Released 3/2024
MP4 | Video: h264, 2560×1440 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 73 Lessons ( 4h 28m ) | Size: 1.73 GB
When Python was originally invented way back in 1989, it was a truly dynamic and typeless programming language. But that all changed in Python 3.5 when type “hints” were added to the language. Over time, amazing frameworks took that idea and ran with it. They build powerful and type safe(er) frameworks. Some of these include Pydantic, FastAPI, Beanie, SQLModel, and many many more. In this course, you’ll learn the ins-and-outs of Python typing in the language, explore some popular frameworks using types, and get some excellent advice and guidance for using types in your applications and libraries.
Source code and course GitHub repository
github.com/talkpython/rock-solid-python-with-type-hints-course
What’s this course about and how is it different?
This course dives deep into Python types. You will see many examples and graphics communicating the motivation for types and where they fit into the Python ecosystem. But you will also get very hands-on and learn all of these ideas with deep yet approachable code demos.
What topics are covered
In this course, you will
Compare popular static languages with Python (such as Swift, C#, TypeScript, and others)
See a exact clone of a dynamic Python codebase along side the typed version
Learn how and when to create typed variables
Understand Python’s strict nullability in its type system
Specify constant (unchangeable) variables and values
Reduce SQL injection attacks with LiteralString
Uses typing with Python functions and methods
Use typing with classes and class variables
Work with multiple numerical types with Python’s numerical type ladder
Use Pydantic to model and parse complex data in a type strict manner
Create an API with FastAPI that exchanges data with type integrity
Query databases with Pydantic using the Beanie ODM
Create CLI apps using type information to define the CLI interface
Leverage mypy for verifying the integrity of your entire codebase in CI/CD
Add runtime type safety to your application
Marry duck typing and static typing with Python’s new Protocol construct
Learn design patterns and guidance for using types in Python code
And lots more, see the full course outline.
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