Gain insights into using Python to consume and create REST APIs, delving into HTTP methods like GET and PUT. Ideal for enhancing intermediate Python skills.

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REST is the most used mechanism to publish APIs for general consumption. Each language has its own set of libraries and methods that help a developer consume these APIs. This course will teach you how to use Python and its libraries for consuming and creating REST APIs in the easiest way possible.

In the first part of this course, you’ll learn how to work with Python in using REST APIs for various scenarios. Then, in the second part, you’ll focus on building your own REST APIs using the HTTP methods, including GET, PUT, etc.

This course is geared toward intermediate users who have a basic understanding of Python and want to improve their skills in using existing REST APIs and building their REST API implementations.

Python REST API Development: A Comprehensive Guide

Before we start creating a client to consume REST services, we need to select the Python library that we're going to use.

First of all, we need to define what we need the library to do. Then, after looking at the available Python libraries, we'll be able to select the best match for our requirements. So, let's first specify the selection criteria. 


# Our criteria

There are many libraries in every language that can be used to access a service, ranging from low-level  #key# TCP: Transmission Control Protocol #key# access-based libraries at one end to very high-level libraries at the other end that abstract out all the connection-related details. So, let’s define our requirements and conditions for choosing a library. What we need is a library with the following features:

1. It should abstract out the low-level connection details.
2. It should allow us to directly access/use the lower HTTP layers if required.
3. If point 2 isn't possible, then the library should at least let us configure the layers such as connection, session, and so on.
4. It should create a new connection pool or should be able to use an existing connection pool.
5. It should work seamlessly or with minimal configuration with marshaling and unmarshaling libraries.

Define our criteria for choosing a library, look at the popular Python libraries available, and make our choice. 

Introduction

Client

Server

Project: Tickets API

Conclusion

Choose an Appropriate Library

Our criteria