This release is a pre-release and may not be stable for production use.
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.
Installation
PyHelpers can be installed using uv (recommended) or pip.
Using uv (Recommended)
To add PyHelpers to an existing project:
uv add pyhelpers
To include all optional features (e.g. geospatial and database tools):
uv add "pyhelpers[full]"
If you are working in an activated virtual environment:
uv pip install --upgrade pyhelpers
Using pip
If you prefer standard Python packaging tools, ensure your virtual environment_ is activated:
pip install --upgrade pyhelpers
To install with all optional dependencies:
pip install --upgrade "pyhelpers[full]"
For detailed options, development setup and Windows troubleshooting (e.g. installing C-extension wheels), see the full Installation Guide.
Quick start
For a concise guide on how to use PyHelpers, check out the Quick Start tutorial, which includes illustrative examples for each of the subpackages.
These examples briefly demonstrate the capabilities of PyHelpers in facilitating data manipulation tasks and streamlining work processes.
Documentation
The complete PyHelpers Documentation is available in HTML and PDF formats.
It is hosted on Read the Docs, and the HTML version is also accessible via GitHub Pages. The documentation includes detailed examples, tutorials and comprehensive references to help users get the most out of PyHelpers.
Cite as
Fu, Q. (2020). PyHelpers: An open-source toolkit for facilitating Python users' data manipulation tasks. Zenodo. doi:10.5281/zenodo.4017438.
@software{Fu_PyHelpers_2020,
author = {Fu, Qian},
title = {{PyHelpers: An open-source toolkit for facilitating Python users' data manipulation tasks}},
year = {2020},
publisher = {Zenodo},
doi = {10.5281/zenodo.4017438},
license = {MIT},
url = {https://doi.org/10.5281/zenodo.4017438},
}
For specific version references, please refer to Zenodo.
License
PyHelpers is licensed under the MIT License.
Please note that this project was initially licensed under the GPLv3+ up to version 1.5.2. Starting with version 2.0.0, it has been re-licensed under the MIT License.
1 maintainer
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