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Followed by the advent of distributed version control systems (DVCS), Git naturally enables the usage of a pull-based development model, in which developers can copy the project onto their own repository and then push their changes to the original repository, where the integrators will determine the validity of the pull request. Since its ...
git clone [URL], which clones, or duplicates, a git repository from an external URL. git add [file], which adds a file to git's working directory (files about to be committed). git commit -m [commit message], which commits the files from the current working directory (so they are now part of the repository's history). A .gitignore file may be ...
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]
Organizations utilizing this centralize pattern often choose to host the central repository on a third party service like GitHub, which offers not only more reliable uptime than self-hosted repositories, but can also add centralized features like issue trackers and continuous integration.
In version control systems, a repository is a data structure that stores metadata for a set of files or directory structure. [1] Depending on whether the version control system in use is distributed, like Git or Mercurial, or centralized, like Subversion, CVS, or Perforce, the whole set of information in the repository may be duplicated on every user's system or may be maintained on a single ...
The first commit to the GitHub repository is on 12 December 2017 by Romain Vimont. [8] scrcpy v1.0 was released 3 months later which included the support for basic screen mirroring and Android remote control.
It allows the use of a standard Git workflow, but without the need to store those files in the repository. Large files, directories and ML models are replaced with small metafiles, which in turn point to the original data. Data is stored separately, allowing data scientists to transfer large datasets or share a model with others. [6]
Apache NiFi is a software project from the Apache Software Foundation designed to automate the flow of data between software systems.Leveraging the concept of extract, transform, load (ETL), it is based on the "NiagaraFiles" software previously developed by the US National Security Agency (NSA), which is also the source of a part of its present name – NiFi.