hands-on lab

Working With Complex Rest APIs

Up to 1h
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.


The foundation of many applications involves Representational state transfer (REST) API which is a way of structuring an API so that, through the use of HTTP verbs, one can get data. This lab will dive into understanding GET, POST, DELETE, and PATCH services. Students will learn how to use Python to interact with an API to view, create, update, and delete data.

Learning Objectives

Upon completion of this lab you will be able to:

  • Understand Complex REST Verbs
  • Integrate using Python with RESTful services

Intended Audience

This lab is intended for:

  • Individuals starting out with interacting with REST APIs
  • Anyone interested in using Python to interact with RESTful services


You should possess:

  • A basic understanding of Python
  • A basic understanding of HTTP verbs (i.e. GET/POST/PUT)


February 24th, 2021 - Resolved an issue causing the API server to fail to start

January 19th, 2021 - Streamlined the lab by refactoring to a single lab step with the notebook IP displayed to avoid signing into GCP

About the author

Learning paths

Calculated Systems was founded by experts in Hadoop, Google Cloud and AWS. Calculated Systems enables code-free capture, mapping and transformation of data in the cloud based on Apache NiFi, an open source project originally developed within the NSA. Calculated Systems accelerates time to market for new innovations while maintaining data integrity.  With cloud automation tools, deep industry expertise, and experience productionalizing workloads development cycles are cut down to a fraction of their normal time. The ability to quickly develop large scale data ingestion and processing  decreases the risk companies face in long development cycles. Calculated Systems is one of the industry leaders in Big Data transformation and education of these complex technologies.

Covered topics

Lab steps

Starting the Lab's Jupyter Notebook in Google Cloud