Effective Serialization with Python | LinkedIn


Effective Serialization with Python | LinkedIn
English | Size: 198.94 MB
Genre: eLearning

When you’re making calls between different services, you can use serialization to move data around in a predictable manner for easy encoding and decoding. In this course, instructor Miki Tebeka takes a deep dive into the subject of serialization with Python, exploring key serialization formats, how to work with each format, and how to pick the right one for your Python project. He covers Python-specific serialization formats such as marshal and pickle; how to serialize and deserialize using JSON; how to encode and decode messages and serialize using protocol buffers; how to use msgpack; and more. Along the way, he shares challenges that allow you to put your new knowledge to the test.

This course is integrated with GitHub Codespaces, an instant cloud developer environment that offers all the functionality of your favorite IDE without the need for any local machine setup. With GitHub Codespaces, you can get hands-on practice from any machine, at any time—all while using a tool that you’ll likely encounter in the workplace. Check out the “Using GitHub Codespaces with this course” video to learn how to get started.

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