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 …

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 …

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 …

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

Advanced Python Scheduler Table of Contents User guide Integrating with application frameworks Version history Migrating from previous versions of APScheduler Contributing to …

Bases: object Abstract base class for all schedulers. Takes the following keyword arguments: Parameters: logger (str|logging.Logger) – logger to use for the scheduler’s logging (defaults to …

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 …

Extending APScheduler This document is meant to explain how to develop your custom triggers, job stores, executors and schedulers. Custom triggers The built-in triggers cover the needs of …