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  1. Nitrous Performance Guide
    Installation, Tuning, and Safe Optimization for Maximum Power
    Mohammed Hamed Ahmed Soliman

    Unlock the hidden potential of your engine with nitrous oxide (NOS) systems, one of the most powerful and precise performance enhancers available. This volume provides a comprehensiveengineering-focused guide to safely installingtuning, and optimizing nitrous systems for maximum performance and reliability.

  2. From Prompt to Autonomous Agent is a practitioner’s guide to building AI systems that actually run in production – written for engineers who build things that need to work at 3am, six months after launch.The book teaches twelve levels of agentic AI architecture using a single, unbroken running example: a job failure in AWS Glue that requires a root cause diagnosis. This same system evolves over the fifteen chapters - from a single API call in Chapter 1 to a Society of Agents deliberating over a novel multi-factor failure in Chapter 12. You don’t just know what each pattern is by the end. You know what it is for, how much it costs, and what it gives you over the level below.Each chapter focuses on a single pattern: the Basic Responder, the Router, Tool Calling, Memory Augmentation, the Autonomous Agent, Reflective Self-Critique, Human in the Loop, Planning, Multi-Agent Coordination, Tool Building, Hierarchical Orchestration, and the Society of Agents. Each chapter has working code (one file, under 100 lines, no dependencies other than the Anthropic SDK) and a Failure Museum - a catalogue of real production failures with the signal, the cause, and the fix.The final section, Production and Craft, covers what most AI books entirely skip over, how to make agentic systems observable, how to protect them with cost guardrails, how to build fallback chains that degrade gracefully, and how to evaluate them with enough discipline that you know they're working before your users tell you they aren't.The book is for data engineers, backend engineers, and ML engineers who are done with demos and ready to ship. Requires Python fluency and engineering judgement. No prior knowledge of AI research, math or language models is assumed.The examples are in Python and use the Anthropic SDK because that’s where real systems live. They are based on real AWS infrastructure , EventBridge, Glue, Lambda, Bedrock, Snowflake, OpenSearch.The core principle runs through all the chapters: the right level is always the lowest level that can reliably handle your problem. This book will show you how to figure out what level that is.

  3. The Product Operating System
    Aligning Strategy, Teams, and Execution at Scale
    Chukwuemeka Jerome Nzegbuna

    Most product organizations don't fail for lack of ideas — they fail because nobody designed the system connecting strategy to execution. This practitioner's field manual shows product leaders how to align strategy, governance, discovery, and culture at scale, with real cases from Lagos to London to San Francisco.

  4. In Parramatta’s glowing community hall, love is not whispered in secret but roared under southern stars. When Indian-Australian couples turn their everyday battles—over barbecues, WiFi passwords, and parking spots—into high art, laughter, tears, and profound wisdom collide in a feast of cultural fusion.

  5. Machine Learning with Python
    From Scikit-Learn Fundamentals to Real-World Predictive Models
    Mohammad Belal Ansari

    Turn data into intelligent decisions. Discover how machine learning works and learn to build predictive models using Python and Scikit-Learn. From data preprocessing and visualization to classification, regression, clustering, and model evaluation, this practical guide helps you develop real-world machine learning skills.

  6. Deep Learning with Python
    From Neural Networks Fundamentals to Generative AI Applications
    Mohammad Belal Ansari

    Artificial Intelligence is reshaping the future. Are you ready to build it? Discover the complete journey from neural networks and deep learning fundamentals to generative AI, large language models, computer vision, and reinforcement learning—all with Python. Learn how to create intelligent systems, develop real-world projects, deploy production-ready models, and explore the technologies driving the next generation of innovation. Deep Learning with Python is your practical guide to mastering modern AI.

