Step into 'Genesis Hope,' where IVF specialist Dr. Aditya Sharma crafts miracles under a sun-kissed amber glow and the scent of blooming jasmine. But in a world built on the mantra that "the future is created by optimists," how thin is the line between professional hope and the sterile reality of the laboratory?
From the spicy, dust-choked streets of Patna to the unpredictable carriages of Melbourne’s Frankston line, follow Komal Yadav’s wild trek across the globe. It’s a "strange brew" of spiritual shenanigans, earthly dramas, and a sharp-witted heroine navigating a world of orange-robed soul-savers and rough-and-tumble luck.
Ashwini Siddhi doesn't want a marriage; she wants a manifesto. Refusing to repeat her mother’s toil or her sister’s tragedy, she transforms India's marital laws into a high-stakes power play for a life of luxury and leisure. As her quest for a "chore-free" existence spills into courtrooms and onto social media, the line between female empowerment and cold-blooded extortion begins to blur.
Step into the endless grind with Arvind Singh in The Workplace Antagonists, a gripping "autopsy report" of modern corporate dysfunction. From absentee managers and 18-hour shifts to orchestrated abuse, follow his decade-long battle against exploitation, burnout, and petty office tyrants. Ultimately, it is an inspiring blueprint of how one man breaks the cycle of toxicity to reclaim his boundaries and redefine success on his own terms.
Your Python is elegant, expressive, and — let's be honest — slow where it counts. This book teaches you to rewrite the 3% that hurts in Rust, without rewriting the 97% that doesn't, by building a real log intelligence platform from first spark to production-ready package. If you've ever stared at a profiler's output and thought there has to be a faster way — there is, and you won't even need to give up pip install.
Satélites capturam enormes volumes de imagens todos os dias, mas transformar pixels em conhecimento requer IA. Este livro ensina você a construir, treinar e aplicar modelos de aprendizado profundo a imagens de satélite reais usando Python e ferramentas de código aberto, com 23 capítulos de código executável que você pode usar hoje mesmo. Todos os exemplos de código estão disponíveis gratuitamente em https://book.opengeoai.org.
Satelit menangkap volume citra yang sangat besar setiap hari, tetapi mengubah piksel menjadi wawasan memerlukan AI. Buku ini mengajarkan Anda untuk membangun, melatih, dan menerapkan model deep learning pada citra satelit nyata menggunakan Python dan alat open source, dengan 23 bab berisi kode yang dapat dijalankan sekarang juga. Semua contoh kode tersedia gratis di https://book.opengeoai.org.
Спутники ежедневно собирают огром ные объёмы изображений, но чтобы превратить пиксели в знания, требуется ИИ. Эта книга научит вас создавать, обучать и применять модели глубокого обучения к реальным спутниковым изображениям с использованием Python и инструментов с открытым исходным кодом. Она включает 23 главы с исполняемым кодом, который вы можете использовать уже сегодня. Все примеры кода доступны бесплатно на https://book.opengeoai.org.
위성은 매일 방대한 양의 이미지를 수집하지만, 픽셀을 통찰로 바꾸기 위해서는 AI가 필요합니다. 이 책은 Python과 오픈소스 도구를 사용하여 실제 위성 이미지에 딥러닝 모델을 구축, 학습, 적용하는 방법을 알려줍니다. 지금 바로 실행할 수 있는 코드로 구성된 23개의 장을 포함하고 있으며, 모든 코드 예제는 https://book.opengeoai.org 에서 무료로 제공됩니다.
衛星は毎日膨大な量の画像を取得していますが、ピクセルから洞察を得るにはAIが必要です。本書では、Pythonとオープンソースツールを用いて、実際の衛星画像に対してディープラーニングモデルを構築・学習・適用する方法を解説します。すぐに実行できるコードを含む23章で構成されており、すべてのコード例は https://book.opengeoai.org で無料公開されています。
I satelliti acquisiscono ogni giorno enormi volumi di immagini, ma trasformare i pixel in conoscenza richiede l’IA. Questo libro ti insegna a costruire, addestrare e applicare modelli di deep learning a immagini satellitari reali utilizzando Python e strumenti open source, con 23 capitoli di codice eseguibile che puoi utilizzare fin da subito. Tutti gli esempi di codice sono disponibili gratuitamente su https://book.opengeoai.org.
Practical PowerShell * Exchange Server Subscription Edition is an 800+ page book on learning to script and use PowerShell to manage your Exchange SE servers. Written by a Microsoft MVP, you will learn from real-world examples and 100% tested code. Purchase this book with confidence.
Most Lean transformations are paying a silence tax. People stay quiet -- some because it doesn't feel safe to speak up (fear), more because they tried before and nothing changed (futility) -- and the problems your A3s and huddles were built to surface never make it into the room. This book connects psychological safety directly to continuous improvement, and gets specific about what leaders do, starting this week, to make speaking up both safe and worthwhile. In-progress edition: Chapters 1 through 7 available now.
Your AI agent is only as smart as what it remembers. Most developers treat knowledge representation as an afterthought -- a data structure problem, not an architecture problem. They flatten complexity into schemas that can't express relationships, deploy embeddings without grounding, and build agents that degrade under their own reasoning load. This book changes that. **TypeDB for Edge AI Agents** is a practitioner's guide to building knowledge systems that actually work at the scale and complexity your agents demand. TypeDB is built on type theory -- the same mathematics that powers formal verification and programming language safety. For agents, that means you can express constraints that prevent bugs in your knowledge layer, reason about what's possible and what's forbidden, and build memory systems that don't require constant hallucination detection. With the Rust rewrite in TypeDB 3.0, your agents can carry sophisticated knowledge graphs on-device -- no round-trip to a server, no latency, no external dependencies. This book covers everything from the PERA data model and OWL ontologies to promise graphs for multi-agent coordination, giving you the patterns to design knowledge systems that scale without becoming incoherent. Whether you're an ML engineer, AI architect, or backend developer building production agent systems, this book bridges the gap between type theory and working code. You'll learn to design knowledge graphs that don't decay, structure agent memory that doesn't degrade over time, and coordinate multi-agent systems that respect causality and distributed constraints. Stop building agents that confidently hallucinate -- start building agents that reason correctly, remember reliably, and coordinate with certainty.