Python Pandas vs. Dask DataFrames: A Comparative Analysis

Author(s): Ulrik Thyge Pedersen

Originally published on Towards AI.

A Comparison of Python’s Popular Data Manipulation Libraries

Photo by Peter Burdon on Unsplash

DataFrames are a popular data structure used for data manipulation and analysis in Python. Pandas and Dask are two popular libraries that provide DataFrame functionality in Python.

Pandas is a fast, powerful, and flexible open-source data analysis library that provides a DataFrame data structure for working with tabular data. Pandas is built on top of NumPy and provides easy-to-use data manipulation functions and data visualization tools.

The Pandas DataFrame is a two-dimensional table-like data structure, with columns of potentially different types. It is similar to a spreadsheet or SQL table, with named columns and numbered rows. Pandas… Read the full blog for free on Medium.

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Published via Towards AI