Create a Translator Using Google Sheets API & Python

Spreadsheets are among the most popular office utilities in the world. Almost all professions use spreadsheets for a wide of ranger reasons, from tallying numbers and displaying them in graphs to doing unit conversions, just to mention a few.

Google Sheets is one of the more popular spreadsheet applications available today. Backed up by the Google platform, it has some nifty features that make it stand from its competitors.

In this tutorial,  you will learn how to use the power of Google Sheets API and Python to build a simple language translator.

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Postman REST API Client: Getting Started

REST technology is generally preferred to the more robust Simple Object Access Protocol (SOAP) technology because REST leverages less bandwidth, making it more suitable for internet usage.

REST APIs are all around us these days. Almost every major service provider on the internet  provides some kind of REST API. There are so many REST clients available that can be used to interact with these APIs and test requests before writing your code. Postman, is one of the world’s leading API Development Environment (ADE) with so many features baked in.

In this tutorial, you are going to learn how to use Postman to make API calls with and without authorization.

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Searching GitHub Using Python & GitHub API

GitHub is a web-based hosting service for version control using Git. It is mostly used for storing and sharing computer source code. It offers all of the distributed version control and source code management functionality of Git as well as adding its own features.

GitHub stores more than 3 million repositories with more than 1.7 million developers using it daily. With so much data, it can be quite daunting at first to find information one needs or do repetitive tasks, and that is when GitHub API comes handy.

In this tutorial, you are going to learn how to use GitHub API to search for repositories and files that much particular keywords(s) and retrieve their URLs using Python. You will learn also how to download files or a specific folder from a GitHub repository.

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Extracting YouTube Comments with YouTube API & Python

YouTube is the world’s largest video-sharing site with about 1.9 billion monthly active users. People use it to share info, teach, entertain, advertise and much more.

So YouTube has so much data that one can utilize to carry out research and analysis. For example, extracting YouTube video comments can be useful to run Sentiment Analysis and other Natural Language Processing tasks. YouTube API enables you to search for videos matching specific search criteria.

In this tutorial, you will learn how to extract comments from YouTube videos and store them in a CSV file using Python. It will cover setting up a project on Google console, enabling the necessary YouTube API and finally writing the script that interacts with the YouTube API.

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