Big Query requires a special package bigquery that allows us to connect to the database via an API using our credentials. We will be able to see things about any database we select and run queries against it using SQL to extract information. This is the most popular way of working with BigQuery datasets in Python, where we can subsequently able to do further analysis on it. This page shows how to get started with the Cloud Client Libraries for the BigQuery API. Read more about the client libraries for Cloud APIs, including the older Google APIs Client Libraries, in Client Libraries Explained. Step 1: Installing the BigQuery API Client Library First, we need to create a Google BigQuery account, then we need to install the library via Anaconda Prompt. pip install –upgrade google-cloud-bigquery Next, we must create a service account. Once we have done that and downloaded our API key we…