- Later 1 0 6 – Schedule Reminders Using Natural Language Worksheets
- Later 1 0 6 – Schedule Reminders Using Natural Language Pdf
- Later 1 0 6 – Schedule Reminders Using Natural Language Test
- Later 1 0 6 – Schedule Reminders Using Natural Language Problems
Released:
You can describe almost any kind of date using natural language –from a simple tomorrow at 4 pm to a super specific repeating due date like every 3rd Tuesday starting Aug 29 ending in 6 months. We currently don’t support due dates in Arabic, Traditional Chinese, Czech and Turkish but we’re working on it and plan to add support for these. Now, the weekly schedule isn’t about cramming as many activities as possible into your calendar. Instead, it’s best used to make sure you’re maximizing the time spent on your Todoist tasks. That’s why I recommend setting up a simple weekly schedule, using this three-step process: Step #1: Sync Todoist with Google Calendar. 1 min read Instead of scrolling through calendar dates to set up meetings or events, you can use natural language to book them in your Outlook Calendar. Just type in something like “next Friday” or “Christmas Eve,” and Outlook will automatically find the right date for you.
Then, also use natural language to distinguish between reminders, deadlines/due dates and shifts. On June 15th; At 3 PM; On Monday at 3:30 PM; Tomorrow at 5 PM; Deadlines/Due dates. By Monday; Before 5 PM; By Monday at noon; Shifts. From 3 to 4 PM; 11 until 12PM; Monday, 10 – 11am; When using the creation form, few smart.
Job scheduling for humans.
Project description
Later 1 0 6 – Schedule Reminders Using Natural Language Worksheets
Python job scheduling for humans.
An in-process scheduler for periodic jobs that uses the builder patternfor configuration. Schedule lets you run Python functions (or any othercallable) periodically at pre-determined intervals using a simple,human-friendly syntax.
Inspired by Adam Wiggins’ article “Rethinking Cron” and the clockwork Ruby module.
Features
- A simple to use API for scheduling jobs.
- Very lightweight and no external dependencies.
- Excellent test coverage.
- Tested on Python 2.7, 3.5, and 3.6
Documentation
Schedule’s documentation lives at schedule.readthedocs.io.
Please also check the FAQ there with common questions.
Meta
Daniel Bader - @dbader_org - mail@dbader.org
Distributed under the MIT license. See LICENSE.txt for more information.
Release historyRelease notifications | RSS feed
0.6.0
0.5.0
0.4.3
Magoshare data recovery 4 0. 0.4.2
0.4.1
0.4.0
Later 1 0 6 – Schedule Reminders Using Natural Language Pdf
0.3.2
0.3.1
0.3.0
0.2.1
0.2.0
0.1.11
Later 1 0 6 – Schedule Reminders Using Natural Language Test
0.1.10
0.1.8
0.1.7
0.1.6
0.1.5
0.1.4
0.1.3
0.1.2
0.1.1
Later 1 0 6 – Schedule Reminders Using Natural Language Problems
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