The Supreme Court’s decision in the birthright citizenship case cannot be sugarcoated: It is a disaster.Illegal immigration drives many of the problems that afflict the nation — cultural decline, political brinkmanship, the rise of socialist and communist policies, social fragmentation, strained schools and hospitals, and damage to the jo ... Read more
As a technology professional, nothing gives you more options in your career than knowledge. We encourage you to build your skills to maximize your own independence! Starting today, you can SAVE HALF on all Manning books—including print—through midnight July 5.
Now in print! Build a Reasoning Model (From Scratch)
A reasoning model is an enhanced LLM that breaks complex problems into intermediate steps, producing more reliable answers on challenging tasks such as mathematics, logic, and code. To achieve this goal, a reasoning model combines model design with pre- and post-training techniques, including inference-time scaling, self-refinement, reinforcement learning, and distillation. As well, they take advantage of benchmark- and judge-based evaluation, answer extraction and normalization, mathematical-equivalence verification, and grading with verifiable outcomes to ensure that responses are accurate, not just whether they “sound right.”
In Build A Reasoning Model (From Scratch), author Sebastian Raschka guides you step-by-step to create your own reasoning model. Starting with a compact, pre-trained Qwen3 LLM, you’ll progressively implement reasoning improvements: chain-of-thought prompting, self-refinement loops, reinforcement learning with verifiable rewards, and distillation into efficient models. You’ll measure performance at each stage and understand exactly how modern reasoning models actually work. No specialist hardware required, as all code runs on accessible cloud GPUs or a standard laptop. [Read more]
The bestselling guide shows developers how to build agents they can ship, trust, and maintain. You’ll work through the core layers of an agentic system, including working with tools, reasoning, knowledge and memory, evaluation, and feedback patterns. Each chapter combines practical, real-world examples that cover reasoning frameworks, advanced RAG systems, and multi-agent collaboration patterns. Plus, you’ll find fresh coverage of the cutting-edge of agents. Explore MCP, containerized deployment, and voice agent orchestration. [Read more]
Discover the mathematics behind front-end design, showing you how to create efficient, precise, and visually appealing layouts using CSS and JavaScript. Every concept in this unique book is illustrated with hands-on examples so you can practice as you learn! You’ll explore the rules of precise color blending, learn the physics and geometry of UI effects, and master responsive, percentage-based resizing. As you go, you’ll also dig into advanced topics like accessibility, typography, and animation. [Read more]
You just built something amazing in Python and you’re ready to share it with the world! But does shipping it to the web mean…learning JavaScript? With the Streamlit framework, you can build interactive web apps entirely in Python incredibly fast. By providing a collection of pre-built UI components and streamlined configurations, Streamlit turns your ideas for data tools and AI workflows into usable applications without any tedious HTML, CSS, and JavaScript. [Read more]
Software security is a demanding discipline shaped by tradeoffs, shared responsibilities, and real operational impact. This book introduces the tools, standards, and implementation practices you need to secure applications in modern cloud and Kubernetes environments. You’ll learn techniques proven to help defend your systems, with hands-on experience with cryptography, certificates, TLS, and modern identity standards. [Read more]
This practical book shows you how to adapt pretrained open source models to your domain using transfer learning and parameter-efficient fine-tuning. You’ll learn to minimize cost through optimization and quantization, develop secure APIs to serve your models, and deploy SLMs on commodity hardware—including small devices. The hands-on examples include integrating SLMs into RAG systems and agentic workflows. [Read more]
The large language models (LLMs) that power cutting-edge AI tools like ChatGPT, Gemini, and Copilot are based on scientific principles—not magic! This book demystifies LLMs by showing you how to build your own from scratch. The process you’ll use to train and develop your own small-but-functional language model follows the same steps used to deliver huge-scale foundation models like GPT-4. [Read more]
Your hands-on guide to creating real, production-ready language model solutions. With LangChain and LangGraph, you’ll orchestrate powerful agentic workflows and build dynamic tool-based agents that can search, summarize, reason, and act. You’ll move from essential prompt engineering to advanced Retrieval Augmented Generation (RAG), and finally to deploying multi-agent systems using modern integration standards like the Model Context Protocol (MCP). [Read more]
Makes the concepts behind deep learning and generative AI understandable and approachable. This complete rewrite of the bestselling original includes fresh chapters on transformers, building your own GPT-like LLM, and generating images with diffusion models. Each chapter introduces practical projects and code examples that build your understanding of deep learning, layer by layer. [Read more]
The definitive guide to developing and deploying software with Kubernetes. Built on the bestselling first edition, this end-to-end revision provides up-to-date coverage on structuring Kubernetes-based applications and taking advantage of the Kubernetes API. You’ll also discover other key topics like configuration, attaching storage, scaling, and zero-downtime maintenance. [Read more]
Passing the CCNA is the perfect way to kickstart or advance your career in IT, networking, and systems administration. Inside this accessible guide, you’ll find the secrets to nailing even the most perplexing exam topics. You’ll build your fluency in networking chapter-by-chapter, until you have both the knowledge to take on the CCNA, and the skills to work effectively as an IT professional. [Read more]
Kubernetes is an amazing orchestration tool, but it’s just the start of your journey to the cloud. To efficiently deliver cloud-native software, your team needs a solid build pipeline, an efficient package manager and distribution mechanism, and APIs that reduce your team’s cognitive load. This book will show you how to build custom platforms on top of Kubernetes—all with open-source tools such as Dapr, Knative, Argo CD and Rollouts, and Tekton. [Read more]
For programs that need to be small, fast, and reliable, C is 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. [Read more]
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