![]() ![]() The next step is to specify the location for the anaconda3 installation, you enter a new location or use the default one.Īnaconda3 will now be installed into this location: You can press ENTER to continue the installation, next you will have go through the license and approve the license terms with yes: In order to continue the installation process, please review the license You will receive this output with several questions, which you should confirm and choose the location where you want to install Anaconda. To start the anaconda installation, run the command below in the directory where you downloaded the installer: $ bash anaconda.sh The installer file is verified now, you are ready to run the installer. To check the integrity of this installer file, you can use the following command for hash verification with SHA-256 checksum: $ sha256sum anaconda.shĩ5102d7c732411f1458a20bdf47e4c1b0b6c8a21a2edfe4052ca370aaae57bab anaconda.sh ![]() Now you can rename the installation script to a shorter name, for example, anaconda.sh: $ mv Anaconda3-2023.03-1-Linux-x86_64.sh anaconda.sh Please note, at the time of writing this article, the 2023.03-1 was the latest anaconda version available you can check for the latest version at the anaconda repo. To download Anaconda from the anaconda repo, you can use the following command: $ wget ![]() User privileges: root or non-root user with sudo privileges.This feature is particularly useful when working on multiple projects with different requirements. Environments allow you to create separate Python environments with specific versions of Python and libraries, ensuring project reproducibility and avoiding conflicts between different packages and versions. Another key feature of Anaconda is its support for creating isolated environments. These libraries are widely used for numerical computing, data manipulation, visualization, machine learning, and other data-related tasks. It includes popular libraries such as NumPy, Pandas, SciPy, Matplotlib, scikit-learn, and many others. One of the main advantages of Anaconda is its extensive library support. Anaconda is an open-source environment and package manager, also a distribution of the Python programming language specifically designed for data science and machine learning tasks. ![]()
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