Books

LTX 2.3 is a powerful AI video model, but great results depend on great prompts. This guide teaches you how to create consistent, cinematic videos with practical techniques, proven prompt patterns, and production-ready workflows.

Most Bash scripts start small but end up running critical systems. This book shows you how to write shell scripts that are portable, secure, and reliable across Linux distributions. From fundamental scripting techniques to production-ready patterns, you will learn how to build automation that handles errors gracefully, avoids common pitfalls and remains easy to maintain as it grows.

Unlock the full potential of Moonshot AI's groundbreaking Kimi K3 with practical prompting techniques, real-world examples and production-ready strategies. Whether you are building AI applications, conducting research or deploying autonomous agents, this guide helps you get better results from one of the world's most capable open models.

Two architectures. One choice: process a sequence step by step, or all at once. From that single decision flows almost every difference between RNNs and Transformers: how fast they train, how far they remember, and why parallelism won. A rigorous, diagram-rich comparison that derives the field instead of just surveying it.

What happens when an LLM agent can rewrite its own prompts, tools, memory, and code? This 336-page open-source textbook introduces Operational Morphology — bridging embodied cognition and self-evolving AI agents.

The Rust book written for Python developers. Every concept explained from your Python mental model — ownership through GC comparison, traits through protocols, concurrency through the GIL. Build a CLI tool that outperforms Python by 10-50x, then call it from Python with PyO3.

Beneath Australia’s brilliant blue skies, nine Desi women confront the grey hauntings of bureaucracy—not with swords, but with quiet grace and glowing screens. A fragrant, sensory symphony of heritage and renewal, where ancient lamps pierce modern shadows.

The system design book for the AI era. Five complete end-to-end designs (chat service, RAG, content moderation, coding assistant, multi-modal platform), a structured six-step framework, and chapters on cost optimization, reliability, and observability — all with realistic capacity estimates and production-grade code.

Build a complete data pipeline from scratch — no cloud signup needed. Fifteen chapters covering ingestion, loading, data modeling, dbt, Airflow, data quality, streaming, observability, and performance optimization. Everything runs locally with Python and DuckDB.

Stop using AI to "write a blog post" and start building systematic marketing workflows. Fourteen chapters covering content strategy, copywriting, social media, email sequences, SEO, paid ads, visual content, analytics, automation, brand voice, and ethics — each with a ready-to-deploy playbook artifact.

The practical AI guide written for teachers, not techies. Fourteen chapters covering lesson planning, grading, differentiation, content creation, special education, academic integrity, and classroom policy — each with ready-to-use templates and prompts. Build a complete AI teaching toolkit chapter by chapter.

"Tired of manual server setups that feel like reinventing the wheel every time?What if you could write down your server settings once—like a recipe—and let the computer do the rest? No more ‘oops, I forgot that checkbox.’ No more ‘Why is Server 7 acting weird?’Config as Code is the DevOps secret to consistency, speed, and sanity. And this book is your backstage pass."

Ein Coding-Agent liefert in Sekunden makellosen Code, mittendrin eine Funktion, die es nie gab: Halluzinations-Lasagne. Claude Shannons verrauschter Kanal von 1948 erklärt, warum plausible Ausgaben nicht verlässlich sind, und wie ein geschärfter Sender, ein beherrschter Kanal und ein prüfender Empfänger daraus verlässliche Software machen.