Fundamentos de concurrencia en Python (Paperback)
Seth Warner
Sold by CitiRetail, Stevenage, United Kingdom
AbeBooks Seller since 29 June 2022
New - Soft cover
Condition: New
Ships from United Kingdom to U.S.A.
Quantity: 1 available
Add to basketSold by CitiRetail, Stevenage, United Kingdom
AbeBooks Seller since 29 June 2022
Condition: New
Quantity: 1 available
Add to basketPaperback. Cansado del codigo Python que se arrastra cuando deberia volar?Tus scripts procesan una sola tarea a la vez, desperdician nucleos de CPU, se bloquean durante las llamadas de red o la E/S de archivos, y tardan una eternidad en procesar grandes conjuntos de datos, procesamiento de imagenes, simulaciones, extraccion de API o cargas de trabajo de aprendizaje automatico. El GIL se siente como un muro de ladrillos, los tutoriales en linea son demasiado superficiales, demasiado academicos o te dejan con ejemplos con errores, y te quedas atascado preguntandote como hacer que Python sea realmente rapido y escalable sin cambiar de lenguaje.Fundamentos de concurrencia en Python: Una guia practica para subprocesos, multiprocesamiento y programacion paralela es tu solucion clara y sin rodeos.Esta edicion de 2026 ofrece tecnicas modernas y listas para produccion para que puedas escribir codigo Python responsivo y de alto rendimiento que finalmente aproveche al maximo la potencia de tu hardware. Lo que dominaras y aplicaras de inmediato: Dominio de subprocesos: Acelera las tareas vinculadas a E/S de forma segura con subprocesos, bloqueos, RLock, semaforos, condiciones, colas y ThreadPoolExecutor, sin interbloqueos ni condiciones de carrera.Paralelismo real al limite: Evita el GIL con multiprocessing.Pool, Process, memoria compartida, Managers y concurrent.futures para dominar las tareas vinculadas a la CPU.Patrones paralelos potentes: Crea map/reduce, pipelines productor-consumidor, procesamiento fragmentado, colas de tareas y procesamiento de datos paralelo para obtener ganancias de velocidad masivas.Asyncio para Lightning I/O: Escribe codigo limpio async/await con corrutinas, tareas, recopilacion y bucles de eventos para gestionar miles de operaciones de red simultaneas.Seguridad y optimizacion de nivel profesional: Perfila el rendimiento, depura errores de concurrencia, evita problemas de GIL/memoria, elige el modelo de concurrencia adecuado y escribe codigo limpio y facil de mantener.Benchmarks reales, soluciones para la resolucion de problemas y proyectos completos (scraper paralelo, canalizacion de datos, simulador de CPU) te ofrecen mejoras de velocidad medibles desde el primer dia, sin sobrecarga de teoria.Deja de esperar. Empieza a escalar.Consigue hoy mismo Python Concurrency Essentials: A Practical Guide to Threading, Multiprocessing, and Parallel Programming y convierte a Python en una bestia del rendimiento! This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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¿Cansado del código Python que se arrastra cuando debería volar?
Tus scripts procesan una sola tarea a la vez, desperdician núcleos de CPU, se bloquean durante las llamadas de red o la E/S de archivos, y tardan una eternidad en procesar grandes conjuntos de datos, procesamiento de imágenes, simulaciones, extracción de API o cargas de trabajo de aprendizaje automático. El GIL se siente como un muro de ladrillos, los tutoriales en línea son demasiado superficiales, demasiado académicos o te dejan con ejemplos con errores, y te quedas atascado preguntándote cómo hacer que Python sea realmente rápido y escalable sin cambiar de lenguaje.
Fundamentos de concurrencia en Python: Una guía práctica para subprocesos, multiprocesamiento y programación paralela es tu solución clara y sin rodeos.
Esta edición de 2026 ofrece técnicas modernas y listas para producción para que puedas escribir código Python responsivo y de alto rendimiento que finalmente aproveche al máximo la potencia de tu hardware. Lo que dominarás y aplicarás de inmediato:
Dominio de subprocesos: Acelera las tareas vinculadas a E/S de forma segura con subprocesos, bloqueos, RLock, semáforos, condiciones, colas y ThreadPoolExecutor, sin interbloqueos ni condiciones de carrera.
Paralelismo real al límite: Evita el GIL con multiprocessing.Pool, Process, memoria compartida, Managers y concurrent.futures para dominar las tareas vinculadas a la CPU.
Patrones paralelos potentes: Crea map/reduce, pipelines productor-consumidor, procesamiento fragmentado, colas de tareas y procesamiento de datos paralelo para obtener ganancias de velocidad masivas.
Asyncio para Lightning I/O: Escribe código limpio async/await con corrutinas, tareas, recopilación y bucles de eventos para gestionar miles de operaciones de red simultáneas.
Seguridad y optimización de nivel profesional: Perfila el rendimiento, depura errores de concurrencia, evita problemas de GIL/memoria, elige el modelo de concurrencia adecuado y escribe código limpio y fácil de mantener.
Benchmarks reales, soluciones para la resolución de problemas y proyectos completos (scraper paralelo, canalización de datos, simulador de CPU) te ofrecen mejoras de velocidad medibles desde el primer día, sin sobrecarga de teoría.
Deja de esperar. Empieza a escalar.
¡Consigue hoy mismo Python Concurrency Essentials: A Practical Guide to Threading, Multiprocessing, and Parallel Programming y convierte a Python en una bestia del rendimiento!
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