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  Into the Darkness a Journey into...

  Darren Smith

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  "One of the best new Schizophrenia books" - BookAuthority 
  ★★★★★ Readers' Favorite Book Review. 
  Have you ever wondered what it’s like to be a schizophrenic?Beautifully written with raw and candid reflections on the harrowing reality of living with severe schizophrenia, Into the Darkness invites you to join author Darren Smith as he reveals the heart-wrenching reality of being unable to tell real life from psychosis. 
  In this intimate tell-all memoir, Darren takes readers on an unparalleled journey into his disorder, shining a light on the confusion, delusional thoughts, tormenting voices, and persistent paranoia that defined decades of his life—from his troubled childhood when he experienced his very first delusion to struggling to survive as an adult in a frightening world. 
  And as his grip on reality grows increasingly fragile, Darren recounts the self-destructive coping mechanisms that pushed him deeper down the rabbit hole and towards the dreadful nightmare realm of a full-fledged schizophrenic break. 
  But amid the darkness of adolescent bullying, a painful parental divorce, and an adulthood filled with unrelenting hallucinations, Darren reveals how he fought a years-long battle and triumphed over insurmountable challenges, unlocking a wellspring of hope that helped him achieve victory over his inner demons and grow into the person he is today. 
  As a must-read for fellow sufferers of schizophrenia, as well as for therapists and mental health professionals, Into the Darkness is equal parts shocking and illuminating. This book draws you into not only Darren’s life, but also the lives of the friends and family who stuck with him, giving readers a unique and thought-provoking inside view of this multifaceted condition.

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  Theory of Computation

  Introbooks Team

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  Theory of computation is seen as a branch of both theoretical computer science and modern mathematics (however, it also contains some concepts from pure mathematics). Theory of computation shows how one can effectively solve a problem using a computational model. A number of computational models are described in theory of computation. Algorithm is most common format of computational model. Algorithm is a logical, systematic presentation of the process of problem solution. It theoretically represents the procedure of solving a particular problem. Flowchart is another form of such model of computation. Simply, flowchart is a graphical representation of any algorithm, using various symbols. Each symbol of flowchart represents a particular action. Algorithms and flowcharts possess a strong relation among each other. Yet, theory of computation talks more deeply and descriptively about algorithms and less about flowcharts. 
  Theories, which are too broad, are often divided into sub theories or branches. Such division allows one to approach and learn the theory efficiently. Theory of computation is divided into four main branches. Many people see these branches as individual sub theories (sub theories and branches are both different terms). These main branches/ sub theories are as following:Automata TheoryFormal Language TheoryComputability TheoryComputational Complexity Theory 
  Here, it should be noticed that many theories treat Automata Theory and Formal Language Theory as individual concepts. It is same for vice versa situation. Many treat them as a whole. In this book, they are described as individual concepts. However, you will find many connections between their concepts. The whole structure of computation theory is dedicated to describe the capabilities and limitations of modern computer system; in terms of solving a particular problem, (This process includes various steps and operations). 
  Model of computations are mathematical abstractions of computers and their functionality. These models are used to descriptive studies and researches related to computers and various functions provided by them (capabilities, limitations, etc). These computational models are divided in various types according to the characteristics and results they provide. Turning machine is one of these many models of computations. This model is being referred here since it is arguably the most reasonable and powerful model compared to other computational models. This model has a simple and straightforward structure that is easy to interpret and understand which makes the formulation and analyzing process much easier. Other models consider that infinite memory capacity is essential in order to provide results related to decidable problems. However, turning machine requires only a finite amount of memory in order to solve and provide results for a decidable problem. It means that if a turning model is capable of solving a problem; the very same problem can be solved using any other computer that has a finite amount of available memory. 
  However, some researchers denied the turning model being the most reliable model. They do not deny its functions or capabilities, but they do point out some limitations ignoring the fact that they are yet to be proven practically. 

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  EZ HTML Basics

  Jim Stephens

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  EZ HTML Basics is one of dozens of Courses Focusing On Hot Internet Marketing & Make Money Topics.

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  Data Science for Beginners - 2...

