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

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.

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Publication Details

Journal
University of Birmingham Research Portal (University of Birmingham)
Published
2026-04-13
DOI
https://doi.org/10.5281/zenodo.19557056
Citations
2
Primary Topic
Computational Physics and Python Applications
Type
article
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article

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

Qian Fu
2 citations
University of Birmingham Research Portal (University of Birmingham)
Computational Physics and Python Applications
article

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

Qian Fu
article en
2 citations

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.

University of Birmingham Research Portal (University of Birmingham)
University of Birmingham (GB)
Computational Physics and Python Applications
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