taskscore 0.1.11

No project description provided

Task Optimizer

Task Optimizer is a Python package designed to help prioritize tasks based on their importance and required effort. It uses a simple yet effective scoring formula to determine which tasks should be tackled first, making your decision-making process more efficient and data-driven.

Installation

To install Task Optimizer, simply use pip:

pip install taskscore

Usage

Using Task Optimizer is straightforward. Import the calculate_task_score function from the package and provide the task's importance and effort levels as integers between 1 and 4.

Example:

from taskscore.optimizer import calculate_task_score

# Define your task parameters
importance = 3  # Scale: 1 (least important) to 4 (most important)
effort = 2      # Scale: 1 (least effort) to 4 (most effort)

# Calculate the task score
score = calculate_task_score(importance, effort)
print(f"Task Score: {score}")

Functionality

• calculate_task_score(importance: int, effort: int) -> float:
• importance: Integer between 1 and 4, where 4 is the most important.
• effort: Integer between 1 and 4, where 4 requires the most effort.
• Returns: A float value representing the task score. Higher scores indicate tasks that should be prioritized.

Contributing

Contributions to Task Optimizer are welcome! Please read our contribution guidelines for details on submitting pull requests.

License

This project is licensed under the MIT License - see the file for details.