pyufunc

Welcome to pyufunc, your go-to Python package for a wide array of frequently used utility functions. Simplify your coding experience with this powerful toolkit, meticulously designed to enhance your productivity and streamline your development process. Whether you're a seasoned developer or just starting with Python, pyufunc provides a curated collection of utilities that cater to your everyday programming needs.

Pyufunc aims to bring together the most commonly used utility functions from different libraries and provide them in a single, cohesive package. By consolidating utility functions from multiple sources, pyufunc simplifies the process of finding and integrating various utility libraries into your projects. It provides a centralized resource for accessing a diverse set of utility functions, ultimately saving time and effort.

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If you discover useful functions that you believe should be included in the package for broader use, or if you have suggestions for additional utility functions, please share your comments here: https://github.com/xyluo25/pyufunc/issues.

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Key Features

1. Intuitive and Easy-to-Use: Simplicity is at the core of pyufunc's design. Every utility function is thoughtfully documented, making it easy for developers of all skill levels to integrate them seamlessly into their projects. Whether you're working on a small script or a large-scale application, pyufunc enhances your code without adding complexity.
2. Modularity and Extensibility: pyufunc is structured with modularity in mind. Each utility function is a standalone entity, allowing you to cherry-pick the ones you need without introducing unnecessary dependencies. Furthermore, the package is designed to be extensible, making it effortless to contribute your own utility functions and enrich the community.
3. Robust Collection of Utility Functions: pyufunc offers a versatile assortment of utility functions, carefully crafted and thoroughly tested to meet industry standards. The package covers diverse domains, including data manipulation, file handling, string operations, mathematical functions, and much more.
4. Regular Updates and Maintenance: Our team is dedicated to providing regular updates, ensuring that pyufunc remains compatible with the latest Python releases and industry best practices. We actively welcome community feedback and continually refine the package to meet developers' evolving requirements.
5. Time and Effort Savings: With pyufunc, you can avoid reinventing the wheel by leveraging pre-existing, widely used utility functions. This saves you time and effort in writing custom utility functions and allows you to focus on the core aspects of your project.

Let pyufunc take care of the repetitive tasks while you focus on building remarkable Python applications. Empower your projects with the efficiency and elegance that comes with pyufunc - your all-inclusive Python utility toolkit. Happy coding!

🚀️ No dependencies will be installed to your coding environment unless use of functions that need certain dependency

🚀️ Don't worry! the function will automatically install required package when you use it.

Existing Utility Functions Categorized by Functionality

This document serves as a curated compendium of existing utility functions, meticulously organized by keywords to facilitate ease of navigation and application for developers across various disciplines. By categorizing these functions, we aim to provide a structured overview that not only simplifies the discovery process but also encourages the exploration of new methods and techniques that may have been previously overlooked. This categorization is intended to serve as a bridge, connecting developers with the tools they need to optimize their code, improve functionality, and innovate within their projects.

The categories outlined in this document span a wide range of functionalities, each category is accompanied by a brief description, followed by a list of utility functions that fall under its umbrella, this comprehensive approach aims to arm developers with a robust toolkit, enabling them to select the most appropriate utility functions for their specific needs. Whether you are working on a complex application requiring advanced data manipulation or a simple project needing basic string operations, this guide endeavors to provide a valuable resource that enhances your development process and leads to more efficient, effective, and elegant coding solutions.

• utility_function_by_category.md

Existing Utility Functions Categorized by Keywords

This document is designed to serve as an invaluable resource for developers, offering an extensive list of existing utility functions organized by keywords. The use of keywords for organization purposes aims to streamline the search process, enabling developers to quickly and efficiently find the specific functions they need to enhance their projects. Utility functions play a crucial role in software development, providing pre-built solutions to common problems and tasks, thereby saving time and reducing the complexity of coding from scratch. By presenting these functions in a keyword-centric format, we facilitate a more intuitive and user-friendly approach to accessing a vast repository of tools, ensuring that developers can leverage the full potential of utility functions to optimize their code, improve performance, and innovate within their applications.

This methodical approach empowers developers to efficiently identify the functions that best match their current requirements, thereby enhancing their coding workflow and productivity. Whether tackling complex algorithmic challenges or implementing basic functionality, this guide aims to be an essential companion, fostering a deeper understanding and more effective use of utility functions in software development projects.

• utility_function_by_keyword.md

Comprehensive Review of Existing Python Utility Function Packages

In this section, you will find a comprehensive review of existing utility function packages. Before delving into the evaluations and insights, the author wishes to express sincere gratitude to all the developers behind these packages. Your contributions to the open-source community are invaluable, and it is with great appreciation that we acknowledge your efforts and dedication.