  7. How to be an AI driven QA Engineer
    Framework to double your salary
    ash

    Let’s be brutally honest - the tech industry in 2026 is a bloodbath. Open up LinkedIn or your news feed, and it’s a non-stop loop of layoffs, downsizings, and panic over AI stealing human jobs. If you are a QA engineer right now, it is completely normal to have a knot in your stomach.If your daily routine consists of mindlessly running manual regression test cases from dawn to dusk and updating endless Excel sheets — your clock is ticking. But for the smart ones? This chaos is the single greatest career leverage of your life.Many old-school tech gurus will comfort you by saying, "AI can never replace a manual QA’s human eye!" Believing that means living in a fool's paradise.Let's look at the cold, hard logic: when AI shrinks an automation engineer's workload to one-tenth of the time, those technically superior engineers aren't going to sit idle. They will aggressively pivot to manual exploratory testing too.Companies are actively hunting for "T-shaped" all-rounders — professionals who are blazing fast with automation, sharp as a tack with manual testing, and comfortable handling CI/CD pipelines.In this playbook, I am dropping the exact blueprint I designed for my "Manual Testing to AI-Powered QA Engineer" framework. This guide focuses on cutting out the fluff and maximizing efficiency. You will learn how to take your manual QA skills from zero to hyper-efficient using AI, allowing you to buy back your time and crush the competition. Core Features of This Playbook: Visual Workflows: Clean, intuitive diagrams to grasp complex testing workflows instantly.High-Impact Highlights: Bold takeaways designed for rapid referencing when you are on the job.Actionable Practice Sets: Real-world exercises at the end of each section to lock in your new superpowers.

  8. "This fourth volume of Reflections by Swami Purnananda is a deeply spiritual and healing book. Each thought and prayer offers the reader a chance to be immersed in stillness. The poems are effortlessly profound, prayerful and yet relatable. Each piece nourishes the seed of contemplation and gives the opportunity to let the mind explore the theme at a slow and gentle pace." Sister Stanislaus ''Stan'' Kennedy SCMC MSc

  9. "In the quiet moments of our lives, we often find ourselves searching for something deeper, something more profound than the everyday routines that occupy our days. It is in these moments of reflection, when we turn our thoughts inward, that we discover the timeless yearning for faith, peace, light, nature, truth, and the enduring quest for meaning. This volume of daily reflections and prayers is a treasury of words that strives to capture the essence of this profound journey." Adrian Cristea Executive Officer of the Dublin City Interfaith Forum

  10. This volume is the first of 4 volumes spanning the 365 days of the year. The offerings were generally written daily from ideas that came in the early mornings. They were written with a "let go" attitude of a recipient of divine grace that was sure to flow." Swami Purnananda

  11. "This volume is the second of 4 volumes spanning the 365 days of the year. The offerings were generally written daily from ideas that came in the early mornings. They were written with a "let go" attitude of a recipient of divine grace that was sure to flow." Swami Purnananda

  12. Python for Data Analysis
    From Basics to Real-World Projects with NumPy, Pandas, Visualization, SQL, and Machine Learning
    Mohammad Belal Ansari

    Unlock the power of data with Python. Learn how to clean, analyze, visualize, and model real-world data using NumPy, Pandas, SQL, and machine learning techniques.

  13. From Flood to Cause
    Grigorios Agathangelidis

    When something trips and two hundred alarms fire at once, which one is the cause? From Flood to Cause shows you how to build deterministic, grounded, auditable root-cause analysis where a causal engine decides and a language model only explains — never diagnoses, never guesses, and abstains the moment grounding is absent. Every concept is wired to a live, zero-install NEXUS-1 console in your browser, so you don't just read the architecture — you drive it.

  14. Before he was a global icon, he was a boy searching for home amid the sirens of Liverpool; before his silence in the late seventies, he was an artist drowning in the noise of his own myth. John Lennon: The Echo of an Icon is a monumental, 78,500-word psychological journey that strips away the leather jackets and the stadium lights to reveal the raw, unvarnished truth of a creative engine who shook the foundations of Western culture. Step past the caricature and experience the definitive story of a single human consciousness fighting to become whole.

  15. The Dark Universe: Dark Matter and Dark Energy (Volume 1)
    A Complete Guide to Dark Matter, Dark Energy, Cosmology, and the Future of the Universe
    Mohammad Belal Ansari

    The universe is hiding its biggest secrets. Only 5% of the cosmos is made of ordinary matter. The remaining 95% consists of mysterious dark matter and dark energy—unseen forces that shape galaxies, drive cosmic expansion, and determine the ultimate fate of the universe. Explore the science behind the invisible universe in this comprehensive and accessible guide.