please help improve it or discuss these issues on the talk page. (Learn how and when to remove these messages) This article relies excessively on references to primary sources. Please improve this ...
The OCI organization includes the development of runc, which is the reference implementation of the runtime-spec, [7] [8] a container runtime that implements their specification and serves as a basis for other higher-level tools. runc was first released in July 2015 as version 0.0.1 [9] and it reached version 1.0.0 on June 22, 2021.
Python Imaging Library is a free and open-source additional library for the Python programming language that adds support for opening, manipulating, and saving many different image file formats. It is available for Windows, Mac OS X and Linux. The latest version of PIL is 1.1.7, was released in September 2009 and supports Python 1.5.2–2.7. [3]
Nuitka compiles Python into C. [164] It works with Python 3.4 to 3.12 (and 2.6 and 2.7), for Python's main supported platforms (and Windows 7 or even Windows XP) and for Android. It claims complete support for Python 3.10, some support for 3.11 and 3.12 and experimental support for Python 3.13. It supports macOS including Apple Silicon-based.