data_func

This repository contains a collection of Python functions tailored for various data-related tasks.

Overview

The data_func repository hosts a set of Python functions designed to assist with common data handling, preprocessing, analysis, and evaluation tasks. These functions aim to streamline workflows and improve efficiency when working with datasets.

File Structure

The repository contains the following files:

data_func.py: The main Python file housing the data-related functions. requirements.txt: A file listing the required dependencies and packages to run the functions. README.md: This file providing an overview and instructions for using the repository.

Usage

To utilize the functions in data_func.py, follow these steps:

Clone the Repository: Clone or download this repository to your local machine.

git clone https://github.com/murega14/data_func.git

Install Dependencies: Ensure you have the necessary dependencies by installing the required packages listed in requirements.txt.

pip install -r requirements.txt

Import Functions: In your Python script or notebook, import the functions you need from data_func.py.

from data_func import function_name

Function Usage: Use the imported functions according to their intended purposes. Check the documentation or comments within data_func.py for details on each function's usage and parameters.

Contributions

Contributions, suggestions, and improvements to enhance the functionality and scope of this collection of data functions are welcome. Feel free to fork the repository, make changes, and submit pull requests.

If you encounter any issues or have ideas for enhancements, please open an issue to discuss them.

License

This repository is licensed under the MIT License