Data indexing is the process of organizing data to enable efficient retrieval and analysis. It is commonly used for improving the speed and performance of searching operations in large datasets.
Pandas: A popular Python library used for data manipulation and analysis, offering data structures like DataFrames which support indexing.
DataFrame: A two-dimensional labeled data structure in Pandas that supports various forms of indexing to access rows and columns.
Hierarchical Indexing: \text{Also called multi-level indexing}, it allows for multiple index levels on an axis of a DataFrame or Series, enabling more complex queries.