Using conda from Anaconda is really easy to install complex environments even like TensorFlow on many different Linux distributions and Windows.
conda utility and its multiple environments guarantee no changes from the package system of the current Linux distribution. Installing operating system updates may break fine-tuned and complex development environments. Installing packages from conda minimizes the OS-related problems and offers the user to use of complex development setups in various Linux distributions like CentOS, Fedora, Manjdaro, Mint, Debian, Ubuntu, Elementary OS with the same command line interface.
Using pip instead of conda may lead to a broken environment after simple OS package updates.
STEP 1) Install conda command line utility.
The install is easy enough, just follow this article – Installing conda command line in various systems with miniconda and create a simple python environment
The conda command-line utility is installed by Miniconda3.
STEP 2) Search for conda packages.
Use the search command to find packages. All available versions are displayed supported for the current installation.
Keep on reading!