J chaplin christopher (7 Ergebnisse)
- Softcover
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EUR 24,40
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PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
- Softcover
Anbieter: PBShop.store UK, Fairford, GLOS, Vereinigtes KönigreichPBShop.store UK
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PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
The Penguin New Writing #1, 2, 5, 6, 7, 8, 9, 10, 18, 22, 23, 25, 26, 31, 33, 40
Lehmann, John (Editor); George Orwell, Andre Chamson, Christopher Isherwood, V. S. Pritchett, Tchang T'ien-Yih, Rosamond Lehmann, Stephen Spender, Ignazio Silone, C. Day Lewis, W. H. Auden, Dylan Thomas, Sid Chaplin, Berthold Brecht, Jean Paul Sartre, Federico Garcia Lorca, Graham Greene, George Barker, Philip Toynbee, J. F. Powers, Angelos Sikelianos, Andre Gide, Louis Macneice, Edith Sitwell, Tennessee Williams, William Goyen, Luis Cernuda, Etc.
Sprache: Englisch
Verlag: Penguin Books 1940, 1941, 1943, 1944, 1945, 1947, 1948, 1950, Harmondsworth, 1940
- Softcover
- Erstausgabe
Anbieter: Arroyo Seco Books, Pasadena, Member IOBA, Pasadena, CA, USAArroyo Seco Books, Pasadena, Member IOBA
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Zustand: Gebraucht - Gut bis sehr gut
EUR 109,40
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Soft cover. Zustand: Near Fine. Zustand des Schutzumschlags: Near fine. 1st Edition. Sixteen Issues, First Printings. From The Library Of Ian Ballantine, Then The American Representative For Penguin Books, Prior To His Founding Of Ballantine Books. The Issues Contain A Mixture Of Original Items And Reprints From Earlier Publicat…ion. All Are Near Fine Or Fine, Unread, No Marks. American Issue Dust Jackets Present On #6, #7, #8, (With 25 Cent Prices On Front Flap, List Of "Recent American Releases" On Rear Flaps, Flight To Victory Ads On Rear Panels), All Near Fine Or Fine Except 23 Which Has A 1" Open Tear At Bottom Of Spine Panel, 31 Which Is Worn And Only Very Good, And 33 Which Has Slight Rubbing At Corners. A Few Issues With Ballantine's Tiny Handwritten Editorial Note "Anthol 436" At Upper Left Corner Of Front Cover, No Other Marks. Plates (illustrator).
- Softcover
- Print-on-Demand
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EUR 27,99
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Paperback. Zustand: new. Paperback. Does your application freeze under heavy load? Do your users complain about slow response times? Are you afraid of starting a new goroutine because you've heard horror stories about "data races" and "goroutine leaks"?If so, you're not alone. Concurrency is one of the most difficult topics in p…rogramming. In many languages, it's an "expert-only" feature, full of traps that can crash your entire application.But Go was built to change this. Go's core philosophy is: "Don't communicate by sharing memory; instead, share memory by communicating."This simple shift in thinking is the key to writing clean, safe, and efficient code. In this book, I'll guide you through that mental shift. I won't just show you what to type; I'll show you why you're typing it. We will move from a simple "Hello, Goroutine!" to building complex, fault-tolerant systems that can gracefully handle thousands of requests, all without fear.What's InsideThis book is packed with practical examples, code walkthroughs, and real-world patterns. You will learn: The Foundation: The critical difference between concurrency (managing tasks) and parallelism (doing tasks).Goroutines & WaitGroups: How to launch goroutines with the go keyword and how to correctly wait for them to finish using sync.WaitGroup.Channels: A deep dive into Go's "pipes." We'll cover buffered vs. unbuffered channels, directional channels, and how to use for range to process data streams.The select Statement: How to manage multiple channels at once, implement timeouts, and build responsive workers.Traditional Concurrency: When not to use a channel. You'll learn to use sync.Mutex and sync.RWMutex to protect shared state.The context Package: This is the most important tool for building reliable servers. You'll master cancellation, timeouts, and deadlines to prevent goroutine leaks forever.Production-Ready Patterns: We'll build a Worker Pool, a Rate Limiter, a Circuit Breaker, and use the powerful errgroup package to manage parallel tasks.Testing & Debugging: How to prove your code is safe with Go's "superpower," the Race Detector. You'll also learn to find leaks with pprof and measure your speed with benchmarks.Who It's Meant ForI wrote this book for you if: You are a Go developer who is comfortable with the language basics (structs, functions, interfaces) but feels "stuck" or "intimidated" when it comes to the go keyword.You are a backend engineer who needs to build high-performance APIs, microservices, or data pipelines that can handle high throughput.You are a developer from another language (like Python, Java, or C#) and find traditional multi-threading to be complex, difficult, and full of bugs.Stop guessing about concurrency. Stop worrying about data races and mysterious crashes. The ability to write safe, fast, and concurrent code is what separates a good Go programmer from a great one.This book provides the tools, the patterns, and the mental models you need to write concurrent code with confidence.Your journey to building truly professional, high-performance Go applications starts right here. Let's get started. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
