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  1. Learn to Think Like a Senior Engineer — by Building a Card Game EngineA hands-on guide to system design, clean architecture, and engineering judgment. No fluff. Just practical, test-driven code you’ll actually use.

  2. The Most Useless Book
    Read At Your Own Risk. Possible Side-Effect: Actual Life Changes.
    Dmitri Sarle

    If you read the title and you are still curious to read a little more about this book, you are someone I would love to have a dialogue with. This book is a paradoxical, playful, and at times humorous exploration of meaning - created as a form of art. There is no guarantee that this book will help you with anything, but it might.

  3. Conscious Attention
    Rakhim Davletkaliyev

    This book will not teach you anything you did not know, but may remind you of the things you have forgotten.

  4. In the rapidly evolving technology landscape, the ability to deploy scalable, secure, and efficient applications is paramount for businesses striving to maintain a competitive edge. Multi-tier architectures, also known as multi-layer architectures, provide a structured approach to application development that enhances these qualities. This book provides a high-level introduction to the architecture principles and services essential for building multi-tier applications on AWS.

  5. The book describes the evolution of typical web project architecture, which grows step by step by making changes in architecture, like moving some parts to their own layers, improving error handling, and maybe rethinking how data is stored.

  6. Simple RESTful API design guidelines that make sense
    that Developers will (want to) use
    Michalis ARGYRIOU

    This book provides a cookbook of guidelines on designing beautiful (simple to use) and practical (simple to implement) RESTful API.

  7. Ideas for projects when teaching Python as well as general inspiration ex. when building a hobby project. It sources use-cases from Reddit and is grouped in some 20 chapters.

  8. Defense Evasion In Linux
    Defeating File Integrity Monitoring
    Adhokshaj Mishra
    No Description Available
  9. HAZ Panes Venezolanos EN CASA
    ... aromas y sabores de nuestra tierra
    Jesús E. Méndez A. , Alexander A. Ramírez M., and Luisa González Pérez

    Este es un libro sobre nuestra Panadería, nuestra gastronomía, nuestra cultura panadera, es fin, sobre lo nuestro. Nuestros panes nos acompañan en cada comida y la hacen más deliciosa y memorable. Si deseas hacer tus propios panes en casa y reproducir nuestros aromas para compartirlo con tus afectos, entonces Haz Panes Venezolanos en Casa.

  10. Facilitation is a Team Sport
    How teams at sipgate facilitate their own discussions for better flow
    Corinna Baldauf

    All the techniques in this book have been in use at sipgate for many years. So if you’re ever in doubt whether the techniques would work “in the real world” – Yes, they would! Because they do :)

  11. Zero to Py
    A Comprehensive Guide to Learning the Python Programming Language
    Michael Green

    A comprehensive guide to learning the Python programming language, written so to be accessible to readers of all levels, from beginner python developers to those who have some experience with python. Even more advanced users may find some utility from the later chapters.

  12. Product Roadmaps
    Build and Communicate your Product Strategy
    Kamil Imański

    This book is practical. It describes the whole process of building the product strategy. It explains how to build the product strategy, techniques to discover the product scope, various prioritization methods, and how to communicate it throughout the product roadmap in a visually-appealing manner to keep your stakeholders excited!

  13. Eric Zimmerman's Binary Foray
    A history of all the blog posts from Binary Foray
    Andrew Rathbun and Eric Zimmerman
    No Description Available
  14. Zyber's Invades
    Very first attempt in bug bounty walkthrough
    Rithma Keshan

    This includes all steps & tools which i used to complete my assignment

  15. Biological Data Science with R covers data manipulation with dplyr, visualization with ggplot2, essential statistics, survival analysis, RNA-seq analysis, phylogenetic trees, predictive modeling and infectious disease forecasting, text mining and natural language processing, and more.