Simplify Python Data Science Workflows with Anaconda on Raspberry Pi 4

Learn how to install Anaconda on your Raspberry Pi 4 for a more efficient data science workflow. Anaconda is an open-source distribution of Python and R that simplifies package management, deployment, …

Learn how to install Anaconda on your Raspberry Pi 4 for a more efficient data science workflow. Anaconda is an open-source distribution of Python and R that simplifies package management, deployment, and environment creation.

Prerequisites: Before starting the installation, make sure that you have the following:

1. A Raspberry Pi 4 with a working internet connection.
2. A MicroSD card with Raspbian OS installed and configured. If you haven’t done this yet, follow the official Raspberry Pi documentation to set up your Pi.
3. A command line interface (CLI) on your Raspberry Pi. You can use ssh or connect a keyboard and monitor directly to the Pi for this.

Step 1: Update and upgrade Raspbian

First, update the package lists and install any available updates with the following commands:

sudo apt-get update
sudo apt-get upgrade

Step 2: Download Anaconda

Next, download the latest version of Anaconda for Linux ARM from the official website. Choose the Python 3.7 version for Raspberry Pi.

wget https://repo.anaconda.com/archive/Anaconda3-2021.05-Linux-ARMv7l.sh

Step 3: Install Anaconda

Make the downloaded file executable and install it with the following commands:

chmod +x Anaconda3-2021.05-Linux-ARMv7l.sh
./Anaconda3-2021.05-Linux-ARMv7l.sh

Follow the prompts to accept the license agreement and choose the installation location (default is /home/pi/anaconda3).

Step 4: Add Anaconda to your PATH

To use Anaconda without having to specify its full path every time, add it to your PATH environment variable. Open your .bashrc file with a text editor and add the following lines at the end of the file:

export PATH="/home/pi/anaconda3/bin:$PATH"

Save and close the file, then reload it with:

source .bashrc

Step 5: Test your installation

To verify that Anaconda is installed correctly, run:

conda --version

You should see the version number of your Anaconda installation.

Conclusion

Now you have successfully installed Anaconda on your Raspberry Pi 4. With this powerful tool, you can manage Python environments and packages more efficiently, as well as deploy your code across multiple platforms. Happy data science!