An opinionated list of Python frameworks, libraries, tools, and resources
If you’ve been around data engineering long enough, you’ve probably heard these terms thrown around in meetings: “Just dump it in the data lake” “We’ll expose it through the warehouse” “That goes into the mart” “We’re moving to a lakehouse architecture” And honestly… it can sound like four different ways of saying the same thing. They’re not. Each one solves a slightly different problem in the dat
When you have 5 unrelated questions, should you pack them into one message to the LLM, or send 5 requests simultaneously? Which is faster? Splitting into multiple independent parallel requests is almost always faster. This isn't a gut feeling — it's determined by the underlying inference mechanism of LLMs. Let's walk through the reasoning from first principles. To understand this problem, you firs