Books

Learn graph databases the hands-on way — no servers, no setup, no fluff.Hands-On LadybugDB Cypher takes you from your first MATCH to complex recursive queries, shortest-path algorithms, and real-world AI agent graphs — all running locally in under a minute. 27 chapters. One evolving project. Every Cypher concept you need. Start querying graphs today.

Wave goodbye to slow exceptions and embrace clean, efficient error handling by encapsulating operations that may succeed or fail in a type-safe way.

Build TypeScript applications that are easier to reason about, safer to change, and simpler to test. Learn Effect v3 through practical examples that turn async chaos into composable, reliable code

✔ Market Structure Basics ✔ Liquidity explained in detail ✔ Order Blocks (OB) ✔ Fair Value Gaps (FVG) & Imbalances ✔ Smart Money Entry Techniques ✔ Time & Trading Sessions ✔ Risk Management & Trading Psychology ✔ SMC Backtesting & Journaling ✔ Forex, Crypto & Stocks ✔ Suitable for beginners and intermediate tradersAnd Much More!

✔ Suitable for beginners and intermediate traders✔ Latest Advanced Bullish & Bearish Patterns✔ Latest Basic Bullish & Bearish Patterns✔ Lifetime & Unlimited Access✔ Latest Harmonic Patterns✔ Forex, Crypto & Stocks

✔ Understanding Price Action✔ Reading Price Charts✔ Key Trading Concepts✔ Mastering Key Levels and Patterns✔ Advanced Techniques✔ Strategic Enhancements✔ Risk Management✔ Conclusion✔ Forex, Crypto & Stocks✔ Suitable for beginners and intermediate traders

✔ Market Fundamentals✔ Types of Day Trading Strategies✔ Tools & Indicators✔ Risk & Trade Management✔ Building a Trading Plan✔ Psychology of Day Trading✔ Common Mistakes to Avoid✔ Final Tips for Day Traders✔ Forex, Crypto & Stocks✔ Suitable for beginners and intermediate traders

✔ Latest Chart & Candlestick Patterns✔ Perfectly designed for Beginners✔ Lifetime & Unlimited Access✔ Forex, Crypto & Stocks✔ Digital Book 150+ PagesAnd Much More!

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.

Master biostatistics with this engaging and easy-to-follow guide, perfect for USMLE, PLAB, and research! Based on a top-rated YouTube course, it simplifies complex concepts with clarity and real-world examples. Download it for free and boost your stats skills today!

Features and changes from Java 21 to Java 25.

Embedded security is an architecture problem, not a checklist.This book shows how to build a coherent security design for real devices: what embedded cybersecurity means, why it’s different in embedded systems (constraints, lifecycle, physical access, limited patching), and how to turn that into practical design decisions. You’ll learn threat modeling and trust boundaries, then the core mechanisms that must work together: secure boot and root of trust, key management, secure communication, and robust firmware updates. Early access: updated regularly as new chapters and examples are added. Purchasers receive updates.

Discover how to build AI systems that don’t just react — they act. Agentic AI is your guide to designing autonomous, goal-driven systems that think, plan, and execute with purpose.