Skip to content
hands-on lab

Acquiring and Storing Data in Python

Difficulty: Beginner
Duration: Up to 1 hour
Students: 1,979
Rating: 3.6/5
Start lab
On average, students complete this lab in20m
Get guided in a real environmentPractice with a step-by-step scenario in a real, provisioned environment.
Learn and validateUse validations to check your solutions every step of the way.
See resultsTrack your knowledge and monitor your progress.
About
Author

Description

Utilizing APIs to query and store data is the heart of most web applications. This lab is aimed at students, with a moderate understanding of Python, who want to understand how to query an API, manipulate the data and store that data into a database with a more advanced schema. This lab demonstrates the advanced processing of JSON data into multiple tables, highlighting the capabilities of Python for efficient data processing.

Learning Objectives

Upon completion of this lab, you will be able to:

  • Learn and Understand Querying an API
  • Learn how to process complex JSON data
  • Learn how to store those results in a database

Intended Audience

This lab is intended for:

  • Individuals starting out with a database
  • Anyone interested in using Python to store data in a MySQL RDS Database

Prerequisites

You should possess:

  • A moderate understanding of Python
  • A basic understanding of Amazon RDS

Updates

May 2nd, 2025 - Addressed fatal environment error

April 15th, 2025 - Updated RDS MySQL minor version and screenshots to reflect the latest UI

April 29th, 2024 - Resolved deployment issue

March 21st, 2024 - Resolved deployment issue

October 31, 2023 - Updated the sample JSON API and resolved a data issue related to book catalog themes

March 3rd, 2023 - Resolved environment error

January 16th, 2023 - Updated instructions to reflect Jupyter changes

Covered topics

Development
Python
Hands-on Lab UUID

Lab steps

0 of 2 steps completed.Use arrow keys to navigate between steps. Press Enter to go to a step if available.
  1. Logging In to the Amazon Web Services Console
  2. Opening the Lab's Jupyter Notebook

Lab Rules