opus45 0.0.0

Tasks queue implementation in python.

Opus

Opus is a Python package for efficient task execution, designed to handle parallel and distributed workloads seamlessly. Whether you need to execute tasks asynchronously, schedule workflows, or manage dependencies, Opus provides a simple yet powerful interface.

Features

• Asynchronous Task Execution: Run tasks concurrently using Python's async capabilities.
• Parallel Processing: Utilize multi-threading and multi-processing for performance.
• Simple API: Easy-to-use interface for defining and executing tasks.

Installation

You can install Opus using pip:

pip install opus

Quick Start

Define and Execute a Task

from opus import Task

# Define a simple task
def my_task(name):
    print(f"Hello, {name}!")

# Create and execute the task
task = Task(my_task, args=("World",))
task.run()

Using Async Tasks

import asyncio
from opus import AsyncTask

async def async_task(name):
    await asyncio.sleep(1)
    print(f"Async Hello, {name}!")

# Run an async task
task = AsyncTask(async_task, args=("Async World",))
asyncio.run(task.run())

Contributing

Contributions is welcomed! Please open an issue or submit a pull request on GitHub.

License

Opus is licensed under the MIT License.

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For more details, visit our GitHub repository.