Python engineers guide data intensive par walters peter (5 résultats)
- Couverture souple
Vendeur : PBShop.store US, Wood Dale, IL, Etats-UnisPBShop.store US
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Neuf
EUR 30,22
Frais de port gratuitsExpédition nationale : Etats-UnisQuantité disponible : Plus de 20 disponibles
PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000.
- Couverture souple
Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-UniPBShop.store UK
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Neuf
EUR 26,07
EUR 5,86 expéditionExpédition depuis Royaume-Uni vers Etats-UnisQuantité disponible : Plus de 20 disponibles
PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000.
- Couverture souple
Vendeur : AHA-BUCH GmbH, Einbeck, AllemagneAHA-BUCH GmbH
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Neuf
EUR 37,00
EUR 63,65 expéditionExpédition depuis Allemagne vers Etats-UnisQuantité disponible : 2 disponible(s)
Taschenbuch. Etat : Neu. Neuware - The Python Engineer's Guide to Data-Intensive ApplicationsModern applications generate more data than ever before. Building systems that can process, store, and scale that data efficiently is one of the greatest challenges facing software engineers today. The Python Engineer's Guide to Data-Int…ensive Applications provides a practical roadmap for designing robust, high-performance systems capable of handling real-world workloads.Whether you're developing analytics platforms, cloud-native services, streaming pipelines, or distributed applications, this book bridges the gap between Python programming and large-scale system architecture. Complex concepts are explained in clear, approachable language, making advanced topics accessible without sacrificing technical depth.What Makes This Book Different Unlike theory-heavy references, this guide focuses on practical engineering principles and Python-based solutions used in modern production environments. It combines software architecture, distributed systems, databases, messaging systems, scalability patterns, and reliability techniques into one comprehensive resource designed specifically for developers.Inside This BookFoundations of data-intensive systems and scalability principlesData models, storage engines, and database architecturesReplication, partitioning, and fault tolerance strategiesDistributed systems concepts explained with practical examplesEvent-driven architectures and messaging systemsStream processing and batch processing frameworksDesigning reliable, maintainable, and observable applicationsPerformance optimization and scalability techniquesBuilding resilient cloud-native applications with PythonReal-world architectural patterns and best practicesWho Is This Book For - Python developers seeking to build large-scale applications- Backend engineers and software architects- Data engineers and analytics professionals- DevOps and cloud practitioners- Computer science students and technology enthusiasts- Anyone looking to understand how modern distributed systems workBuild Systems That Scale. Solve Problems That Matter.From databases and distributed computing to reliability and performance, The Python Engineer's Guide to Data-Intensive Applications equips you with the knowledge and practical insights needed to design systems that remain fast, scalable, and dependable as data grows.If you're ready to move beyond writing code and start engineering systems that power modern applications, this book belongs on your shelf.
- Couverture souple
- impression à la demande
Vendeur : California Books, Miami, FL, Etats-UnisCalifornia Books
Contacter le vendeurVendeur avec une évaluation de 4 étoilesEtat: Neuf
EUR 25,03
Frais de port gratuitsExpédition nationale : Etats-UnisQuantité disponible : Plus de 20 disponibles
Etat : New. Print on Demand.
- Couverture souple
- impression à la demande
Vendeur : CitiRetail, Stevenage, Royaume-UniCitiRetail
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Neuf
EUR 30,05
EUR 43,20 expéditionExpédition depuis Royaume-Uni vers Etats-UnisQuantité disponible : 1 disponible(s)
Paperback. Etat : new. Paperback. The Python Engineer's Guide to Data-Intensive ApplicationsModern applications generate more data than ever before. Building systems that can process, store, and scale that data efficiently is one of the greatest challenges facing software engineers today. The Python Engineer's Guide to Data-Inte…nsive Applications provides a practical roadmap for designing robust, high-performance systems capable of handling real-world workloads.Whether you're developing analytics platforms, cloud-native services, streaming pipelines, or distributed applications, this book bridges the gap between Python programming and large-scale system architecture. Complex concepts are explained in clear, approachable language, making advanced topics accessible without sacrificing technical depth.What Makes This Book Different?Unlike theory-heavy references, this guide focuses on practical engineering principles and Python-based solutions used in modern production environments. It combines software architecture, distributed systems, databases, messaging systems, scalability patterns, and reliability techniques into one comprehensive resource designed specifically for developers.Inside This BookFoundations of data-intensive systems and scalability principlesData models, storage engines, and database architecturesReplication, partitioning, and fault tolerance strategiesDistributed systems concepts explained with practical examplesEvent-driven architectures and messaging systemsStream processing and batch processing frameworksDesigning reliable, maintainable, and observable applicationsPerformance optimization and scalability techniquesBuilding resilient cloud-native applications with PythonReal-world architectural patterns and best practicesWho Is This Book For?Python developers seeking to build large-scale applicationsBackend engineers and software architectsData engineers and analytics professionalsDevOps and cloud practitionersComputer science students and technology enthusiastsAnyone looking to understand how modern distributed systems workBuild Systems That Scale. Solve Problems That Matter.From databases and distributed computing to reliability and performance, The Python Engineer's Guide to Data-Intensive Applications equips you with the knowledge and practical insights needed to design systems that remain fast, scalable, and dependable as data grows.If you're ready to move beyond writing code and start engineering systems that power modern applications, this book belongs on your shelf. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
