Two of the prominent depository tools contained within Anaconda include the navigator. Anaconda is also compatible with Mac, Windows, and Linux operating systems. Anaconda serves the purpose of a command-line tool, whereas Navigator is based on graphical user interface (GUI).

From a broader perspective, Anaconda is a dedicated podium to achieve machine learning. Anaconda is distinguished in its many functional abilities, which include managing system packages, computing and processing large-scale data, influencing predictive analytics, and performing programming in the Python language. You cannot, or, better, you shouldn't, use the system's installation in your virtual environment, as this would defy the purpose of having a virtual environment in the first place and could easily lead to a broken system.Any installation activities in Ubuntu require updating packages before proceeding. So, in your case in which you wanted to use Python 3.8 in my_env, Python 3.8 would have to be downloaded again, since, as said before, the environment's Python version is independent of the main OS's version. In the case of Python specifically, this is one of the most common reasons that users end up with a broken system. It has the big advantage that all packages installed in it won't affect the ones that come preinstalled with the OS, so they can be handled (updated, downgraded, removed, etc.) separately, effectively eliminating breakages of the main system due to unsatisfied dependencies, etc.

Using the commands conda activate my_env and conda install python=3.8 you first tell conda to activate the virtual environment named my_env and then install Python 3.8 in it.Ī virtual environment is an environment (think of it as a special folder) that is used to install Python (or another supported language), as well as packages and their dependencies, independently from the main OS. What you observed is correct and is exactly how conda is supposed to work.

How to know conda python version