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Category: "Software Engineering"

Books

  1. Elementary Dart and Flutter for Beginners

    Do you want to build a Mobile App from scratch? But you cannot master courage.Why?Because you have not coded before. You have No experience in programming.Right?It is perfectly OKAY. In fact, that sounds more challenging. There is ONLY one ANSWER TO YOUR DILEMMA.Learn Flutter. This book is designed for the non-coders. For absolute beginners.

  2. Leaving the Rat Race with Python
    Leaving the Rat Race with Python
    An Insider's Guide to Freelance Developing
    Finxter and Lukas Rieger

    Is There a Six-Figure Freelance Developer in You?Leaving the Rat Race with Python shows you how to nurture, grow, and harness your work-from-home coding business online --- and live the good life!It's an insider's guide to freelance developing. Start your new thriving coding business now!

  3. Beginning Flutter 3.0 with Dart
    Beginning Flutter 3.0 with Dart
    A Beginner to Pro. Learn how to build Advanced Flutter 3.0 Apps
    Sanjib Sinha

    Are you an absolute beginner with no prior knowledge to any programming language? But you want to be an Android or iOS mobile application developer? This book will teach you both. You will learn to build Advanced Flutter Apps, from scratch. You will also learn Dart programming language that runs Flutter.

  4. Discrete Mathematical Algorithm, and Data Structure
    Discrete Mathematical Algorithm, and Data Structure
    Major Components of Mathematics, and Computer Science Explained with the help of C, C++, PHP, Java, C#, Python, and Dart
    Sanjib Sinha

    Readers will learn discrete mathematical abstracts as well as its implementation in algorithm and data structures shown in various programming languages, such as C, C++, PHP, Java, C#, Python and Dart. This book combines two major components of Mathematics and Computer Science under one roof.

  5. Literate Configuration
    Literate Configuration
    Beautiful and functional configuration files using literate programming
    Diego Zamboni

    Learn how to produce beautiful, functional and easily-shareable configuration files using Emacs and org-mode

  6. The Legacy Code Programmer's Toolbox
    The Legacy Code Programmer's Toolbox
    Practical skills for software professionals working with legacy code
    Jonathan Boccara

    The Legacy Code Programmer's Toolbox will show you how to be effective, create value and have a fulfilling professional life while working with legacy code. If you're a software professional that has to deal with legacy code, this book is made for you.

  7. Construindo APIs testáveis com Node.js
    Construindo APIs testáveis com Node.js
    Fundamentos de qualidade de software para a construção de APIs com Node.js
    Waldemar Neto

    Construindo APIs testáveis com Node.js utiliza exemplos do dia a dia para a construção de aplicações Node.js seguindo as melhores práticas de qualidade e desenvolvimento; Um guia, tanto para desenvolvedores iniciantes quanto para experientes, para a construção de aplicações robustas e resilientes guiadas por testes.

  8. Refactoring to Patterns - An Experiment

    One of the most misunderstood XP techniques might be Refactoring. Many understand it in the meaning of re-write which is definitely not what it was meant to be. See how refractoring an example taken from a real world project both consits of very small sometimes even tiny changes and still introduces major archiectural reconstructions.

  9. PHP Brilliance
    PHP Brilliance
    Stepping up from Senior in the age of Agentic AI
    Thunder Raven-Stoker

    Advanced PHP coding mojo for enterprise application developers. Get yours going today and put yourself on the path to fewer bugs and better, more maintainable code.

  10. The Engineer’s Grok Bot Playbook
    The Engineer’s Grok Bot Playbook
    Build a personal AI team, improve engineering outcomes, and connect your work to a second brain
    Geison Goes

    Build a personal team of Grok Bot assistants and a second brain that preserves what you learn, without handing over your judgment or your security boundaries. This evidence-first playbook gives software engineers the roles, prompts, workflows, and metrics to test what actually improves their work.

  11. Engineering Reliable AI-Assisted Code
    Engineering Reliable AI-Assisted Code
    A Practical Framework for Learning, Ethical Governance, and AGI Preparation
    Phillip Nakata

    Go beyond a plausible patch: trace its impact, choose meaningful tests, and make the merge decision reviewable.

  12. Engineering Adaptive AI
    Engineering Adaptive AI
    A Practical Framework for Learning, Ethical Governance, and AGI Preparation
    Phillip Nakata

    Turn useful results into lessons your AI workflow can test, retain and apply again.

  13. Local AI on RTX Spark Laptops
    Local AI on RTX Spark Laptops
    A Hands-On WSL2 Laboratory for Inference, Training, and Deployment, CUDA Programming, GPU Diagnostics, Observability, and Debugging with Complete Exercise Transcripts
    Dmitry Vostokov

    A local model returns the expected answer. How do we know which layers ran on the GPU? In Local AI on RTX Spark Laptops, we investigate questions like this through 251 hands-on WSL2 exercises, following the evidence from model-loader logs down to individual CUDA kernels.

  14. Practical Graph Theory
    Practical Graph Theory
    The Algorithms Behind Modern Software
    Steve Publications

    Graphs are behind many of the problems software engineers face every day, from finding the shortest route to understanding complex networks. Practical Graph Theory shows you how to turn these problems into working solutions, with clear explanations, Python implementations and real-world examples that help you choose the right algorithm and understand why it works.

  15. AI Engineering Native Patterns
    AI Engineering Native Patterns
    Principles, Architectures and Production-Ready Implementations
    Steve Publications

    Building AI-powered software takes more than plugging into an LLM. This book explores the engineering principles and architectural patterns behind reliable, secure and scalable AI systems. Learn how to move from prototypes to production with practical techniques that stand the test of time, even as models and frameworks evolve.