- Softcover
- Print-on-Demand
Anbieter: Grand Eagle Retail, Bensenville, IL, USAGrand Eagle Retail
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EUR 30,44
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Paperback. Zustand: new. Paperback. You've built a great application. It's running perfectly on a single server.But then, success happens.Traffic spikes. Your server's CPU hits 100%. Users see timeouts and error messages. Your database connection pool is exhausted. You're getting paged at 3 AM. You've hit a wall. You realize you… can't just "scale up" by buying a bigger server anymore.The only answer is to "scale out" and run your application on many machines at once.But the moment you do, a dozen new, terrifying questions appear: How do services find each other if their IP addresses are always changing? How do you handle a "partial failure" where one server crashes but the others are fine? How do you keep your data correct when it lives in 10 different places?This book is the story of how you, as an engineer, solve these problems one by one.What's InsideI will guide you through a complete journey, starting from the foundations and building a production-ready service. You will learn: Master Concurrency: Go beyond a simple go keyword to master goroutines, channels, and the sync package. (Chapter 2)Build Communicating Services: Use gRPC and Protocol Buffers to create fast, type-safe APIs for your services. (Chapter 3)Solve the "Where Are You?" Problem: Implement automatic service discovery with tools like Consul so your services can find each other in a dynamic cloud. (Chapter 4)Build Unbreakable Software: This is the core. Implement the essential fault-tolerance patterns that all production systems use: Timeouts, Exponential Backoff Retries, and the all-powerful Circuit Breaker. (Chapter 5)Handle Massive Scale: Learn to "scale out" using load balancers, dramatically reduce database load with caching (like Redis), and partition your data with sharding. (Chapter 6)Manage Distributed Data: Understand the famous CAP Theorem (and why it's an "impossible choice") and learn the Saga Pattern to manage transactions that span multiple services. (Chapter 7)See Inside the Black Box: Finally, learn to observe your complete system with the "Three Pillars" Structured Logs, Prometheus Metrics, and Distributed Tracing. (Chapter 8)Who It's Meant ForI wrote this book for you if: You are a Go developer who feels comfortable with the language but wants to take the next step into building scalable, backend systems.You are a backend developer (using Python, Java, Node.js, etc.) who has heard about Go's power in this area and wants to learn how and why it's so effective.You are a junior- to mid-level engineer who has hit the limits of a single-server application and needs to understand the "next level" of system design.You are tired of your applications crashing under load and want to learn the patterns to build truly resilient software.Stop dreading your 3 AM alerts. Stop "hoping" your application doesn't crash.Failure is not an option-it is a guarantee. The only question is whether your system is prepared for it.This book gives you the tools and the confidence to design for failure. You will learn to build systems that are not just scalable but fault-tolerant and resilient. By the end of this book, you won't just be a Go developer; you'll be a Go systems engineer.Turn the page, and let's start building. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
- Softcover
- Print-on-Demand
Anbieter: CitiRetail, Stevenage, Vereinigtes KönigreichCitiRetail
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 28,44
EUR 43,51 VersandVersand von Vereinigtes Königreich nach USAAnzahl: 1 verfügbar
Paperback. Zustand: new. Paperback. Does your application freeze under heavy load? Do your users complain about slow response times? Are you afraid of starting a new goroutine because you've heard horror stories about "data races" and "goroutine leaks"?If so, you're not alone. Concurrency is one of the most difficult topics in p…rogramming. In many languages, it's an "expert-only" feature, full of traps that can crash your entire application.But Go was built to change this. Go's core philosophy is: "Don't communicate by sharing memory; instead, share memory by communicating."This simple shift in thinking is the key to writing clean, safe, and efficient code. In this book, I'll guide you through that mental shift. I won't just show you what to type; I'll show you why you're typing it. We will move from a simple "Hello, Goroutine!" to building complex, fault-tolerant systems that can gracefully handle thousands of requests, all without fear.What's InsideThis book is packed with practical examples, code walkthroughs, and real-world patterns. You will learn: The Foundation: The critical difference between concurrency (managing tasks) and parallelism (doing tasks).Goroutines & WaitGroups: How to launch goroutines with the go keyword and how to correctly wait for them to finish using sync.WaitGroup.Channels: A deep dive into Go's "pipes." We'll cover buffered