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Introduction To Algorithms

Introduction To Algorithms
by Thomas H.. Cormen, Thomas H Cormen, Charles E Leiserson, Ronald L Rivest, Clifford Stein

The first edition won the award for Best 1990 Professional and Scholarly Book in Computer Science and Data Processing by the Association of American Publishers.

There are books on algorithms that are rigorous but incomplete and others that cover masses of material but lack rigor. Introduction to Algorithms combines rigor and comprehensiveness.

The book covers a broad range of algorithms in depth, yet makes their design and analysis accessible to all levels of readers. Each chapter is relatively self-contained and can be used as a unit of study. The algorithms are described in English and in a pseudocode designed to be readable by anyone who has done a little programming. The explanations have been kept elementary without sacrificing depth of coverage or mathematical rigor.

The first edition became the standard reference for professionals and a widely used text in universities worldwide. The second edition features new chapters on the role of algorithms, probabilistic analysis and randomized algorithms, and linear programming, as well as extensive revisions to virtually every section of the book. In a subtle but important change, loop invariants are introduced early and used throughout the text to prove algorithm correctness. Without changing the mathematical and analytic focus, the authors have moved much of the mathematical foundations material from Part I to an appendix and have included additional motivational material at the beginning.


Introduction to Algorithms
by Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, Clifford Stein

The latest edition of the essential text and professional reference, with substantial new material on such topics as vEB trees, multithreaded algorithms, dynamic programming, and edge-based flow.

Some books on algorithms are rigorous but incomplete; others cover masses of material but lack rigor. Introduction to Algorithms uniquely combines rigor and comprehensiveness. The book covers a broad range of algorithms in depth, yet makes their design and analysis accessible to all levels of readers. Each chapter is relatively self-contained and can be used as a unit of study. The algorithms are described in English and in a pseudocode designed to be readable by anyone who has done a little programming. The explanations have been kept elementary without sacrificing depth of coverage or mathematical rigor.

The first edition became a widely used text in universities worldwide as well as the standard reference for professionals. The second edition featured new chapters on the role of algorithms, probabilistic analysis and randomized algorithms, and linear programming. The third edition has been revised and updated throughout. It includes two completely new chapters, on van Emde Boas trees and multithreaded algorithms, substantial additions to the chapter on recurrence (now called “Divide-and-Conquer”), and an appendix on matrices. It features improved treatment of dynamic programming and greedy algorithms and a new notion of edge-based flow in the material on flow networks. Many exercises and problems have been added for this edition. The international paperback edition is no longer available; the hardcover is available worldwide.


Algorithms Unlocked
by Thomas H. Cormen

For anyone who has ever wondered how computers solve problems, an engagingly written guide for nonexperts to the basics of computer algorithms.

Have you ever wondered how your GPS can find the fastest way to your destination, selecting one route from seemingly countless possibilities in mere seconds? How your credit card account number is protected when you make a purchase over the Internet? The answer is algorithms. And how do these mathematical formulations translate themselves into your GPS, your laptop, or your smart phone? This book offers an engagingly written guide to the basics of computer algorithms. In Algorithms Unlocked, Thomas Cormen—coauthor of the leading college textbook on the subject—provides a general explanation, with limited mathematics, of how algorithms enable computers to solve problems.

Readers will learn what computer algorithms are, how to describe them, and how to evaluate them. They will discover simple ways to search for information in a computer; methods for rearranging information in a computer into a prescribed order (“sorting”); how to solve basic problems that can be modeled in a computer with a mathematical structure called a “graph” (useful for modeling road networks, dependencies among tasks, and financial relationships); how to solve problems that ask questions about strings of characters such as DNA structures; the basic principles behind cryptography; fundamentals of data compression; and even that there are some problems that no one has figured out how to solve on a computer in a reasonable amount of time.


