Lets understand How to implement Scheduler in Python . Lets start from the use case example – You must have seen so many database which are updated everyday basis like stock , weather etc . Imagine how tedious task is to call the same script every day manually . Good news is we can implement scheduler service in few lines of code in python and we can save tons of time . The beauty of scheduler service in python is that you may call it from any OS . Actually it may be implemented as python script so you have numerous ways for deployment .
Implement Scheduler in Python : Step by step –
1.Install schedule package
pip install schedule

2. Create a job –
A job is nothing but the task you want to do through scheduler on a certain frequency. For this article we will create a function which will print some thing for us .
def call_me():
print("I am invoked")
3. Schedule the job-
schedule.every(30).seconds.do(call_me)
this will call the job at the frequency of 30 seconds . There are so many variation for frequency lets see one by one –
scheduling the job at some minutes interval –
schedule.every(10).minutes.do(call_me)
For scheduling every hour –
schedule.every().hour.do(call_me)
In case on a certain day at certain time-
schedule.every().tuesday.at("18:00").do(call_me)
4. Run the scheduler –
while True:
schedule.run_pending()
Complete code –
import schedule
def call_me():
print("I am invoked")
schedule.every(1).seconds.do(call_me)
while True:
schedule.run_pending()
Output –
As you see the implementation is done in a way that it will call call_me() function every second. This call_me function will print I am invoked every time . We are getting the same output –
I am invoked
I am invoked
I am invoked
I am invoked
I am invoked
I am invoked
I am invoked
I am invoked
I am invoked
I am invoked
There are several options and parameter which can make scheduler implementation more flexible . Please refer the Scheduler official documentation . Here you will the complete details for each function in the schedule package .
Use scheduler as a decorator –
As a developer when you have to run multiple jobs in schedule . You may define a decorator function which you may apply on any job at any time . This will save lot of time and code redundancy . Lets understand how –
Create a decorator function for scheduler –
def scheduler(fun):
def inner():
schedule.every(7).seconds.do(fun)
print("scheduled now")
return
return inner
Here fun is the function/job which is scheduled at every 7 seconds. Few more things here the function schedule will be attached with the function fun as a decorator symbol @. For example-
@schedule
def fun():
print("I am a job")
return
Please keep in the mind that the function name is schedule . This is not a python strict keyword .You may define your own keyword .
Alternative for Schedule package –
Obviously writing you own code is alternative for libraries . But there is no use of duplicate code still we do when we have license issue . If some one is charging for code or its commercial use . Anyways there are few more options for scheduler in python . For example – Advanced Python Scheduler .
You may check it out as well.
Data Science Learner Team
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