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  1. Books
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  3. Computer sciences

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Learning Google Apps Script

Customize and automate Google Applications using Apps Script

About This Book

Gain insight into customizing and automating Google applications with JavaScript

Create add-ons for Google Sheets, Docs, or Forms; automate your workflow; integrate with external APIs; and more.

A step-by-step guide to building real-world solutions

Who This Book Is For

Newbies to google apps script but having practical experience in Javascript.

What You Will Learn

Learn about the Google Apps script platform and work with scripts to develop Google apps

Create custom menus and dialogs

Parse and send emails

Generate Google calendar events

Build Translator and RSS reader applications

Develop interactive web pages

Design interactive web-forms

Form a workflow application

In Detail

Google Apps Script is a cloud-based scripting language based on JavaScript to customize and automate Google applications.

Apps Script makes it easy to create and publish add-ons in an online store for Google Sheets, Docs, and Forms.

It serves as one single platform to build, code, and ultimately share your App on the Web store.

This book begins by covering the basics of the Google application platform and goes on to empower you to automate most of the Google applications.

You will learn the concepts of creating a menu, sending mails, building interactive web pages, and implementing all these techniques to develop an interactive Web page as a form to submit sheets

You will be guided through all these tasks with plenty of screenshots and code snippets that will ensure your success in customizing and automating various Google applications

This guide is an invaluable tutorial for beginners who intend to develop the skills to automate and customize Google applications

Style and approach

An easy-to-follow yet comprehensive guide, filled with many code examples and screenshots illustrating various Google Apps scripts.


Author:

  • Ramalingam Ganapathy

Format:

  • E-book

Duration:

  • 270 pages

Language:

English

Categories:

  • Nonfiction
  • Computer sciences

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