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Conda checks everything that has been installed, any version limitations that the user specifies (for example, the user wants a specific package to be at least version 2.1.3), and determines a set of versions for all requested packages and their dependencies that makes the total set compatible with one another.
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.
It then builds a package that contains these files, using additional information gathered from the user. Finally, the files installed by the original run are removed and the package is installed using the system package tools, so the package will be properly registered in the local installed packages database.
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]
A package manager or package-management system is a collection of software tools that automates the process of installing, upgrading, configuring, and removing computer programs for a computer in a consistent manner. [1] A package manager deals with packages, distributions of software and data in archive files.
Scoop is a command-line package manager for Microsoft Windows, used to download and install apps, as well as their dependencies.. Scoop is often used for installing web development tools and other software development tools.
Most software systems have installation procedures that are needed before they can be used for their main purpose. Testing these procedures to achieve an installed software system that may be used is known as installation testing. [1]: 139 These procedures may involve full or partial upgrades, and install/uninstall processes.
It supports creating projects for existing or new source directories, with optional code retrieval from version control repositories. The IDE facilitates easy creation and configuration of Python environments using virtualenv, pip, Poetry, pipenv, or conda, either locally, on a remote host, or with containers managed by Docker or LXC/LXD. [1]