This post details the architecture and communication mechanisms of the Jupyter kernel, explaining its role as the computational engine for notebooks. It covers the decoupling of I/O from computation, the benefits of this model (multiple frontends/backends, isolation, performance), and the communication protocols (WebSockets, ZeroMQ) and sockets (shell, IOPub, stdin, control, heartbeat) used between the frontend and kernel. The post also provides a practical example of building a simple echo kernel to illustrate the underlying principles.
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