On Fedora, CentOS, RHEL, AlmaLinux: $ sudo dnf install libXcomposite libXcursor libXi libXtst libXrandr alsa-lib mesa-libEGL libXdamage mesa-libGL libXScrnSaver On Debian, Ubuntu and other DEB-based systems: $ sudo apt install libgl1-mesa-glx libegl1-mesa libxrandr2 libxrandr2 libxss1 libxcursor1 libxcomposite1 libasound2 libxi6 libxtst6 If you are using Arch Linux and its derivatives like Manjaro Linux, install the following prerequistes: $ sudo pacman -Sy libxau libxi libxss libxtst libxcursor libxcomposite libxdamage libxfixes libxrandr libxrender mesa-libgl alsa-lib libglvnd For the purpose of this guide, I will be using Anaconda Individual edition.īefore installing Anaconda distribution on your Linux machine, make sure you have installed all required prerequisites. The Individual edition is free for personal use and learning purposes.

and visualize results using various tools.Īs stated already, Anaconda Python distribution comes as free and paid editions.

develop and train machine learning and deep learning models,.

manage libraries, packages and virtual environments,.

download a collection of over 1500+ Python and R data science packages,.

Anaconda featuresĪnaconda distribution enables the data scientists to: It also includes Anaconda Navigator, a graphical alternative for those who are not comfortable with the command line interface.

Install packages into specified Conda environment,.

Conda was created for Python packages, however it can be used for other languages as well.

Anaconda ships with a command line package and virtual environment manager called Conda, which is used to manage and deploy applications, environments and packages.

How to know conda python version