taskscore2 0.1.1

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Task Prioritizer

Task Prioritizer is a Python package designed to help you decide which task to tackle first based on a simple scoring formula. This tool is particularly useful when you're balancing tasks with varying levels of importance and effort.

Installation

You can install Task Prioritizer directly from PyPi:

pip install task_prioritizer

Usage

To use Task Prioritizer, you need to provide two key pieces of information for each task: its importance and the effort required to complete it. Both parameters should be between 1 and 4.

Here's a quick example:

from task_prioritizer.prioritizer import calculate_task_score


# Example tasks
tasks = {
    "Cleaning the house": (3, 4),  # (importance, effort)
    "Studying programming": (4, 2),
    "Paying the bills": (4, 1)
}

# Calculating and printing task scores
for task, (importance, effort) in tasks.items():
    score = calculate_task_score(importance, effort)
    print(f"Task: {task}, Score: {score}")

Function Documentation

calculate_task_score(importance: float, effort: float) -> float

importance (float): The importance of the task, should be between 1 and 4. effort (float): The effort required to complete the task, should be between 1 and 4. Returns (float): The calculated score of the task. Raises ValueError: If importance or effort is not within the required range.

Contributing

Contributions to Task Prioritizer are welcome! Please feel free to submit pull requests or open issues on the GitHub repository.

License

This project is licensed under the MIT License.