![]() ![]() You have multiple machines with different Linux distributions or even a mix of Linux/macOS/Windows, and you want the same environment across them.You want to always experiment with the latest version of everything, but don’t want to deal with incompatibilities and figuring out which version goes with which version.You just got a new machine (maybe with a GPU) and you want to get started quickly.You want a repeatable, trackable installation process that you can share across platforms and distributions, which could also include non-python packages.You need to install conflicting requirements for different projects on the same machine.You want to be able to move your environments between machines.You invariably end up with a giant mess that you have to clear up and then restart from scratch.You spend way too much time installing and configuring software instead of focusing on the projects you need to work on.Installing packages, and environments ∘ The base environment ∘ Other environments ∘ The best way to use Jupyter and conda ∘ Removing environments ∘ Sharing an environment Ĭonda is for you if one or more of the following are true:.How to install conda ∘ Getting Miniconda.What is conda ∘ Conda and pip ∘ Conda Vs Anaconda Vs Miniconda.Photo by Patrick on Unsplash Table of contents ![]()
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