Proxies for Python

Python Proxies are representations that provide a level of indirection for accessing a particular object. They can be used for a variety of purposes such as access control, lazy initialization, and location transparency. In Python, the Proxy design pattern is commonly used for creating these proxies. This pattern involves using a new proxy class that maintains a reference to an object, which controls the access to it. With Python proxies, you can control everything that happens when a client accesses a particular object, without the client even being aware that it’s dealing with a proxy.

What is a Python proxy?

In the context of Python, a proxy can refer to a special class that provides a level of indirection to access features. It is an object that works as an interface or a placeholder for another object. Most often, a proxy will offer the same public methods as the object it represents. Proxy objects in Python are used for various purposes, like managing object accesses (lazy evaluation, monitoring), remote object accesses, or simplifying interface between different parts of a program.

How can I use a proxy in Python?

In Python, you can use a proxy by creating a proxy class that takes an instance of the actual object as a parameter. In this proxy class, you can define methods that are available in the actual object. When you call a method on the proxy object, it translates that into calls on the actual object.

What is a Python requests proxy?

A Python requests proxy is a feature you can use when you are making a network request using the requests library. If you need to go through an intermediary (a proxy server) before reaching the final server, you can set up this by passing the `proxies` argument in your request method in Python. The `proxies` argument should be a dictionary mapping the scheme to the URL of the proxy.