https://github.com/talkpython/rock-solid-python-with-type-hints-course

Rock Solid Python with Type Hints Course Student Materials
https://github.com/talkpython/rock-solid-python-with-type-hints-course

beanie best-practices course design-patterns fastapi pydantic python static-typing tutorial type-hints

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Rock Solid Python with Type Hints Course Student Materials

• Host: GitHub
• URL: https://github.com/talkpython/rock-solid-python-with-type-hints-course
• Owner: talkpython
• License: mit
• Created: 2023-08-03T20:05:37.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2024-07-08T19:51:00.000Z (over 1 year ago)
• Last Synced: 2024-07-09T00:40:43.320Z (over 1 year ago)
• Topics: beanie, best-practices, course, design-patterns, fastapi, pydantic, python, static-typing, tutorial, type-hints
• Language: Python
• Homepage: https://training.talkpython.fm/courses/python-type-hint-course-with-hands-on-examples
• Size: 433 KB
• Stars: 15
• Watchers: 1
• Forks: 8
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Rock Solid Python with Type Hints Course

[![](course_image/type-hints.webp)](https://training.talkpython.fm/courses/python-type-hint-course-with-hands-on-examples)

## Course summary

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.

## 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](https://training.talkpython.fm/courses/python-type-hint-course-with-hands-on-examples#course_outline).

## Learn more

Visit [the course page at Talk Python](https://training.talkpython.fm/courses/python-type-hint-course-with-hands-on-examples) to learn more and take the course!