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Ubuntu vs mac for data science
Ubuntu vs mac for data science








Ubuntu uses APT package manager to provide and manage software (applications, libraries and other required codes) while Fedora uses DNF package manager.

ubuntu vs mac for data science

Package management and software availability they are not created and maintained by a separate team. The teams are separate.įedora offers various desktop choices in the form of Fedora Spins. While they are the official flavor of Ubuntu, they are not directly developed by Ubuntu team from Canonical. Ubuntu has Kubuntu, Xubuntu, Lubuntu etc., offering various desktop flavors. It’s way simpler and easier with Ubuntu’s installer.Īpart from GNOME, both Ubuntu and Fedora offer several other desktop variants. I tried to “Reclaim space” using Fedora’s installer, but it didn’t do the trick.

ubuntu vs mac for data science

However, I feel that Ubuntu’s installer is simpler.Įspecially considering that it could be troublesome to format/delete existing drives/partitions using Fedora’s installer. This too simplifies the installation process with an easy-to-use interface. Ubuntu Installerįedora uses Anaconda installer. You can also install updates and third-party codecs while installing Ubuntu.

ubuntu vs mac for data science

In most cases, it can identify Windows installed on your system and allows you to dual boot Ubuntu and Windows in a matter of clicks. The Ubuntu installer allows you to install Ubuntu in around 10 minutes. I believe that it played an important role in Ubuntu’s popularity because when Ubuntu was just created in 2004, installing Linux itself was considered a huge task. Ubuntu’s Ubiquity installer is one of the easiest installers out there. Once you know that, it should be perhaps easier for you to make a choice. Let’s see how similar or how different are Ubuntu and Fedora from each other. Development team (backed by corporate or created by hobbyists).Package management, software support and updates.Base distribution (Debian, Red Hat, Arch or from scratch).Almost all Linux distributions differ from one another primarily on these points:










Ubuntu vs mac for data science