Overview
Python's schedule module is a lightweight Python library for performing certain operations at a specified time. It provides an easy way to arrange and manage the execution of Python code. The schedule module supports multiple schedulers and can schedule multiple tasks at the same time, making it easier to write and manage Python programs.
1. The main functions of schedule module
The main functions of the schedule module are as follows:
Supports timed execution of tasks, and can set the execution time, execution frequency and execution times of tasks.
Supports multiple schedulers and can schedule multiple tasks at the same time.
Supports cancellation and rescheduling of tasks.
Supports exception handling of tasks.
Supports parameter passing of tasks.
2. Detailed introduction to the use of schedule module
Below we will introduce in detail how to use the schedule module.
2.1. Install schedule module
Use the pip command to install the schedule module:
pip install schedule
After the installation is complete, we can start using the schedule module.
2.2. Use schedule module
First, we need to import the schedule module:
import schedule import time
Next, we can define a function to perform the task we want to perform:
def job():
print("I'm working...")
2.3. Set the execution time, execution frequency and execution times of the task
Then we can use the schedule module()Method to set the execution time, execution frequency and execution times of a task. For example, we can use the following code to set the task to be executed every 1 minute:
(1).(job)
We can also use the following code to set tasks to execute on the 10th and 40th minutes of each hour:
().(":10").do(job)
().(":40").do(job)
We can also use the following code to set the task to execute at 5 p.m. every day:
().("17:00").do(job)
We can also use the following code to set the task to execute on Mondays and Fridays of the week at 5pm:
().("17:00").do(job)
().("17:00").do(job)
We can also use the following code to set tasks to execute on the first and last day of each month:
().("00:00").do(job)
().("23:59").do(job)
Set the number of tasks executed
We can use the following code to set the number of executions of tasks:
(10).(job).tag('job1').tag('10min')
(1).(job).tag('job2').tag('1hour')
().("17:00").do(job).tag('job3').tag('5pm')
().("17:00").do(job).tag('job4').tag('monday')
().("00:00").do(job).tag('job5').tag('1st')
In the above code, we usedtag()Methods to add tags to each task, so that we can identify it when we cancel or reschedule the task later.
2.4. Cancel the task
We can use the following code to cancel the task:
('job1')
In the above code, we usedclear()Method to cancel the task labeled 'job1'.
2.5. Reschedule tasks
We can use the following code to reschedule the task:
(5).(job).tag('job1')
In the above code, we usedevery()Method to reset the execution frequency of the task.
2.6. Exception handling
We can use the try-except statement to handle exceptions of the task. For example, we can use the following code to handle exceptions of a task:
def job():
try:
# do something
except Exception as e:
print(e)
In the above code, we use the try-except statement to handle exceptions of the task and print out the exception information.
2.7. Parameter passing
We can use the following code to pass parameters to the task:
def job(name):
print("Hello, %s!" % name)
(1).(job, "Alice")
In the above code, we use the function parameters to pass parameters to the task.
3. Summary
The schedule module provides an easy way to schedule and manage the execution of Python code. It supports multiple schedulers and can schedule multiple tasks at the same time, making it easier to write and manage Python programs. We can use the schedule module to set the execution time, execution frequency and execution times of a task, as well as cancel the task, reschedule the task, handle the task exceptions and pass parameters to the task.
This is the article about the specific use of schedule extensions in Python. For more related Python schedule extension content, please search for my previous articles or continue browsing the related articles below. I hope everyone will support me in the future!