  Brian Murray

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  "Data Science for Beginners" is a comprehensive guide to the exciting and rapidly growing field of Data Science. This book is designed to provide a clear and concise introduction to Data Science for those with little or no prior experience in the field. 
   The book covers the fundamentals of Data Science, including data exploration and visualization, statistical analysis, and machine learning techniques. The reader will learn how to clean, preprocess, and analyze data using popular tools and programming languages such as Python and R. They will also be introduced to popular machine learning algorithms such as Linear Regression, Logistic Regression, Decision Trees, Random Forests, Support Vector Machines, Clustering Algorithms, and Neural Networks. 
   The book also covers the essential topics in the Data Science workflow, including data collection, data preparation, feature engineering, model building, and deployment. The reader will learn how to evaluate model performance, select the right model for a given problem, and deploy the model to production. 
   In addition, the book discusses the ethical considerations and privacy concerns in Data Science, and how to ensure regulatory compliance. The reader will also learn about the emerging trends and technologies in the field and the implications for businesses and society. 
   Whether you're a student, an aspiring data scientist, or a professional looking to expand your skillset, "Data Science for Beginners" is an essential guide to the fundamentals of Data Science. With clear explanations, practical examples, and hands-on exercises, this book will equip you with the knowledge and skills needed to become a successful Data Scientist.

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  Ultimate Web Authentication...

  Sambit Dash

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  Practical gateway to securing web applications with OIDC, OAuth, SAML, FIDO, and Digital Identity to. 
   
  
  
   
  KEY FEATURES 
  ? Dive into real-world practical hands-on experience with authentication protocols through sample code. 
  ? Gain a programmer's perspective on cryptography, certificates, and their role in securing authentication processes. 
  ? Explore a wide array of authentication protocols, including TLS, SAML, OAuth, OIDC, WebAuthn, and Digital Identity. 
  ? Graded step-by-step guidance that simplifies complex concepts, making them accessible to programmers of all levels of expertise. 
   
  
  
   
  DESCRIPTIONIn today's digital landscape, web apps evolve rapidly, demanding enhanced security. This Ultimate Web Authentication Handbook offers a comprehensive journey into this realm. Beginning with web authentication basics, it builds a strong foundation. You'll explore cryptography fundamentals, essential for secure authentication. The book delves into the connection between authentication and network security, mastering federated authentication via OAuth and OIDC protocols. 
   
  
  
   
  You'll also harness multi factor authentication's power and stay updated on advanced trends. The book expands on deepening your understanding of Java Web Token (JWT), FIDO 2, WebAuthn, and biometric authentication to fortify web apps against multifaceted threats. Moreover, you'll learn to use Identity and Access Management (IAM) solutions for constructing highly secure systems. Whether you're a developer, security enthusiast, or simply curious about web security, this book unlocks the secrets of secure online interactions. 
   
  
  
   
  WHAT WILL YOU LEARN 
  ? Comprehend Web Application Architectures and Enhance Security Measures. 
  ? Implement Robust Web Security with Public Key Cryptography. 
  ? Harness SAML, OAuth, and OIDC for Advanced User Authentication and Authorization. 
  ? Strengthen Web App Security with Multi Factor Authentication. Transition to Passwordless Authentication with FIDO and Biometric Security. 
  ? Stay Ahead with Insights into Digital Identity, Biometric Authentication, Post-Quantum Cryptography, and Zero Trust Architecture Trends. 
   
  
  
   
  WHO IS THIS BOOK FOR?This book is for computer programmers, web application designers, and architects. Most Identity Management Products focus on the server components, while this book intends to serve numerous developers of client integrations who need a conceptual understanding of the standards. The sample applications are developed using Golang and Flutter Web. 
   
  
  
   
  TABLE OF CONTENTS 
  1. Introduction to Web Authentication. 
  2. Fundamentals of Cryptography. 
  3. Authentication with Network Security. 
  4. Federated Authentication-I
  5. Federated Authentication-II
  6. Multifactor Authentication. 
  7. Advanced Trends in Authentication.   
  Appendix A: The Go Programming Language Reference.   
  Appendix B: The Flutter Application Framework.   
  Appendix C: TLS Certificate Creation. 	 
  Index.

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  Piping Design for Industrial...

  Bill Huitt

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  About the Class  
  This 6.5hr course will provide the piping designer and engineer with the broad, but specific information they need to perform their job more efficiently and effectively. It will provide a better understanding of regulatory compliance, system ratings, and leak testing requirements. The attendee will gain the information they need in order to better understand pipe specifications, the piping design process, and its various elements in the preparation and execution of a project. 
  The course will be delivered in three sessions. Each session will be divided further into subject matter parts, providing somewhat convenient increments for a momentary pause or a lengthy break. 
  What will you learn in this course?Session 1 sets the stage by introducing the student to the history of codes and standards, how to interpret codes, and learning how they are developed what is done to avoid conflicting rules between codes.Session 2 steps through the ASME B31.3 Process Piping code chapter by a chapter explaining key points of each chapter. It then touches on code boundaries and project planning.Session 3 pulls it all together to step the student through developing pipe material specifications, selecting flange ratings, various design elements, welding, fabrication, examination, inspection, testing, installation, leak testing, and turnover documentation.

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