Abstract: Automatically parsing SQL queries from natural languages can help non-professionals access databases and improve the efficiency of information utilization. It is a long-term research issue ...
In this tutorial, we’ll learn how to harness the power of Google’s Gemini models alongside the flexibility of Pandas. We will perform both straightforward and sophisticated data analyses on the ...
In this tutorial, we demonstrate the integration of Python’s robust data manipulation library Pandas with Google Cloud’s advanced generative capabilities through the google.generativeai package and ...
Abstract: This study aims to analyze trending topic data on Twitter using Python and SQL filters to understand which users trigger and have the most influence on the formation of trending topics.
The bears, Shuangshuang, Chongchong, Xixi, and Qingqing, took their seats around the wooden table, peeling and munching on fresh bamboo shoots as part of a Mid-Autumn Festival celebration, in a scene ...
AI has transformed the way companies work and interact with data. A few years ago, teams had to write SQL queries and code to extract useful information from large swathes of data. Today, all they ...
table = catalog.load_table("default.sample_table") scan = table.scan() # for pyarrow patable = scan.to_arrow() # result shows ## pyarrow.Table ## date: date32[day ...
We’re thrilled to announce that you can now connect with SharePoint lists and SQL tables directly within Data workspace in Power Pages! Makers can create virtual tables to connect to existing data ...
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