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Offer ends midnight PT September 27th. Only at manning.com.
When you're diving into modern AI, systems programming, or whatever else is on your plate, you always benefit from a 360-degree perspective. If you ask us, that means you need more books, liveVideos, and liveProjects! This week, choose any two or more books, liveProjects, or liveVideos and save 40% on your entire purchase! Only at manning.com.
Now in print! In the real world, most decisions involve uncertainty. Statistical analysis reduces uncertainty by interpreting data, from setting product demand forecasts to predicting customer behaviors. With this guide, you’ll build a strong foundation in statistical analysis by working through engaging mini projects that put each skill you learn into practice immediately. [Read more]
A guided tour to the new era of recommenders, powered by LLMs, agents, and context engineering. Author Kim Falk takes you from your first introduction to recommenders, to evaluation and production-ready systems. You'll explore established and cutting-edge frameworks and algorithms, as you learn how to customize and improve their outputs to fit your specific needs. [Read more]
4 chapters of this MEAP are available now, with more to follow soon!
Scientific simulations, graphics-intensive games, and, of course, AI models, all require the serious computing power delivered by GPUs (graphics processing units). Grokking Parallel Programming teaches you to write parallel GPU code from scratch using CUDA, NVIDIA’s platform for general-purpose GPU computing. Perfect for readers with no experience in parallel programming or CUDA, this book sets out a clear path with well-annotated code, helpful diagrams, and complete, easy-to-understand explanations! [Read more]
5 chapters of this MEAP are available now, with more to follow soon!
Trade-offs, constraints, and judgment that survive reality
What makes good software—really? Most of the time the judgment calls you make under delivery and operational pressure, usually with incomplete information, are far more important than your software stack or pattern choice. This book takes you past “microservices vs monolith” and “where should we draw boundaries” to the boots-on-the-ground realities of software architecture. [Read more]
4 chapters of this MEAP are available now, with more to follow soon!
Go from understanding the foundations of LLMs to mastering step-by-step reasoning! Start by building your own GPT-style LLM from the ground up, then enhance it with reasoning capabilities that break complex problems into reliable, multi-step solutions. Together, these books guide you through the full LLM journey—coding, training, fine-tuning, and reasoning—so you can truly understand and control the AI you create.
Master modern deep learning with Python using today’s most important tools and techniques. Learn the fundamentals of neural networks and scale up to generative AI, transformers, large language models, and diffusion models using Keras, TensorFlow, PyTorch, and JAX. Guided by framework creators and core contributors, you’ll build real models for vision, text, and time series, understand how and why they work, and gain the confidence to train, tune, and deploy deep learning systems for real-world applications.
This pair helps you combine technical skill with artistry, turning everyday coding into a practice of continuous improvement and mastery. Elevate your coding craft and sharpen your engineering instincts. Learn to write elegant, maintainable, and high-performance code while discovering 66 essential software engineering concepts that improve readability, testing, system design, and more.
These guides show how to evolve legacy software into domain-aligned, loosely coupled architectures and how to design microservices using proven patterns and pragmatic tradeoffs. You’ll learn how to connect business strategy to system design, decompose monoliths safely, structure services and teams for fast flow, and deliver resilient, scalable platforms.
Go low-level with confidence, as you learn to write fast, reliable, and maintainable systems code in Zig, then explore Rust to harness safety, concurrency, and high-performance computing. Go from building lightweight utilities and interpreters to tackling advanced networking, graphics, and parallel systems—arming you with the full toolkit for modern systems programming.
Take LLMs from single-agent tools to fully autonomous, collaborative systems! Start by learning how to design and deploy production-grade AI agents, then go deeper by building your own multi-agent infrastructure from scratch. These books give you the skills to create trustworthy, high-performing AI agents that coordinate, delegate, and tackle complex real-world tasks.
Get to the heart of JavaScript as you build blazing-fast, maintainable web apps with plain vanilla JS, then dive into the inner workings of the language to understand how engines, runtimes, and APIs really tick. This pair equips you with both practical coding chops and deep technical insight—so you can write smarter, faster, and more reliable JavaScript for any project.
Discover practical, real-world strategies for delivering better software, cultivating strong teams, and growing into an inspiring, high-impact engineering leader. You’ll learn how to run effective, compassionate code reviews that improve applications and strengthen team dynamics, including setting guidelines, automating quality checks, and leveraging AI.
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