Pandas articles

Pandas is an open-source Python library providing high-performance, easy-to-use data structures, and data analysis tools. It's particularly well-suited for handling structured data, like tabular or time-series data. The primary data structures in Pandas are DataFrame and Series, which allow for efficient storage, manipulation, and analysis of datasets. Pandas is widely used in data science, finance, and analytics for tasks like data cleaning, transformation, and analysis, and is an integral part of the Python data science stack, often used in conjunction with libraries like NumPy, SciPy, and Matplotlib.