Talk Python To Me - Python Conversations For Passionate Developers

#306 Scaling Python and Jupyter with ZeroMQ

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Synopsis

When we talk about scaling software threading and async get all the buzz. And while they are powerful, using asynchronous queues can often be much more effective. You might think this means creating a Celery server, maybe running RabbitMQ or Redis as well. What if you wanted this async ability and many more message exchange patterns like pub/sub. But you wanted to do zero of that server work? Then you should check out ZeroMQ. ZeroMQ is to queuing what Flask is to web apps. A powerful and simple framework for you to build just what you need. You're almost certain to learn some new networking patterns and capabilities in this episode with our guest Min Ragan-Kelley to discuss using ZeroMQ from Python as well as how ZeroMQ is central to the internals of Jupyter Notebooks. Links from the show Min on Twitter: @minrk Simula Lab: simula.no Talk Python Binder episode: talkpython.fm/256 The ZeroMQ Guide: zguide.zeromq.org Binder: mybinder.org IPython for parallel computing: ipyparallel.readthedocs.io Messag