This is why more and more people are switching to Mamba, even though sometimes tiny differences in installations can be observed. Mamba and Conda will then install the software, but Mamba does it much faster. If you go for Mamba or Mamba-forge, you can still do that, but you can also call mamba install some-program When you’re using Anaconda or Mini-conda, you can call the command conda install some-program I am not using the graphical user interface Navigator, because I like to introduce you to reproducible ways for working with Conda and this is the most straight forward by using 2-3 commands from the terminal. The only difference is: If you go for Anaconda or Mini-Conda, please install Mamba into your base environment. Without going in the nitty-gritty details of differences, I claim that the instructions below will work with all of these. Conda environments.Ĭonda exists in in multiple flavours, such as: It makes our life easy in the context of installing software and maintaining collections of software, a.k.a. Sharing your operating system will all installed programs is much more tricky. Furthermore, you can easily share a conda environment with colleagues. If you screw up a Conda environment by installing the wrong software, you just delete the environment and create a new one. The difference between package managers on operating system level and in Conda is: If you screw up your operating system by installing a wrong software, you will have a hard time. Operating systems use them already for decades and users do not really notice. This can be tricky for example if you try to combine recent software with outdated tools from a couple of years ago. It aims to make sure that anything you install is compatible with each other. Conda is package manager, a software that allows you to install other software. Nowadays, many Scientific Python Programming courses ask their attendees to install some form of Conda in advance. We will also take a short excursion on how things can be screwed up. We will see what conda and mamba are, what they are good for, and how to use them properly. TL:DR: This blog post gives short instructions and explanations to demystify how some scientific Python programmers, including myself, organize their coding environment for the sake of reproducibility of science.
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