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Python avanzado para sistemas backend y de inteligencia artificial

Python avanzado para sistemas backend y de inteligencia artificial
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Libro gratis

Una guía de Python de nivel superior para arquitectura backend, ingeniería de rendimiento, concurrencia, integración de IA, implementación y confiabilidad de producción.

Nivel: advancedIdioma: ES EspañolValoración: 0Reseñas: 0
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Book contents

01Chapter 1: Python Internals and Execution Model02Chapter 1: Python Internals Execution Model03Chapter 2: Advanced Data Structures Algorithms04Chapter 2: Advanced Data Structures and Algorithms05Chapter 3: Functional and Declarative Programming06Chapter 3: Functional Declarative Programming07Chapter 4: Metaprogramming and Reflection08Chapter 4: Metaprogramming Reflection09Chapter 5: Multithreading Vs Multiprocessing10Chapter 5: Multithreading vs Multiprocessing11Chapter 6: Async Programming Mastery12Chapter 6: Async Programming Mastery13Chapter 7: High Performance Python14Chapter 7: High-Performance Python15Chapter 8: Parallel And Distributed Computing16Chapter 8: Parallel and Distributed Computing17Chapter 9: Advanced API Design18Chapter 10: Framework Deep Dive19Chapter 11: Clean Architecture and DDD20Chapter 11: Clean Architecture Ddd21Chapter 12: Database Engineering22Chapter 13: Caching and Performance Layers23Chapter 13: Caching Performance Layers24Chapter 14: Backend Security25Chapter 15: Observability and Monitoring26Chapter 16: Testing at Scale27Chapter 17: ML Fundamentals for Backend Engineers28Chapter 18: Working with ML Libraries29Chapter 19: Serving ML Models in Production30Chapter 20: NLP and LLM Integration31Chapter 21: Vector Databases and Semantic Search32Chapter 22: Containerization and Deployment33Chapter 23: CI/CD Pipelines34Chapter 24: Scaling Systems35Chapter 25: Message Queues and Event-Driven Systems36Chapter 26: Designing High-Scale Systems37Chapter 27: Microservices and Distributed Systems38Chapter 28: Real-Time Systems39Chapter 29: AI-Native Backends40Chapter 30: Edge Computing with Python41Chapter 31: Future of Python in AI and Backend42Appendix E: Deeper Practice and Extra Examples

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