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Learn how to develop RAG question-answering systems with Python, featuring detailed practical examples, real-world use cases, and step-by-step implementation guidance
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TLDR; Pandas groupby agg has a new, easier syntax for specifying (1) aggregations on multiple columns, and (2) multiple aggregations on a column So, to do this for pandas >= 0 25, use Mean Sum 1 0 036901 0 369012 OR Mean Sum 1 0 036901 0 369012
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In real data science projects, you’ll be dealing with large amounts of data and trying things over and over, so for efficiency, we use Groupby concept Groupby concept is really important because of its ability to summarize,aggregate, and group data efficiently
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Things will be easier if you combine the question, possible answers, and correct answer into a class, then put instances of that class into a single list Then you can use random shuffle or random sample to randomize your list of questions while avoiding duplicates
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