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Fundamentos de concurrencia en Python (Large Print Edition)
Paperback
Publisher Price: $25.00
Publisher: Georgette Kelemaokalani
Published: Jan 23 2026
Pages: 160
Weight: 0.58
Height: 0.34 Width: 7.00 Depth: 9.19
Language: Spanish
Cansado del código Python que se arrastra cuando deberÃa 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 lÃnea 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 guÃa 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 lÃmite: 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 dÃa, sin sobrecarga de teorÃa.
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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