error handling

Data Science: From School to Work, Part III

Introduction Writing code is about solving problems, but not every problem is predictable. In the true world, your software will encounter unexpected situations: missing files, invalid user inputs, network timeouts, and even hardware failures. For...

Asynchronous LLM API Calls in Python: A Comprehensive Guide

As developers and dta scientists, we regularly find ourselves needing to interact with these powerful models through APIs. Nonetheless, as our applications grow in complexity and scale, the necessity for efficient and performant API...

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