APScheduler provides many different ways to configure the scheduler. You can use a configuration dictionary or you can pass in the options as keyword arguments.

The core concept of APScheduler is to give the user the ability to queue Python code to be executed, either as soon as possible, later at a given time, or on a recurring schedule.

Advanced Python Scheduler Table of Contents User guide Version history Migrating from previous versions of APScheduler Contributing to APScheduler Extending APScheduler Frequently Asked …

How do I use APScheduler in a web application? First read through the previous section. If you’re running Django, you may want to check out django_apscheduler. Note, however, that this is a third …

APScheduler User guide Integrating with application frameworks Version history Migrating from previous versions of APScheduler Contributing to APScheduler Extending APScheduler Frequently Asked …

class apscheduler.serializers.json.JSONSerializer(*, magic_key='_apscheduler_json', dump_options=NOTHING, load_options=NOTHING) Serializes objects using JSON.

apscheduler.schedulers.background class apscheduler.schedulers.background.BackgroundScheduler(gconfig={}, **options) Bases: …

apscheduler.job class apscheduler.job.Job(scheduler, id=None, **kwargs) Bases: object Contains the options given when scheduling callables and its current schedule and other state. This class should …

This is the most powerful of the built-in triggers in APScheduler. You can specify a variety of different expressions on each field, and when determining the next execution time, it finds the earliest …

class apscheduler.triggers.interval.IntervalTrigger(weeks=0, days=0, hours=0, minutes=0, seconds=0, start_date=None, end_date=None, timezone=None, jitter=None) Bases: BaseTrigger Triggers on …