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Category: "Data Engineering"

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  1. The Guardian Algorithms: Applied Mathematics in Cyber Defense
    The Guardian Algorithms: Applied Mathematics in Cyber Defense
    The Mathematical Architecture of Modern Cybersecurity
    AhmedAdawy

    Behind every secure network lies an unbreakable mathematical truth. 'The Guardian Algorithms' bridges the gap between pure math and cutting-edge cyber defense. Step into the mind of a digital architect to decode the formulas that outsmart hackers, lock down infrastructure, and rewrite the rules of modern warfare. The future of security isn't coded—it is calculated.

  2. Behind the Black Box: Building Neural Networks From Scratch
    Behind the Black Box: Building Neural Networks From Scratch
    The Essential 5-Function Guide to Mastering AI Mathematics with Pure Python and NumPy. Stop copying code—become the architect.
    AhmedAdawy

    Unlock the secrets of artificial intelligence by mastering its core foundation. This practical guide teaches you how to design, code, and optimize neural networks from the ground up without relying on complex libraries. It is the ultimate resource for developers ready to truly understand the math and logic behind the code.

  3. Applied Statistics for Data Science
    Applied Statistics for Data Science
    from visual diagnostics to drift detection
    Gal Arav

    Today, AI and machine learning are driven by statistical thinking. As many leading experts emphasize, without a solid understanding of statistics, you cannot truly understand, evaluate, or safely use AI. This book gives you that edge.

  4. The BigQuery Optimization Playbook
    The BigQuery Optimization Playbook
    Patterns and Practices for Cost and Performance (2026 Edition)
    Nitin Gandhi

    What's inside:33 ranked optimization patterns from foundational table design through advanced governance. A complete partition and clustering playbook with six Tier 1 patterns.Shuffle reduction techniques built around five patterns that eliminate the most expensive operations. The On-Demand vs Reservations decision framework with diagnostic SQL.A full Guardrails Playbook 

  5. IT Help Desk Technician Workbook

    Master the technical and soft skills you need to succeed as an IT Help Desk expert — complete with lessons, practice, and real examples.

  6. Spark 4.0 from Scratch
    Spark 4.0 from Scratch
    Advanced Processing & Production Mastery
    Ritesh Modi

    Structured Streaming, MLlib, GraphFrames, performance tuning, testing and CI, and the lakehouse. Eleven chapters that take a competent PySpark user from "the job runs" to "the on-call team trusts the job.

  7. Spark 4.0 from Scratch
    Spark 4.0 from Scratch
    Foundations: From Your First DataFrame to Production-Ready Joins and Aggregations
    Ritesh Modi

    PySpark from page one. Ten chapters that take a Python user who knows pandas and turn them into someone who can write, read, and debug production PySpark, without a three-chapter detour through distributed-computing theory.

  8. Mathematical Modeling in Robotics   and Artificial Intelligenc    VOL-1

    The future of robotics lies in adaptability — machines that learn from their surroundings and optimize their actions dynamically. With advances in quantum computing, neural hardware, and real-time AI systems, the mathematical models explored in this book will form the foundation for the next generation of intelligent machines.From autonomous drones to AI-driven robotic surgeons, the applications are endless, and all of them depend on the same universal principles — mathematics and intelligence.This book will help its readers not only understand these principles but also innovate upon them.

  9. Enterprise Development with Raspberry Pi

    This book is written by a Raspberry Pi enthusiast, so, it could be hopefully interesting for other Raspberry Pi enthusiasts. Also, as it is about enterprise development, it can be eventually useful for any IT specialist dealing with enterprise applications and services.