Advanced Python for Backend and AI Systems

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Advanced Python for Backend and AI Systems

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A senior-level Python guide for backend architecture, performance engineering, concurrency, AI integration, deployment, and production reliability.

Level: advancedLanguage: EN EnglishRating: 0Reviews: 0

Technology Programming Books Computer Languages Web Development Books Backend Development AI and Machine Learning Python Books AI GAUAB Academy Architecture Ai Machine Learning Backend Development Python Python Books Systems Backend

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Book contents

01Chapter 1: Python Internals and Execution Model 02Chapter 1: Python Internals Execution Model 03Chapter 2: Advanced Data Structures Algorithms 04Chapter 2: Advanced Data Structures and Algorithms 05Chapter 3: Functional and Declarative Programming 06Chapter 3: Functional Declarative Programming 07Chapter 4: Metaprogramming and Reflection 08Chapter 4: Metaprogramming Reflection 09Chapter 5: Multithreading Vs Multiprocessing 10Chapter 5: Multithreading vs Multiprocessing 11Chapter 6: Async Programming Mastery 12Chapter 6: Async Programming Mastery 13Chapter 7: High Performance Python 14Chapter 7: High-Performance Python 15Chapter 8: Parallel And Distributed Computing 16Chapter 8: Parallel and Distributed Computing 17Chapter 9: Advanced API Design 18Chapter 10: Framework Deep Dive 19Chapter 11: Clean Architecture and DDD 20Chapter 11: Clean Architecture Ddd 21Chapter 12: Database Engineering 22Chapter 13: Caching and Performance Layers 23Chapter 13: Caching Performance Layers 24Chapter 14: Backend Security 25Chapter 15: Observability and Monitoring 26Chapter 16: Testing at Scale 27Chapter 17: ML Fundamentals for Backend Engineers 28Chapter 18: Working with ML Libraries 29Chapter 19: Serving ML Models in Production 30Chapter 20: NLP and LLM Integration 31Chapter 21: Vector Databases and Semantic Search 32Chapter 22: Containerization and Deployment 33Chapter 23: CI/CD Pipelines 34Chapter 24: Scaling Systems 35Chapter 25: Message Queues and Event-Driven Systems 36Chapter 26: Designing High-Scale Systems 37Chapter 27: Microservices and Distributed Systems 38Chapter 28: Real-Time Systems 39Chapter 29: AI-Native Backends 40Chapter 30: Edge Computing with Python 41Chapter 31: Future of Python in AI and Backend 42Appendix E: Deeper Practice and Extra Examples

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