Introduction to Algorithms
by Udi Manber

This book emphasizes the creative aspects of algorithm design by examining steps used in the process of algorithm development. The heart of the creative process lies in an analogy between proving mathematical theorems by induction and designing combinatorial algorithms. The book contains hundreds of problems and examples. It is designed to enhance the reader’s problem-solving abilities and understanding of the principles behind algorithm design.
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Introduction to Algorithms
by CTI Reviews

Facts101 is your complete guide to Introduction to Algorithms. In this book, you will learn topics such as as those in your book plus much more. With key features such as key terms, people and places, Facts101 gives you all the information you need to prepare for your next exam. Our practice tests are specific to the textbook and we have designed tools to make the most of your limited study time.

The Algorithm Design Manual
by Steven S Skiena

Most professional programmers that I’ve encountered are not well prepared to tacklealgorithmdesignproblems.Thisisapity,becausethetechniquesofalgorithm design form one of the core practical technologies of computer science. Designing correct, e?cient, and implementable algorithms for real-world problems requires access to two distinct bodies of knowledge: • Techniques – Good algorithm designers understand several fundamental – gorithm design techniques, including data structures, dynamic programming, depth-?rst search, backtracking, and heuristics. Perhaps the single most – portantdesigntechniqueismodeling,theartofabstractingamessyreal-world application into a clean problem suitable for algorithmic attack. • Resources – Good algorithm designers stand on the shoulders of giants. Ratherthanlaboringfromscratchtoproduceanewalgorithmforeverytask, they can ?gure out what is known about a particular problem. Rather than re-implementing popular algorithms from scratch, they seek existing imp- mentations to serve as a starting point. They are familiar with many classic algorithmic problems, which provide su?cient source material to model most any application. This book is intended as a manual on algorithm design, providing access to combinatorial algorithm technology for both students and computer professionals.

Mathematics of Big Data
by Jeremy Kepner, Hayden Jananthan

The first book to present the common mathematical foundations of big data analysis across a range of applications and technologies.

Today, the volume, velocity, and variety of data are increasing rapidly across a range of fields, including Internet search, healthcare, finance, social media, wireless devices, and cybersecurity. Indeed, these data are growing at a rate beyond our capacity to analyze them. The tools—including spreadsheets, databases, matrices, and graphs—developed to address this challenge all reflect the need to store and operate on data as whole sets rather than as individual elements. This book presents the common mathematical foundations of these data sets that apply across many applications and technologies. Associative arrays unify and simplify data, allowing readers to look past the differences among the various tools and leverage their mathematical similarities in order to solve the hardest big data challenges.

The book first introduces the concept of the associative array in practical terms, presents the associative array manipulation system D4M (Dynamic Distributed Dimensional Data Model), and describes the application of associative arrays to graph analysis and machine learning. It provides a mathematically rigorous definition of associative arrays and describes the properties of associative arrays that arise from this definition. Finally, the book shows how concepts of linearity can be extended to encompass associative arrays. Mathematics of Big Data can be used as a textbook or reference by engineers, scientists, mathematicians, computer scientists, and software engineers who analyze big data.


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Structure & Interpretation Of Computer Programs

Structure and Interpretation of Computer Programs
by Harold Abelson

Structure and Interpretation of Computer Programs has had a dramatic impact on computer science curricula over the past decade. This long-awaited revision contains changes throughout the text.

There are new implementations of most of the major programming systems in the book, including the interpreters and compilers, and the authors have incorporated many small changes that reflect their experience teaching the course at MIT since the first edition was published.

A new theme has been introduced that emphasizes the central role played by different approaches to dealing with time in computational models: objects with state, concurrent programming, functional programming and lazy evaluation, and nondeterministic programming. There are new example sections on higher-order procedures in graphics and on applications of stream processing in numerical programming, and many new exercises.

In addition, all the programs have been reworked to run in any Scheme implementation that adheres to the IEEE standard.


Instructor’s Manual to Accompany Structure and Interpretation of Computer Programs
by Julie Sussman, Harold Abelson, Gerald Jay Sussman

This instructor’s manual and reader’s guide accompanies the secondedition of Structure and Interpretation of Computer Programs, by Harold Abelson and Gerald Jay Sussman with Julie Sussman.

