Books

Modern Deep Learning models can be extremely large, often exceeding the memory capacity of a single GPU or CPU. In these cases, training must be distributed across multiple processors. This introduces the need for high-speed communication between GPUs—both within a single server and across multiple servers. Intra-node GPU communication typically relies on high-speed interconnects like NVLink, with Direct Memory Access operations enabling efficient data transfers between GPUs. Inter-node communication, however, depends on the backend network, either  InfiniBand or Ethernet-based. Synchronization of model parameters across GPUs places strict requirements on the network: high throughput, ultra-low latency, and zero packet loss. Achieving this in an Ethernet fabric is challenging but possible.   This is where datacenter networking meets Deep Learning. Understanding how GPUs communicate and what the network must deliver is essential for designing effective AI data center infrastructures.

The essentials of making predictions using supervised regression and classification for tabular data. Tech stack: python, pandas, scikit-learn, CatBoost, LightGBM, XGBoost, TabPFN, TabICL

You heard about the Manager's Path and about the Staff Engineers Path - let's look into the path for staff-level testing roles

In this book, unlike any you may have come across before, I will deliver funny, unfeigned & dead serious comic strips about every React update since v16+. It’ll be hilarious, easy on beginners as well as professionals, and will be very informative as a whole. From the new Lifecycle methods to Advanced Hooks Patterns in React, I've got you covered.

Bridge the gap between high-level C# and raw hardware execution. Eliminate GC pauses with zero-allocation Span<T> and SIMD vectorization. Learn to build blazing-fast tokenizers and local LLM inference engines. Stop waiting for the runtime—start engineering for extreme AI performance.

2025 edition! Brought to you by best-selling author and global training guru Nigel Poulton, Getting Started with Docker is the fastest way to wrap your head around Docker and AI. It's packed with hands-on examples, including a multi-container chatbot app that integrates with Docker Model Runner for local AI. When you've finished the book, you'll be ready to use Docker in real-world projects.

You don’t need more hours — you need better focus. This is your playbook for managing time like a thoughtful developer: with clarity, intention, and long-term impact in mind.

Top-k is not relevance, retrieved text is not evidence and an LLM judging another LLM is not verification. Beyond “Chunk and Pray” shows how to build RAG that answers through a verified knowledge graph, preserves exact numbers, cites its sources and abstains when it cannot prove the answer.

AI can generate code fast. The hard part is making that work reviewable, traceable, and reliable. Apractical field guide for developers building real software with AI coding agents—wrapping agent work in contracts, context structure, traceability, review gates, tests, and measurement so fast-generated code becomes maintainable software.

The Codex Playbook helps enterprise engineering teams turn Codex from a helpful assistant into a reliable part of the software delivery system, with practical patterns for context engineering, repositories, GitHub workflows, MCP, governance, and AI-assisted development.

Power rarely appears where decisions are made. It flows through beliefs, institutions, and agendas long before anyone argues or votes. The Architecture of Power reveals how influence moves through social structures, shaping who leads, who follows, and what feels inevitable. Once you can see it, change becomes possible.

Unlock the full potential of network programming with "Beyond Boundaries - Networking Programming with C# 12 and .NET 8"! This hands-on guide takes you from mastering the fundamentals to building advanced, scalable, and secure applications using cutting-edge .NET 8 and C# 12 features. Whether you're crafting APIs, real-time apps, or exploring the future of networking with QUIC, this book equips you with the skills to innovate and thrive in the ever-evolving world of software development.

Recent advancements in causal inference have made it possible to gain profound insight about our world and the complex systems which operate in it. Industry professionals and academics in every domain ask questions of their data, but traditional statistical methods often fall short of providing conclusive answers. This is where causality can help.

GitHub Actions Essentials is your definitive guide to mastering the world of GitHub Actions. From setting up your first workflow to exploring advanced techniques and best practices, this comprehensive resource covers everything you need to know to streamline your development process