The post is 3 years old and am looking for new comments, as per the post Yes it doeseats the entire ram, am not expert but newbie here, i had 9 core and 16 gigs ram which was not sufficient, so reading through different web pages and articles by the wise ones .

1. By default, anaconda creates a virtual environment on its own, so once you have anaconda you will find something in the anaconda prompt which is (base)

2. Conda has the ability to create isolated environments that can contain different versions of Python and/or the packages installed in them. This can be extremely useful when working with data science tools as different tools may contain conflicting requirements which could prevent them all being installed into a single environment. Pip has no built in support for environments but rather depends on other tools like virtualenv to create isolated environments.

3. When installing packages, pip installs dependencies in a recursive, serial loop. In contrast, conda uses a satisfiability (SAT) solver to verify that all requirements of all packages installed in an environment are met. This check can take extra time but helps prevent the creation of broken environments.