Python is often marketed as a batteries-included language because it comes with almost everything you’d ever expect from a programming language. This statement is mostly true, as the standard library and the external modules cover a broad spectrum of programming needs. However, Python lacks built-in support for the YAML data format, commonly used for configuration and serialization.
In this video course, you’ll learn how to work with YAML in Python using the available third-party libraries, with a focus on PyYAML. If you’re new to YAML or haven’t used it in a while, then you’ll have a chance to take a quick crash course before diving deeper into the topic.
In this video course, you’ll learn how to:
- Read and write YAML documents in Python
- Serialize Python’s built-in and custom data types to YAML
- Safely read YAML documents from untrusted sources
Notably, you’ll learn about YAML’s advanced, potentially dangerous features and how to protect yourself from them.
