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Python with types: not as crazy as it might sound

Python's flexibility and ease of use have made it a favorite among developers for many applications. However, its dynamic typing system can sometimes lead to challenges in large-scale projects, where type errors may only surface at runtime. In this presentation, we'll dive into the world of type annotations and demonstrate how they empower developers to build robust and maintainable code. Discover the benefits of strong typing and gain practical insights into working with types, making your Python projects more reliable and easier to maintain.