IMAP Module -Its Need

 







  IMAP is an email retrieval protocol that stands for Internet Mail Access Protocol, and we will utilize this protocol through a Python program to have turn to data present in our mail. IMAP protocol was first proposed in 1986, and this module doesn't download the emails in our network for reacquiring data from them. IMAP module exactly reads the data carry in our emails and displays them in the program's output. This protocol is genuinely useful in the bias that are present in the low bandwidth condition. We've to use the IMAP module with the imaplib module of Python (which is a customer- side library) to get back data from our emails. 


 Needfulness of this Module 

 Python’s customer- side library called imaplib is applied for entering emails over the adverted IMAP protocol. It encapsulates a connection to an IMAP4 server and implements a big subset of the IMAP4rev1 customer protocol defined in RFC 2060. 


Key points 

 

 Some vital points of IMAP protocol that we've to remember and are authentically applicable for us while we're applying this protocol for getting back data from emails through it .

  • IMAP allows the customer schedule to exploit thee-mail communication on the server without downloading them on the local computer. 

  • Thee-mail is hold and conserved by the remote server. 

  • It enables us to grasp any action similar as downloading, cancel the mail without perusing the mail. It enables us to produce, manipulate and cancel remote dispatch flyers called mail boxes. 

  •  IMAP enables the users to explore thee-mails. 

  • It allows simultaneous turn to multiple mailboxes on many mail servers. 

 

 

 Conclusion 

We can apply the IMAP protocol to get back data from our emails without actually downloading them in our system. Here we learned about   IMAP ,  needfulness of this Module and key points. You can also learn python imap example in the blog here.



Comments

Popular posts from this blog

Tuples in Python

Career after B.Com or Bachelor of Commerce

Decision Tree : Where it Used ?