vs. unbuffered channels, directional channels, and how to use for range to process data streams.The select Statement: How to manage multiple channels at once, implement timeouts, and build responsive workers.Traditional Concurrency: When not to use a channel. You'll learn to use sync.Mutex and sync.RWMutex to protect shared state.The context Package: This is the most important tool for building reliable servers. You'll master cancellation, timeouts, and deadlines to prevent goroutine leaks forever.Production-Ready Patterns: We'll build a Worker Pool, a Rate Limiter, a Circuit Breaker, and use the powerful errgroup package to manage parallel tasks.Testing & Debugging: How to prove your code is safe with Go's "superpower," the Race Detector. You'll also learn to find leaks with pprof and measure your speed with benchmarks.Who It's Meant ForI wrote this book for you if: You are a Go developer who is comfortable with the language basics (structs, functions, interfaces) but feels "stuck" or "intimidated" when it comes to the go keyword.You are a backend engineer who needs to build high-performance APIs, microservices, or data pipelines that can handle high throughput.You are a developer from another language (like Python, Java, or C#) and find traditional multi-threading to be complex, difficult, and full of bugs.Stop guessing about concurrency. Stop worrying about data races and mysterious crashes. The ability to write safe, fast, and concurrent code is what separates a good Go programmer from a great one.This book provides the tools, the patterns, and the mental models you need to write concurrent code with confidence.Your journey to building truly professional, high-performance Go applications starts right here. Let's get started. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
- Softcover
- Print-on-Demand
Anbieter: CitiRetail, Stevenage, Vereinigtes KönigreichCitiRetail
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 30,27
EUR 43,51 VersandVersand von Vereinigtes Königreich nach USAAnzahl: 1 verfügbar
Paperback. Zustand: new. Paperback. You've built a great application. It's running perfectly on a single server.But then, success happens.Traffic spikes. Your server's CPU hits 100%. Users see timeouts and error messages. Your database connection pool is exhausted. You're getting paged at 3 AM. You've hit a wall. You realize you… can't just "scale up" by buying a bigger server anymore.The only answer is to "scale out" and run your application on many machines at once.But the moment you do, a dozen new, terrifying questions appear: How do services find each other if their IP addresses are always changing? How do you handle a "partial failure" where one server crashes but the others are fine? How do you keep your data correct when it lives in 10 different places?This book is the story of how you, as an engineer, solve these problems one by one.What's InsideI will guide you through a complete journey, starting from the foundations and building a production-ready service. You will learn: Master Concurrency: Go beyond a simple go keyword to master goroutines, channels, and the sync package. (Chapter 2)Build Communicating Services: Use gRPC and Protocol Buffers to create fast, type-safe APIs for your services. (Chapter 3)Solve the "Where Are You?" Problem: Implement automatic service discovery with tools like Consul so your services can find each other in a dynamic cloud. (Chapter 4)Build Unbreakable Software: This is the core. Implement the essential fault-tolerance patterns that all production systems use: Timeouts, Exponential Backoff Retries, and the all-powerful Circuit Breaker. (Chapter 5)Handle Massive Scale: Learn to "scale out" using load balancers, dramatically reduce database load with caching (like Redis), and partition your data with sharding. (Chapter 6)Manage Distributed Data: Understand the famous CAP Theorem (and why it's an "impossible choice") and learn the Saga Pattern to manage transactions that span multiple services. (Chapter 7)See Inside the Black Box: Finally, learn to observe your complete system with the "Three Pillars" Structured Logs, Prometheus Metrics, and Distributed Tracing. (Chapter 8)Who It's Meant ForI wrote this book for you if: You are a Go developer who feels comfortable with the language but wants to take the next step into building scalable, backend systems.You are a backend developer (using Python, Java, Node.js, etc.) who has heard about Go's power in this area and wants to learn how and why it's so effective.You are a junior- to mid-level engineer who has hit the limits of a single-server application and needs to understand the "next level" of system design.You are tired of your applications crashing under load and want to learn the patterns to build truly resilient software.Stop dreading your 3 AM alerts. Stop "hoping" your application doesn't crash.Failure is not an option-it is a guarantee. The only question is whether your system is prepared for it.This book gives you the tools and the confidence to design for failure. You will learn to build systems that are not just scalable but fault-tolerant and resilient. By the end of this book, you won't just be a Go developer; you'll be a Go systems engineer.Turn the page, and let's start building. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
