Manning Publications – serie
406 kr
Skickas inom 7-10 vardagar
A friendly, fully-illustrated introduction to the most important computer programming algorithms.
The algorithms you'll use most often as a programmer have already been discovered, tested, and proven. This book will prepare you for those pesky algorithms questions in every programming job interview and help you apply them in your day-to-day work. And if you want to understand them without slogging through dense multipage proofs, this is the book for you.
In Grokking Algorithms, Second Edition you will discover:
Search, sort, and graph algorithms Data structures such as arrays, lists, hash tables, trees, and graphs NP complete and greedy algorithms Performance trade-offs between algorithms Exercises and code samples in every chapter Over 400 illustrations with detailed walkthroughsThe first edition of Grokking Algorithms proved to over 100,000 readers that learning algorithms doesn't have to be complicated or boring! This new edition now includes fresh coverage of trees, NP complete problems, and code updates to Python 3. With easy-to-read, friendly explanations, clever examples, and exercises to sharpen your skills as you learn, you’ll actually enjoy learning these important algorithms.
489 kr
Skickas inom 7-10 vardagar
585 kr
Skickas inom 7-10 vardagar
Almost 50 years ago, the C language defined modern computer programming. This book shows you why C is still as powerful and popular as ever, with an inside look at the new C23 standard.For programs that need to be small, fast, and unfailingly reliable, C is still the gold standard. Whether you're writing embedded code, low-level system routines, or high-performance applications, C is up to the challenge. This unique book by Jens Gustedt, a member of the ISO C standards committee, gets you up to speed with C23.In Modern C, Third Edition you'll:
Learn C basics, core features, and advanced concepts Leverage major C23 improvements for security, reliability, and performance Write portable code that runs anywhere Build multi-threaded applications with atomics and synchronization Create robust and resilient software with error handling Use type-generic programming for reusable codeC powers more software than any other language—from embedded devices to distributed systems. In Modern C, Third Edition you'll learn to harness C's full potential using the latest tools and techniques. After a quick review of the fundamentals perfect for beginners or coders who haven't used C in a while, this book guides you to mastery of C23, the latest ISO standard.
485 kr
Skickas inom 7-10 vardagar
Build professional-grade full-stack web applications using C# and ASP.NET Core.
ASP.NET Core in Action, 3rd edition by Microsoft MVP Andrew Lock, is a fully updated edition, ideal for intermediate C# developers, and teaches you how to use your C# and .NET skills to build amazing cross-platform web applications. This revised bestseller reveals the latest .NET patterns, including minimal APIs and minimal hosting. Even if you have never worked with ASP.NET, you will soon start creating productive cross-platform web apps.
Features include:
Build minimal APIs for serving JSON to client-side applications Create dynamic, server-side rendered applications using Razor Pages User authentication and authorisation Store data using Entity Framework Core Unit and integration tests for ASP.NET Core applications Write custom middleware and componentsAbout the technology
Developers love ASP.NET Core for its libraries and pre-built components that maximize productivity. This awesome web framework empowers you to build web applications using HTTP APIs, server-side rendered HTML, and long-running server processes - all by using the same familiar structure and components. Version 7.0 takes full advantage of new C# features, easy-to-build minimal APIs, and big performance upgrades.
423 kr
Skickas inom 7-10 vardagar
827 kr
Skickas inom 7-10 vardagar
Why wait to master deep learning when the tools are already within reach? As AI reshapes every industry, learning how to build models like GPT or generate stunning images is no longer a luxury—it is a necessity. Many developers struggle with fragmented tutorials or outdated libraries, leaving them unsure how to translate theory into practice. What if you could gain hands-on experience with the latest tools and techniques, backed by expert guidance, and build models that deliver real results from the start?
First-principles walkthroughs: Understand every layer, activation, and optimizer, so troubleshooting feels natural. Keras 3 showcase: Use the newest API features for faster, cleaner model pipelines. Multiframework primer: Compare TensorFlow, PyTorch, and JAX to pick the right tool every time. Generative AI chapters: Craft text with your own GPT-style model and create images using diffusion. Production guidance: Learn scaling, tuning, and deployment tips that move notebooks into real apps.Deep Learning with Python, Third Edition, by François Chollet and Matthew Watson, delivers an authoritative, code-first roadmap from the minds behind Keras.
Each chapter builds knowledge step by step, pairing intuitive explanations with color-coded listings you can run immediately. Expanded coverage tackles transformers, diffusion, and hardware-friendly workflows while retaining the approachable tone that made previous editions bestsellers.
By the final page you will confidently architect, train, and fine-tune state-of-the-art models, ready to solve vision, language, and forecasting problems in your own projects.
Ideal for developers with intermediate Python skills who crave practical, future-proof AI expertise.
465 kr
Skickas inom 7-10 vardagar
Master the demand forecasting skills you need to decide what resources to acquire, products to produce, and where and how to distribute them.
For demand planners, S&OP managers, supply chain leaders, and data scientists. Demand Forecasting Best Practices is a unique step-by-step guide, demonstrating forecasting tools, metrics, and models alongside stakeholder management techniques that work in a live business environment.
You will learn how to:
Lead a demand planning team to improve forecasting quality while reducing workload Properly define the objectives, granularity, and horizon of your demand planning process Use smart, value-weighted KPIs to track accuracy and bias Spot areas of your process where there is room for improvement Help planners and stakeholders (sales, marketing, finances) add value to your process Identify what kind of data you should be collecting, and how Utilise different types of statistical and machine learning modelsFollow author Nicolas Vandeput's original five-step framework for demand planning excellence and learn how to tailor it to your own company's needs. You will learn how to optimise demand planning for a more effective supply chain and will soon be delivering accurate predictions that drive major business value.
About the technology
Demand forecasting is vital for the success of any product supply chain. It allows companies to make better decisions about what resources to acquire, what products to produce, and where and how to distribute them. As an effective demand forecaster, you can help your organisation avoid overproduction, reduce waste, and optimise inventory levels for a real competitive advantage.
352 kr
Skickas inom 7-10 vardagar
476 kr
Skickas inom 7-10 vardagar
476 kr
Skickas inom 7-10 vardagar
Accelerate deep learning and other number-intensive tasks with JAX, Google’s awesome high-performance numerical computing library.In Deep Learning with JAX you will learn how to:
Use JAX for numerical calculations Build differentiable models with JAX primitives Run distributed and parallelized computations with JAX Use high-level neural network libraries such as Flax and Haiku Leverage libraries and modules from the JAX ecosystemThe JAX numerical computing library tackles the core performance challenges at the heart of deep learning and other scientific computing tasks. By combining Google’s Accelerated Linear Algebra platform (XLA) with a hyper-optimized version of NumPy and a variety of other high-performance features, JAX delivers a huge performance boost in low-level computations and transformations.Deep Learning with JAX is a hands-on guide to using JAX for deep learning and other mathematically-intensive applications. Google Developer Expert Grigory Sapunov steadily builds your understanding of JAX’s concepts. The engaging examples introduce the fundamental concepts on which JAX relies and then show you how to apply them to real-world tasks. You’ll learn how to use JAX’s ecosystem of high-level libraries and modules, and also how to combine TensorFlow and PyTorch with JAX for data loading and deployment.