As part of our review, we have carefully selected and compiled useful utility functions from these packages into our own offering: pyufunc (Python Utility Functions), aimed at broadening their usage. Our goal with pyufunc is to collect all sorts of useful utility functions together to boost the efficiency of developers. If you need to use utility functions in your project, all you need is pyufunc.

This initiative is designed to streamline your development process, ensuring that you have access to a comprehensive toolkit that addresses a wide range of needs and scenarios. Through pyufunc, we aspire to provide a one-stop solution that encapsulates the best practices and functionalities from the open-source community, making it easier for developers to achieve their objectives with greater speed and efficiency.

Furthermore, we recognize the importance of proper usage and attribution of the utility functions we have integrated into pyufunc. If any package developer finds their utility function has been used improperly, we encourage you to reach out to the pyufunc developers for further discussion. We are committed to maintaining a respectful and collaborative relationship with the original developers, ensuring that all contributions are appropriately acknowledged and utilized within the bounds of open-source licenses and community norms. Your feedback and insights are crucial to us, as they help in refining pyufunc to better serve the open-source community.

Package Name	Latest Version	Latest Commit	Repository	Description
[@pyutil]			GitHub Repo 1 GitHub Repo 2	a library of useful Python functions and classes
[@Fu_PyHelpers_2020]			GitHub Repo	An open-source toolkit for facilitating Python users' data manipulation tasks
[@psutil]			GitHub Repo	Cross-platform lib for process and system monitoring in Python
[@pyutilator]			GitHub Repo	open source python package comprising of decorators that can be used for utility operations
[@pyutils]			GitHub Repo	Python utilities
[@common-pyutil]			GitHub Repo	Bunch of common utility functions I've used in various projects. This package provides a uniform interface to them.
[@pyutl]			GitHub Repo	functions and utilities to recycle code
[@pyutilities]			GitHub Repo	Useful utilities for python 3.10+
[@dry-pyutils]			GitHub Repo	This package's goal is to offer a set of utility methods I end up using in a lot of projects.
[@pripy-utils]			GitHub Repo	Python utilities
[@imutils]			GitHub Repo	A series of convenience functions to make basic image processing operations such as translation, rotation, resizing, skeletonization, and displaying Matplotlib images easier with OpenCV and Python.
[@dateutil]			GitHub Repo	Useful extensions to the standard Python datetime features
[@nb_utils]			GitHub Repo	python utility functions
[@Python-Charmers]			GitHub Repo	A collection of useful python programs.
[@python-in-action]			GitHub Repo	python crawler in action
[@tbm13-utils]			GitHub Repo	Python utils made for personal use on my projects.
...	...	...	...	...

Quick Tutorial

Install pyufunc

pip install

pip install pyufunc

Import package

import pyufunc as pf

General use (show existing utility functions)

import pyufunc as pf

# show all available utility functions by category
pf.show_util_func_by_category()

# show all available utility functions by keywords
pf.show_util_func_by_keyword()

# show all available functions by keyword in func_name
pf.find_util_func_by_keyword("show")

Community and Support

We welcome and encourage developers to contribute their valuable utility functions to pyufunc by submitting pull requests on Pyufunc GitHub Repository, helping to enrich the package and benefit the wider Python community.

Small improvements or fixes are always appreciated. If you are considering larger contributions to the source code, please contact us through email:

• Xiangyong (Roy) Luo: luoxiangyong01@gmail.com
• Dr. Xuesong Simon Zhou: xzhou74@asu.edu

Writing code isn't the only way to contribute to pyufunc. You can also:

• review pull requests
• help us stay on top of new and old issues
• develop tutorials, presentations, and other educational materials
• develop graphic design for our brand assets and promotional materials
• translate website content
• help with outreach and onboard new contributors
• write grant proposals and help with other fundraising efforts

For more information about the ways you can contribute to pyufunc, visit Pyufunc GitHub. If you' re unsure where to start or how your skills fit in, reach out! You can ask by opening a new issue or leaving a comment on a relevant issue that is already open on GitHub.

How to Cite

If you use pyufunc in your work and research, please use the following entry:

• Luo, Xiangyong and Zhou, Simon Xuesong. “Pyufunc: A Set of Utility Functions that Keep Python Sweet”. Zenodo, March 27, 2025. https://doi.org/10.5281/zenodo.15092919.

ACKNOWLEDGMENT

This open-source package is supported by National Science Foundation under grant no. TIP-2303748 titled, "POSE: Phase II: CONNECT: Consortium of Open-source Planning Models for Next-generation Equitable and Efficient Communities and Transportation"

Thank you to everyone who has contributed to the list of packages mentioned above. Your contributions have significantly enriched our open-source community. If any code violates your licensing agreements, please don't hesitate to Contact Developers.