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Python Higher-Order Function Applications & Decorators: Complete Guide | NeuralAICodeCraft

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Python Higher-Order Function Applications & Decorators: Complete Guide | NeuralAICodeCraft

17 просмотров · 2 нед. назад
NeuralAICodeCraft
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17 просмотров · 2 нед. назад
🧠 *Python Higher-Order Function Applications & Decorators: Complete Guide | NeuralAICodeCraft* Master the two most powerful concepts in Python functional programming - higher-order function applications and decorators! 📌 *What you'll learn:* *HIGHER-ORDER FUNCTION APPLICATIONS* ▸ map() - Transform data ▸ filter() - Select data ▸ reduce() - Aggregate data ▸ sorted() - Sort with custom keys ▸ Building data pipelines *FUNCTION COMPOSITION* ▸ Compose functions ▸ Chaining operations ▸ Pipeline patterns *PYTHON DECORATORS* ▸ What is a decorator? ▸ Why use decorators? ▸ Creating your first decorator ▸ Decorator with arguments ▸ @wraps - Preserve metadata ▸ Multiple decorators *REAL-WORLD DECORATORS* ▸ Timer decorator ▸ Logger decorator ▸ Authentication decorator ▸ Cache/memoization decorator 📌 *Timestamps:* 0:00 - Introduction 1:30 - map() Applications 4:00 - filter() Applications 6:30 - reduce() Applications 9:00 - sorted() with custom keys 12:00 - What are Decorators? 14:30 - Creating Your First Decorator 17:00 - Decorators with Arguments 20:00 - @wraps - Metadata Preservation 22:00 - Real-World Decorators 26:00 - Practice Problems & Summary 💻 *Code from this video:* [GitHub link] 🎯 *Practice Challenge:* 1. Create a timer decorator 2. Create a logger decorator 3. Build a data pipeline using map, filter, reduce 🔔 *Subscribe for more Python tutorials:* @NeuralAICodeCraft #Python #Decorators #HigherOrderFunctions #map #filter #reduce #NeuralAICodeCraft