PyHelpers: An open-source toolkit for facilitating Python users' data manipulation tasks

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Authors: Qian Fu
Cited by: 2

Abstract

PyHelpers is an open-source Python package designed to streamline data (pre-)processing and manipulation tasks. It accommodates a wide range of functions and classes grounded in practical applications, making common data operations more accessible and efficient. This toolkit is particularly useful for Python learners, researchers and data scientists seeking to enhance their workflows. The package supports handling various data types, such as geographical and textual data, allowing for flexibility for diverse data processing needs. It also simplifies data input and output operations by offering functionalities for managing many different file-like objects. In addition, PyHelpers facilitates communication with relational databases, such as PostgreSQL and Microsoft SQL Server. This capability greatly smooths data integration with database systems through efficient data storage and retrieval. With its comprehensive suite of practical tools, PyHelpers simplifies complex data processing tasks and boosts productivity. It is ready to serve as an essential resource for effective data manipulation, management and analysis for anyone working with data in Python. For more information and detailed specifications, check out the PyHelpers 2.4.0 documentation.

Fields of Study & Subjects

Computational Physics and Python Applications

Publication details

Journal / source
University of Birmingham Research Portal (University of Birmingham)
Publication date
13 April 2026
Language
EN