Setting Up an Airflow Environment with Python

Описание: Now that we understand the power of Airflow, let's get into setting up your environment. First, ensure you have Python installed, as it is crucial for running Airflow. We'll begin by installing Apache Airflow using pip, the Python package manager. You can do this by running 'pip install apache-airflow'. Next, configure your Python environment to manage dependencies efficiently. Understanding the basic architecture of Airflow is important; it consists of components like the Scheduler, Web Server, and Workers. Setting up these components correctly is vital for the smooth functioning of your workflows. Once installed, initiate your Airflow database with 'airflow db init'. This sets you on the path to creating your first data pipeline.