Python logging is very useful.Using python logging, we can write errors to a file. But doing so requires us to come back to check the file from time to time to see if any errors occurred.
Python logging is very useful.
Using python logging, we can write errors to a file. But doing so requires us to come back to check the file from time to time to see if any errors occurred.
But this solution is not the best.
Here is how we can send the logs in the email. First, if you want to send from Gmail you have to generate the App password
import logging import logging.handlers ## Enable logging logging.basicConfig( format='%(asctime)s - %(name)s - %(levelname)s - %(message)s', level=logging.INFO, filename='log_application.log') logger = logging.getLogger(__name__) smtp_handler = logging.handlers.SMTPHandler(mailhost=('smtp.gmail.com', 587), fromaddr='email', toaddrs=['email'], subject='Error', credentials=('email','password_App'), secure=()) logger.addHandler(smtp_handler)
If you want you can send to multiple address:
In this way, you save errors in the log_application.log file, and every time an error is generated, it is sent by email.
In this tutorial, you’re going to learn a variety of Python tricks that you can use to write your Python code in a more readable and efficient way like a pro.
Today you're going to learn how to use Python programming in a way that can ultimately save a lot of space on your drive by removing all the duplicates. We gonna use Python OS remove( ) method to remove the duplicates on our drive. Well, that's simple you just call remove ( ) with a parameter of the name of the file you wanna remove done.
Email Extraction using Python with some filters. This article introduces concept of how to extract emails from given gmail by providing username and password.
In the programming world, Data types play an important role. Each Variable is stored in different data types and responsible for various functions. Python had two different objects, and They are mutable and immutable objects.
Magic Methods are the special methods which gives us the ability to access built in syntactical features such as ‘<’, ‘>’, ‘==’, ‘+’ etc.. You must have worked with such methods without knowing them to be as magic methods. Magic methods can be identified with their names which start with __ and ends with __ like __init__, __call__, __str__ etc. These methods are also called Dunder Methods, because of their name starting and ending with Double Underscore (Dunder).