miniconda-linux

A comprehensive guide on how to download, install, and use Miniconda. This guide includes steps for creating and activating Conda environments, installing packages within specific environments, and running Python scripts within a chosen environment.

Miniconda Installation Guide

Downloading and Installing Miniconda

1. Download Miniconda using the following link: Miniconda3-py310_22.11.1-1-Linux-x86_64.sh
2. Navigate to your downloads directory:

   cd path_to_your_downloads_directory
   

3. Make the downloaded file executable:

   chmod +x Miniconda3-py310_22.11.1-1-Linux-x86_64.sh
   

4. Run the installer:

   ./Miniconda3-py310_22.11.1-1-Linux-x86_64.sh
   

5. Follow the on-screen instructions. Accept the licenses and type "yes" when prompted. Install it to the default location.

Post-Installation

• Close and reopen your terminal. You should now see a (base) indicator at the beginning of the command prompt, signaling that Miniconda was installed successfully.

• The official Conda Cheat Sheet is a helpful resource.

Creating a Conda Environment

To create a new environment with a specific Python version, use:

conda create --name your_environment_name python=desired_python_version

Example:

conda create --name my_test_name python=3.8

Note: Some projects may require a specific Python version.

Activating a Conda Environment

1. List all available environments:

   conda env list
   

2. Activate the desired environment:

   conda activate your_environment_name
   

Once activated, you'll notice the (base) indicator changes to (your_environment_name).

Installing Packages to a Specific Environment

To ensure a clean Python installation, use Conda environments instead of modifying the base Python installation.

1. Navigate to your project workspace.
2. Activate the desired Conda environment.
3. Install the required packages:

   pip install -r requirements.txt
   

Running a Python Script in a Conda Environment

1. Open a terminal in the directory containing your main.py file.
2. Activate the desired Conda environment.
3. Run your script:

   python main.py