Automating Real-World Tasks with Python Coursera

Overview

The course begins with an overview of how to use external Python modules to extend program capabilities, along with guidance on using documentation to learn new modules. For example, the Python Imaging Library (PIL) is used to create and modify images, with practical examples demonstrating common tasks while encouraging independent exploration of module documentation to solve specific problems.

It then introduces methods for communicating with external systems, including data serialization to convert in-memory objects into messages that can be exchanged with other programs. The course also covers sending messages across networks to Application Programming Interfaces (APIs), as well as techniques for sending email messages when interacting with users.

By the end of the Automating Real-World Tasks with Python course offered by Coursera in partnership with Google, learners are able to translate problem descriptions into functional solutions, similar to real-world job scenarios. The final capstone project involves developing a program based on a set of customer requirements.

What You Will Learn

• Use Python external libraries to create and modify documents, images, and messages

• Understand and use Application Programming Interfaces (APIs) to interact with web services

• Understand and use data serialization to send messages between running programs

• Build a solution using the skills you have learned