Learn the fundamentals of HTML, SVG, CSS and JavaScript for building data visualisations on the web. Ideal if you're wanting to learn D3.js or you use Python and/or R and wish to get started with HTML, SVG, CSS and JavaScript. Straight to the point with lots of code examples.
LTR102 takes the lead from LTR101 and dives a little deeper into the wider security topics, bringing an insight into defensive, offensive and collaborative security fields. It looks into the differences between the three and builds on the skillsets required, like LTR101 it will give you an overview and insight.
All of the basic topics to get you from zero to junior pentester level - covering off everything you need to know to start breaking into web application penetration testing industry or looking for flaws on bug bounties. (LTR101)
Eternal Spring: Our Guide to Mexico City is like a Rick Steves guidebook for Mexico City ... that in many ways is nothing like a Rick Steves guidebook for Mexico City
The complete engineer's playbook for taking LLMs from theory to production — written by a practitioner who has done it at scale for over 60 million users. This book guides you through the entire LLM lifecycle — architecture, training, fine-tuning, deployment, RAG, and AI agents — with battle-tested techniques drawn from real industrial systems. If you want to stop prototyping and start building LLM-powered products that hold up in the real world, this is the guide you need.
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.
Unlock the power of linear algebra in your data science projects! "Linear Algebra Essentials for Data Scientists" dives into the key concepts driving data analysis and machine learning. With clear explanations, practical Python examples, and hands-on exercises, this book is your gateway to mastering the mathematical foundations of data science.
A collection of over 100 Kotlin exercises.
What do programmers need to know that isn't about writing semicolons in a text editor? This book gives an overview based on the author's experiences in the field.

Master the art of AI interaction with 22 proven prompting techniques, real code examples, and production-tested strategies. From the creator of GitHub's most-starred prompt engineering repository (7,100+ stars).
Ditch slow, expensive AI APIs and bring the power of Large Language Models directly to your users' browsers. This guide teaches JavaScript and TypeScript developers how to build private, offline-capable, and blazing-fast AI applications. Master the local-first AI stack with Transformers.js, WebGPU, and Ollama to slash costs and own your data. Become a leader in the new era of serverless AI and deliver an instantaneous user experience
Unlock the power of Cyclical AI and move beyond linear chains with LangGraph.js. This deep-dive guide teaches TypeScript developers to build autonomous agents that can reason, loop, self-correct, and collaborate. Master the architecture of stateful, multi-agent systems, from advanced state management to production deployment. Stop building scripts and start engineering the intelligent, resilient systems of the future.
Men don’t choose hard lives because they’re broken.They choose them because difficulty gives shape, identity, and meaning in a world that often doesn’t.But when hardship stops being chosen and starts being inherited, strength quietly turns against the men who rely on it.The Weight We Carry is a calm, unflinching examination of why men endure, why rest feels dangerous, and how to carry less without becoming less.
The era of static web development is over—master the physics of Streaming and React Server Components (RSC) to stay ahead. Go beyond text generation and teach your AI to stream interactive, dynamic UI components directly to your users. This is your TypeScript-first blueprint for building latency-optimized, multimodal AI applications using the modern Next.js stack. Stop building chatbots; start building Generative UI.