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Description This script converts soft breaks to hard breaks in a Google Document using Google Apps Script.
Usage Follow these steps:
1. Create a New Google Document Create a new Google Document and open it. Go to “View” -> “Show non-printing characters” in the top menu to see line breaks in the document body (as shown in the image below).
2. Sample Script Copy and paste the following script into the script editor of your Google Document.
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Abstract This report addresses the challenge of appending values to specific columns in Google Sheets when columns have uneven last rows. It offers a Google Apps Script solution with a sample script and demonstration image, enabling efficient and flexible data manipulation.
Introduction Google Apps Script is a versatile tool that allows for seamless management of various Google Workspace applications, including Docs, Sheets, Slides, Forms, and APIs. Its ability to automate tasks within Google Sheets is particularly powerful.
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Abstract A new large language model (LLM) called Gemini with an API is now available, allowing developers to analyze vast amounts of data. This report explores trends in Google Apps Script by using the Gemini 1.5 API to analyze questions on Stack Overflow.
Introduction The release of the LLM model Gemini as an API on Vertex AI and Google AI Studio has opened a world of possibilities. Ref The Gemini API significantly expands the potential of various scripting languages, paving the way for diverse applications.
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Abstract The Gemini API allows the generating of text from uploaded files using Google Apps Script. It expands the potential of various scripting languages for diverse applications.
Introduction With the release of the LLM model Gemini as an API on Vertex AI and Google AI Studio, a world of possibilities has opened up. Ref The Gemini API significantly expands the potential of various scripting languages and paves the way for diverse applications.
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Abstract The Gemini API unlocks potential for diverse applications but requires consistent output formatting. This report proposes a method using question phrasing and API calls to craft a bespoke output, enabling seamless integration with user applications. Examples include data categorization and obtaining multiple response options.
Introduction With the release of the LLM model Gemini as an API on Vertex AI and Google AI Studio, a world of possibilities has opened up.