Yum (software)

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. Though YUM has a command-line interface, several other tools provide graphical user interfaces to YUM functionality. YUM allows for automatic updates and package and dependency management on RPM-based distributions. Like the Advanced Package Tool (APT) from Debian, YUM works with software repositories (collections of packages), which can be accessed locally or over a network connection. Under the hood, YUM depends on RPM, which is a packaging standard for digital distribution of software, which automatically uses hashes and digital signatures to verify the authorship and integrity of said software; unlike some app stores, which serve a similar function, neither YUM nor RPM provide built-in support for proprietary restrictions on copying of packages by end-users. YUM is implemented as libraries in the Python programming language, with a small set of programs that provide a command-line interface. GUI-based wrappers such as YUM Extender (yumex) also exist, and has been adopted for Fedora Linux until version 22. A rewrite of YUM named DNF replaced YUM as the default package manager in Fedora 22. This was required due to Fedora's transition from Python 2 to Python 3, which isn't supported by YUM. DNF also improves on YUM in several ways - improved performance, better resolution of dependency conflicts, and easier integration with other software applications. The original package manager, Yellowdog UPdater (YUP) was developed in 1999-2001 by Dan Burcaw, Bryan Stillwell, Stephen Edie, and Troy Bengegerdes at Terra Soft Solutions (under the leadership of then CEO Kai Staats) as a back-end engine for a graphical installer of Yellow Dog Linux. As a full rewrite of YUP, YUM evolved primarily to update and manage Red Hat Linux systems used at the Duke University Department of Physics by Seth Vidal and Michael Stenner.

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RPM Package Manager

RPM Package Manager (RPM) (originally Red Hat Package Manager, now a recursive acronym) is a free and open-source package management system. The name RPM refers to the and the package manager program itself. RPM was intended primarily for Linux distributions; the file format is the baseline package format of the Linux Standard Base. Although it was created for use in Red Hat Linux, RPM is now used in many Linux distributions such as PCLinuxOS, Fedora, AlmaLinux, CentOS, openSUSE, OpenMandriva and Oracle Linux.

CentOS

CentOS (ˈsɛntɒs, from Community Enterprise Operating System; also known as CentOS Linux) is a discontinued Linux distribution that provided a free and open-source community-supported computing platform, functionally compatible with its upstream source, Red Hat Enterprise Linux (RHEL). In January 2014, CentOS announced the official joining with Red Hat while staying independent from RHEL, under a new CentOS governing board. The first CentOS release in May 2004, numbered as CentOS version 2, was forked from RHEL version 2.

Package manager

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. A package manager deals with packages, distributions of software and data in s. Packages contain metadata, such as the software's name, description of its purpose, version number, vendor, checksum (preferably a cryptographic hash function), and a list of dependencies necessary for the software to run properly.

Pyroomacoustics: A Python Package For Audio Room Simulation And Array Processing Algorithms

Eric Bezzam, Ivan Dokmanic, Robin Scheibler

We present pyroomacoustics, a software package aimed at the rapid development and testing of audio array processing algorithms. The content of the package can be divided into three main components: an intuitive Python object-oriented interface to quickly c ...

IEEE2018

TRACMIT: An effective pipeline for tracking and analyzing cells on micropatterns through mitosis

Pierre Gönczy, Olivier Burri, Arne Seitz, Benita Wolf

The use of micropatterns has transformed investigations of dynamic biological processes by enabling the reproducible analysis of live cells using time-lapse fluorescence microscopy. With micropatterns, thousands of individual cells can be efficiently image ...

2017

Orbe: Scalable Causal Consistency Using Dependency Matrices and Physical Clocks

Willy Zwaenepoel, Sameh Mohamed Elnikety, Jiaqing Du, Amitabha Roy

We propose two protocols that provide scalable causal consistency for both partitioned and replicated data stores using dependency matrices (DM) and physical clocks. The DM protocol supports basic read and update operations and uses two-dimensional depende ...

2013

Anaconda: Managing Python Packages and Environments

Covers managing Python packages and environments using Anaconda through the command line.