One of the first things Data Scientists learn as they run predictions is to avoid the use of loops. That’s because most ML libraries support vectorized inference, combining many inputs into a batch and more efficiently calculating the results. This specialized technique combines framework-level features with specialized hardware like GPUs, making... See more

In today's browsers, it is possible to run parallelized code with the help of so-called web workers. The event loop of an individual browser window is, however, still only handled by a single thread.

FastStream brokers provide convenient function decorators @broker.subscriber and @broker.publisher to allow you to delegate the actual process of:

• consuming and producing data to Event queues, and


• decoding and encoding JSON encoded messages

These decorators make it easy to specify the processing logic for your consumers and producers, allowing you to... See more

Currently, JavaScript engines are single-threaded , which means that they cannot execute code in parallel. As a result, it is a requirement in practice to use a non-blocking model for executing IO operations. Otherwise, the browser would "freeze" during, for instance, the fetching of data from a server.

Another consequence of this single-threaded... See more