Data is more than just numbers; it includes information in various forms such as text, dates, images, and videos.
Data can be structured (organized in rows and columns) or unstructured (e.g., social media posts, emails). Python is a suitable programming language for working with both types.
Python is versatile, beginner-friendly, and well-suited for handling large amounts of data. Jupyter notebooks provide a convenient environment for data analysis and visualization.
Programming with Python involves understanding variables as storage containers for information. Variables help organize and process data, enabling better control and independence in working with data.