Interesting Python features that I've come across in my career
Edward Li's blog post discusses 14 advanced Python features, including typing overloads, keyword-only arguments, future annotations, generics, and protocols, providing examples and resources to enhance programming skills.
Read original articlePython is a widely used programming language known for its simplicity, but it can also be misunderstood. Edward Li's blog post highlights 14 advanced Python features that can enhance programming skills. These features include typing overloads, which allow defining multiple signatures for a function, and keyword-only and positional-only arguments that help control how parameters are passed. Future annotations improve type hinting by postponing evaluation until needed, addressing issues with forward references. Generics, introduced in Python 3.12, offer a new syntax for type parameters, enhancing type safety and flexibility. Protocols enable duck typing, allowing functions to accept any object that implements a specific method, regardless of its actual type. Other features discussed include context managers, structural pattern matching, Python slots, advanced f-string formatting, caching with lru_cache, Python futures, proxy properties, and metaclasses. Each feature is accompanied by examples and additional resources for further exploration. This compilation serves as a valuable resource for developers looking to deepen their understanding of Python's capabilities.
- The blog outlines 14 advanced Python features to enhance programming skills.
- Key features include typing overloads, keyword-only arguments, and future annotations.
- Generics and protocols are highlighted for improving type safety and flexibility.
- Each feature is supported by examples and additional resources for further learning.
- The post aims to clarify and elevate the understanding of Python's advanced capabilities.
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