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Python: HTTP Clients and APIs

Learn how to make HTTP requests in Python using the requests library. This course will teach you to send and receive data, handle different response formats, manage authentication, and build resilient API clients.

Intermediate
1h 13m

Created by Mateo Prigl

Last Updated Oct 27, 2025

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  • Course

Python: HTTP Clients and APIs

Learn how to make HTTP requests in Python using the requests library. This course will teach you to send and receive data, handle different response formats, manage authentication, and build resilient API clients.

Intermediate
1h 13m

Created by Mateo Prigl

Last Updated Oct 27, 2025

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What you'll learn

Web applications and APIs rely on HTTP communication, and understanding how to work with them is a critical skill for modern developers.

In this course, Python: HTTP Clients and APIs, you’ll learn to build reliable API clients in Python.

First, you’ll explore how to make GET and POST requests to retrieve and send data.

Next, you’ll discover how to handle different response formats such as JSON, XML, and HTML.

Finally, you’ll learn how to manage sessions, authentication, and error handling for resilient applications.

When you’re finished with this course, you’ll have the skills and knowledge of Python’s requests library needed to interact effectively with web services.

Python: HTTP Clients and APIs
Intermediate
1h 13m
Table of contents

About the author
Mateo Prigl - Pluralsight course - Python: HTTP Clients and APIs
Mateo Prigl
24 courses 4.6 author rating 576 ratings

Mateo is currently a full stack web developer working for a company that has clients from Europe and North America. His niche in programming was mostly web oriented, while freelancing, working on small startups and companies that require his services. Go(lang), Elixir, Ruby and C are his favorite languages and also the ones he’s mostly working with other then PHP in day to day work. He has a big passion for learning and teaching what he knows the best. His big interests recently have been the fields of DevOps, Linux, functional programming and machine learning.

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