Advanced usage and skills of the "Schedule" library in Python

The 'Schedule' class library in Python is a powerful tool for timing task management.It allows developers to perform functions or tasks based on the scheduled timetable and provide many advanced usage and techniques to handle various timing task requirements.The following will introduce some advanced usage to use the "Schedule" class library, and attach related code and configuration description. 1. Installation and import First, use the PIP command to install the "Schedule" class library: pip install schedule Import library: python import schedule import time 2. timing execution function You can use the Schedule library to execute the function regularly.As shown below, by using the `schedule.every ()` function specified the time interval, and use the `schedule.run_pending () function to run the predetermined task in each cycle. python def job(): print("I'm running...") # Every 1 second execute the job function schedule.every(1).seconds.do(job) while True: schedule.run_pending() time.sleep(1) The above code will execute the `job ()` function every 1 second. 3. Specify a specific time execution task Use `schedlue.every (). Day.at ()` function can be specified to perform tasks at a specific time daily. python def job(): print("I'm running...") # 10:30 every day execute the job function schedule.every().day.at("10:30").do(job) while True: schedule.run_pending() time.sleep(1) The above code will be executed at 10:30 every day. 4. Perform the task regularly and set the end condition You can use the `Schedlue.every (). Minutes.until ()` function defines a timing task and sets up to stop running the task after a certain time. python def job(): print("I'm running...") # Execute the job function every 1 minute, at least 10 times schedule.every(1).minutes.until(datetime.now() + timedelta(minutes=10)).do(job) while True: schedule.run_pending() time.sleep(1) The above code will execute the `job ()` function every 1 minute, and execute at least 10 times. 5. Set the priority and delay execution of the task The priority of the task can be set through the `schedule.every (). Priority ()` function. The smaller the number, the higher the priority.You can also use the `schedule.every (). Seconds.do (). Tag ()` function setting delay execution, that is, wait for a period of time before executing. python def job(): print("I'm running...") # 1 task, delay for 5 seconds to execute schedule.every().seconds.do(job).tag('tag1').priority(1).tag('tag2').every(5).seconds while True: schedule.run_pending() time.sleep(1) The above code will create a priority task and perform it after 5 seconds. These are some of the advanced usage and techniques of the "Schedule" class library.You can flexibly adjust and configure your needs based on specific timing task requirements and business logic to meet your needs.I hope this article will help you understand and use the "Schedule" class library!