Context Manager in Python

visibility 116 access_time 4 months ago languageEnglish timeline Stats
timeline Stats
Page index 1.24

Context Manager

Managing resources is an important aspect while coding in Python. Without properly releasing the external resources such as files and connections, one might run into a memory leak issue.

And even there is a closing or disconnecting call at the end of the code, they may not be called when an error or an exception occurs.

In Python, one can use try-finally and with statements to prevent memory leaks. And with statement can provide a neat and reusable way of handling resources using context managers.


Both examples below open a textfile and once the work is done, the text file is closed to ensure unused memory is released through garbage collection.
When comparing these two statements, try-finally statement can get the job done on the go. However, the code can become verbose when similar operations are repeated like multiple database connections. Whereas, with statement can provide less verbose and sustainable solutions once the context manager is set up.


file = open('info.txt', 'w')


with open('info.txt', 'w') as file:

Building Context Manager

with statement uses context managers to perform opening and exiting actions. Many libraries and built-in functions support context management, such as open(). And one can create customised context managers too.

There are two ways to build context managers using class and function.

Class based Context Manager

To implement a context manager in a class, one needs to add __enter__ and __exit__ methods.

__enter__ method handles the opening process, and __exit__ method controls the closing process.

class DatabaseConnection(object):
    def __enter__(self):
        self.conn = db.connect('database.db')
        return self.conn
    def __exit__(self, type, value, traceback):

with DatabaseConnection() as db_conn:
    cur = db_conn.cursor()
    cur.execute('CREATE TABLE table_2 AS SELECT id, name FROM table_1')

In this code example, a class is defined with __enter__ and __exit__ methods. When the class is instantiated by the with statement, the __enter__ method is called and returns the database connection object to the target variable db_conn.

Once the code within the with statement executes successfully, the __exit__ method is triggered to close the connection. And the exception parameters, typevalue and traceback will become None.

On the other side, when there is an exception raised, the __exit__ method will still be called, and the exception parameters will be passed to the method. And this will be followed by an exception message in the output. Note that when True is returned in the __exit__ method, the exception will be suppressed.

Function based Context Manager

Context managers can also be built with a generator function and a contextlib.contextmanager decorator.

from contextlib import contextmanager

def hello_name(name):
        print('What is your name?')
        yield name
        print('Hello', name)
        print('Goodbye', name)
with hello_name('David') as my_name:

In this example, the decorator contextmanager is called with the generator function hello_name as an argument. This wrapped generator is passed to the target variable my_name when the with statement is triggered.

Looking at the generator, the code before yield will be executed when the with statement is executed. And the code after yield will only be executed when the with statement has successfully executed.

When an exception is raised, the code within the except statement will be triggered. And lastly, the code within the finally statement will run regardless of whether the with statement ran successfully or not.

info Last modified by Travis 4 months ago copyright The content on this page is licensed under CC-BY-SA-4.0.

Please log in or register to comment.

account_circle Log in person_add Register

Log in with external accounts

More from Kontext
Read and parse JSON in Python
visibility 113
thumb_up 0
access_time 8 months ago
Torchvision error: Could not find module image.pyd
visibility 2,822
thumb_up 3
access_time 5 months ago
Pandas DataFrame Plot - Bar Chart
visibility 9,119
thumb_up 0
access_time 2 years ago
Pandas DataFrame Plot - Bar Chart