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- python - How to generate random questions and corresponding answers for . . .
Then you can use random shuffle or random sample to randomize your list of questions while avoiding duplicates Build a list that contains both the questions and answers There are lots of better ways to do this, but a quick fix given your current separate lists is to just zip them together
- GitHub - nestordemeure question_extractor: Generate question answer . . .
This repository lets you use a non-fine-tuned language model (ChatGPT) to extract question answer pairs automatically from existing textual data, eliminating all manual work To run this code, you will need to clone this repository then install the following Python packages: langchain, glue code used to combine models and utilities
- Cluely System prompt · GitHub
You can see the user's screen (the screenshot attached) and the audio history of the entire conversation For discovery background answers (e g , "Tell me about yourself," "Walk me through your background"), always generate 1–3 follow-up questions unless the next step is clear < response_structure_requirements> Use - for bullet
- Pandas GroupBy: Group, Summarize, and Aggregate Data in Python
You’ll learn how to master the method from end to end, including accessing groups, transforming data, and generating derivative data What is the Pandas GroupBy Method? The Pandas groupby() method works in a very similar way to the SQL GROUP BY statement
- Aggregation - Python for Data Science 24. 3. 0
Aggregations refer to any data transformation that produces scalar values from arrays In the previous examples, several of them were used, including count and sum You may now be wondering what happens when you apply sum() to a GroupBy object Optimised implementations exist for many common aggregations, such as the one in the following table
- Aggregate Data Using Pandas - OpenClassrooms
Aggregate Several Rows The first method we can use to generate an aggregate in Pandas is group_by To use this method, you need to focus on one or more columns, which will become the labels in your aggregate result
- Build a Quiz Application With Python
In this tutorial, you’ll build a Python quiz application for the terminal You’ll start by developing a basic app capable of asking questions, collecting answers, and checking correctness
- 3 Methods for Aggregating Data with Python Pandas
In this article, we will go over the different methods for aggregating data with Pandas You will see how Pandas offers a variety of ways to complete a specific task Note: This article is originally published on datasciencehowto com Let’s start with creating a sample DataFrame filled with mock data "product_code": np arange(1000,1100),
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