https://github.com/khuyentran1401/Task-scheduler-problem

https://github.com/khuyentran1401/Task-scheduler-problem

Last synced: 11 days ago
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• Host: GitHub
• URL: https://github.com/khuyentran1401/Task-scheduler-problem
• Owner: khuyentran1401
• License: apache-2.0
• Created: 2020-01-13T19:05:33.000Z (almost 5 years ago)
• Default Branch: master
• Last Pushed: 2023-03-11T16:28:51.000Z (over 1 year ago)
• Last Synced: 2024-08-01T16:46:57.727Z (3 months ago)
• Language: Jupyter Notebook
• Homepage:
• Size: 73.2 KB
• Stars: 22
• Watchers: 3
• Forks: 9
• Open Issues: 6
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Task Scheduler

[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/khuyentran1401/Task-scheduler-problem/master)

Creating to-do lists is easy. Creating truly effective to-do lists, and managing those tasks correctly? If you're anything like me - not so much. This repository reframes task management as a classic optimization problem that can be solved mathematically, incorporating the principles behind the Eisenhower Decision Matrix.

The author of this project, [Khuyen Tran](https://github.com/khuyentran1401), also wrote a [great tutorial explaining the logic and math behind this project](https://towardsdatascience.com/maximize-your-productivity-with-python-6110004b45f7), which you should definitely give a read if you're interested in this sort-of thing.