Top 7 Python Libraries for Networking Programming

Python was invented around 1990 by Guido van Rossum, when he was at CWI in Amsterdam. Despite the reptiles, it is named after the BBC comedy series Monty Python’s Flying Circus, of which Guido is a fan (see the following silly sidebar). Guido was also involved with the Amoeba distributed operating system and the ABC language. In fact, the original motivation for Python was to create an advanced scripting language for the Amoeba system.

But Python’s design turned out to be general enough to address a wide variety of domains. It’s now used by hundreds of thousands of engineers around the world, in increasingly diverse roles. Companies use Python today in commercial products, for tasks such as testing chips and boards, developing GUIs, searching the Web, animating movies, scripting games, serving up maps and email on the Internet, customizing C++ class libraries, and much more. In fact, because Python is a completely general-purpose language, its target domains are only limited by the scope of computers in general.

Also Read: 5 Best Python Libraries for working with HTTP

As the Internet has grown, so too has Python’s role as an Internet tool. Python has proven to be well-suited to Internet scripting for some of the very same reasons that make it ideal in other domains. Its modular design and rapid turnaround mix well with the intense demands of Internet development.

In previous article, we had also covered the best 7 python libraries for validating data and today we’ve listed out the top 7 Python Libraries which you can used for Network Programming:

1. Asyncio – (Python standard library) Asynchronous I/O, event loop, coroutines and tasks.

This module provides infrastructure for writing single-threaded concurrent code using coroutines, multiplexing I/O access over sockets and other resources, running network clients and servers, and other related primitives.

Enable the debug mode during development to detect common issues.

2. Diesel – Greenlet-based event I/O Framework for Python.

It provides a clean API for writing network clients and servers. TCP and UDP supported. It bundles battle-tested clients for HTTP, DNS, Redis, Riak and MongoDB. It makes writing network applications fun.

You just need the python-dev package as well as libffi-dev, or your platform’s equivalents to run this Diesel Library.

3. Pulsar – Event-driven concurrent framework for Python.

Pulsar’s goal is to provide an easy way to build scalable network programs. Pulsar uses the asyncio module from the standard python library and it can be configured to run in multi-processing mode.

The only dependency to use Pulsar is “multidict“.

4. Pyzmq – A Python wrapper for the ZeroMQ message library.

This package contains Python bindings for ØMQ. ØMQ is a lightweight and fast messaging implementation. PyZMQ should work with any reasonable version of Python (? 3.4), as well as Python 2.7 and 3.3, as well as PyPy. The Cython backend used by CPython supports libzmq ? 2.1.4 (including 3.2.x and 4.x), but the CFFI backend used by PyPy only supports libzmq ? 3.2.2 (including 4.x).

PyZMQ does not support the old libzmq 2 API on PyPy.

5. Twisted – An event-driven networking engine.

Twisted is an event-driven networking engine written in Python and licensed under the open source ?MIT license. Twisted runs on Python 2 and an ever growing subset also works with Python 3.

Twisted supports all major system event loops — select (all platforms), poll (most POSIX platforms), epoll (Linux), kqueue (FreeBSD, macOS), IOCP (Windows), and various GUI event loops (GTK+2/3, QT, wxWidgets). Third-party reactors can plug into Twisted, and provide support for additional event loops.

6. TxZMQ – Twisted based wrapper for the ZeroMQ message library.

TxZMQ allows to integrate easily ØMQ sockets into Twisted event loop (reactor). TxZMQ supports both CPython and PyPy and ØMQ library version 2.2.x or 3.2.x.

TxZMQ introduces support for general 0MQ sockets by class ZmqConnection that can do basic event loop integration, sending-receiving messages in non-blocking manner, scatter-gather for multipart messages.

7. NAPALM – Cross-vendor API to manipulate network devices.

NAPALM (Network Automation and Programmability Abstraction Layer with Multivendor support) is a Python library that implements a set of functions to interact with different router vendor devices using a unified API.

NAPALM supports several methods to connect to the devices, to manipulate configurations or to retrieve data.
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