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Cover image for How to install Anaconda on Arch Linux
Amal Satheesan
Amal Satheesan

Posted on • Updated on

How to install Anaconda on Arch Linux

#anaconda #python #archlinux #jupyter

Links:

Step 1: Clone the Package to Your System

  1. Click on the Git Clone URL and copy the repository link.
  2. Open your terminal and navigate to your desired directory. Here, I'm moving to the /Downloads/ directory. 
git clone https://aur.archlinux.org/packages/anaconda
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Once the cloning process completes successfully, proceed to the next step.

Step 2: Install the Package into Your System

  1. Open a terminal and change directory to where you cloned the repository. 
cd /Downloads/anaconda
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  1. Build and install the package using makepkg. 
makepkg -si
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This process will take some time. Once it finishes, proceed to the next steps.

  1. Locate the installation script, typically named anaconda_xxxxxx.sh. Make it executable from the terminal. 
sudo chmod +x anaconda_xxxxxx.sh
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  1. Execute the installation script. 
sudo ./anaconda_xxxxxx.sh
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Follow the on-screen prompts, including reading the agreement and typing yes to proceed with the setup.

Creating Environment and Example

To activate the base environment:

conda activate base
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You'll see (base) in front of your terminal prompt indicating the base environment is active.

For those who installed Anaconda, you can launch Anaconda Navigator using:

anaconda-navigator
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That's it for Anaconda installation.

Miniconda Verification

Verify the Miniconda installation by checking its version:

conda --version
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Checking Miniconda Path

To ensure Miniconda's binaries are in your PATH:

echo $PATH
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Look for a directory like /path/to/miniconda3/bin in the output. If it's missing, you'll need to add it to your PATH.

Assuming everything is correct, activate the base environment again:

conda activate base
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Opening Jupyter Notebook

Install Jupyter Notebook:

conda install jupyter notebook
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Then, launch Jupyter Notebook:

jupyter-notebook
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You've successfully run Jupyter Notebook with Miniconda.

Extra Perks

1. Creating a New Conda Environment

Create a new environment specifying Python version and install packages:

conda create -n <env_name> python=<version>
conda activate <env_name>
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For example:

conda create -n myenv python=3.9
conda activate myenv
conda install numpy
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2. Listing and Deleting Environments

List all environments:

conda env list
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Delete an environment:

conda env remove -n <env_name>
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3. Deactivating an Environment

Deactivate the current environment:

conda deactivate
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For more information on managing environments, refer to this link.

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