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Installation Guide

1. Using conda (STRONGLY RECOMMENDED)

If you are using conda, you can create an environment and install dependencies from requirements.txt.

Step 1: Create a Conda Environment with the right dependencies

conda env create -f environment.yml

Step 2: Activate the Conda Environment

conda activate DA_env

2. Using pip and venv

If you are using pip, it's recommended to create a virtual environment first.

Step 1: Create and Activate Virtual Environment

On macOS/Linux:

python3 -m venv my_env
source DA_env/bin/activate

On Windows:

python -m venv my_env
DA_env\Scripts\activate

Step 2: Install Dependencies

Once the virtual environment is activated, install the dependencies:

pip install -r requirements.txt

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First project of Data Analytics

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