Skip to main content

Tool to run several user tasks in parallel

Project description

# Parallel Executor

The purpose of this library is to execute bunch of tasks to run independently in parallel

## Version

1.1

## Installation

pip install parallel-executor==1.1

## Basic usage example task1 = Task(‘Task1’, lambda: 2+2) task2 = Task(‘Task2’, lambda: 2*2) tasks = [task1, task2] e = Executor(3, 3, tasks) e.executeTasks() print(task1.getResult()) print(task2.getResult())

## History - 1.1 Not closing thread bug was fixed - 1.0 Initial release

## Author

Dovydas Jančauskas

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

parallel_executor-1.1-py3-none-any.whl (4.0 kB view details)

Uploaded Python 3

File details

Details for the file parallel_executor-1.1-py3-none-any.whl.

File metadata

File hashes

Hashes for parallel_executor-1.1-py3-none-any.whl
Algorithm Hash digest
SHA256 6a543b1c675650185ec2fb156f472272a79ce2e0b73e000064c07bcfa0cf7aad
MD5 0a57c13a1d53c81c9ad184aee9299e5a
BLAKE2b-256 d09dfc2a93513dc32ea4e54a6dc98d4e1463ebbc86bede104fd155f8bfd36421

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page