anaconda python linux mint

February 6, 2024

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Anaconda is a powerful open-source distribution of Python and R programming languages for scientific computing, machine learning, and data science. This tutorial will guide you through the process of installing Anaconda Python on Linux Mint and getting started with creating and managing Python environments.
Visit the official Anaconda website at https://www.anaconda.com/products/distribution and download the appropriate version for Linux. Choose the Python 3.x version, as it is the most recent and widely used.
Navigate to the directory where you downloaded the Anaconda installer script and run the following commands:
Follow the on-screen instructions to complete the installation. Make sure to read and agree to the license terms, and specify the installation location. It’s recommended to add Anaconda to your system’s PATH during installation.
Once the installation is complete, open a new terminal or restart your existing terminal. To activate the base Anaconda environment, use the following command:
This command modifies your shell configuration to include the Anaconda binaries in your PATH. You may need to close and reopen your terminal or run source ~/.bashrc (or source ~/.zshrc for Zsh) for the changes to take effect.
To create a new Python environment, use the conda create command. Replace myenv with your desired environment name.
Activate the newly created environment:
Install packages into the active environment using conda install:
List all created environments:
Deactivate the currently active environment:
Anaconda includes Jupyter Notebooks, a popular interactive computing environment. Launch Jupyter Notebooks using the following command:
This will open a new tab in your web browser, allowing you to create and run Python notebooks.
Congratulations! You’ve successfully installed Anaconda Python on Linux Mint and learned the basics of creating and managing Python environments. This setup provides a solid foundation for exploring data science, machine learning, and scientific computing with Python.
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