A DataFrame in Python's pandas library is a labeled two-dimensional data structure with columns that may have different types. It resembles a spreadsheet or SQL table where each row represents a sample or observation and each column represents a feature or variable. DataFrames can be created from various sources, and provide powerful tools for manipulating, aggregating, and visualizing data. They are frequently used in data analysis, machine learning, and scientific computing.
Methods covered: create, subsetting (select), describe, iloc e.t.c