This instructor’s manual and reader’s guide accompanies the second edition of Structure and Interpretation of Computer Programs, by Harold Abelson and Gerald Jay Sussman with Julie Sussman. It contains discussions of exercises and other material in the text as well as supplementary material, additional examples and exercises, and teaching suggestions. An appendix summarizes the Scheme programming language as used in the text, showing at what point in the text each element of Scheme is introduced.


The Reasoned Schemer
by Daniel P. Friedman, William E. Byrd, Oleg Kiselyov, Jason Hemann

A new edition of a book, written in a humorous question-and-answer style, that shows how to implement and use an elegant little programming language for logic programming.

The goal of this book is to show the beauty and elegance of relational programming, which captures the essence of logic programming. The book shows how to implement a relational programming language in Scheme, or in any other functional language, and demonstrates the remarkable flexibility of the resulting relational programs. As in the first edition, the pedagogical method is a series of questions and answers, which proceed with the characteristic humor that marked The Little Schemer and The Seasoned Schemer. Familiarity with a functional language or with the first five chapters of The Little Schemer is assumed.

For this second edition, the authors have greatly simplified the programming language used in the book, as well as the implementation of the language. In addition to revising the text extensively, and simplifying and revising the “Laws” and “Commandments,” they have added explicit “Translation” rules to ease translation of Scheme functions into relations.


Structure and Interpretation of Classical Mechanics
by Gerald Jay Sussman, Jack Wisdom

The new edition of a classic text that concentrates on developing general methods for studying the behavior of classical systems, with extensive use of computation.

We now know that there is much more to classical mechanics than previously suspected. Derivations of the equations of motion, the focus of traditional presentations of mechanics, are just the beginning. This innovative textbook, now in its second edition, concentrates on developing general methods for studying the behavior of classical systems, whether or not they have a symbolic solution. It focuses on the phenomenon of motion and makes extensive use of computer simulation in its explorations of the topic. It weaves recent discoveries in nonlinear dynamics throughout the text, rather than presenting them as an afterthought. Explorations of phenomena such as the transition to chaos, nonlinear resonances, and resonance overlap to help the student develop appropriate analytic tools for understanding. The book uses computation to constrain notation, to capture and formalize methods, and for simulation and symbolic analysis. The requirement that the computer be able to interpret any expression provides the student with strict and immediate feedback about whether an expression is correctly formulated.

This second edition has been updated throughout, with revisions that reflect insights gained by the authors from using the text every year at MIT. In addition, because of substantial software improvements, this edition provides algebraic proofs of more generality than those in the previous edition; this improvement permeates the new edition.


How to Design Programs
by Matthias Felleisen, Robert Bruce Findler, Shriram Krishnamurthi, Matthew Flatt

This introduction to programming places computer science in the core of a liberal arts education. Unlike other introductory books, it focuses on the program design process. This approach fosters a variety of skills–critical reading, analytical thinking, creative synthesis, and attention to detail–that are important for everyone, not just future computer programmers. The book exposes readers to two fundamentally new ideas. First, it presents program design guidelines that show the reader how to analyze a problem statement; how to formulate concise goals; how to make up examples; how to develop an outline of the solution, based on the analysis; how to finish the program; and how to test. Each step produces a well-defined intermediate product. Second, the book comes with a novel programming environment, the first one explicitly designed for beginners. The environment grows with the readers as they master the material in the book until it supports a full-fledged language for the whole spectrum of programming tasks.

All the book’s support materials are available for free on the Web. The Web site includes the environment, teacher guides, exercises for all levels, solutions, and additional projects.

A second edition is now available.


Structure and Interpretation of Computer Programs – 2nd Edition
by Harold Abelson , Gerald Jay Sussman, Julie Sussman

Structure and Interpretation of Computer Programs by Harold Abelson and Gerald Jay Sussman is licensed under a Creative Commons Attribution-NonCommercial 3.0 License.


Simply Scheme
by Brian Harvey, Matthew Wright

An introductory-level text for students who are not majoring in computer science as well as for computer science majors with no prior programming experience, Simply Scheme teaches computer science from a functional/symbolic point of view. It provides a solid platform from which students can go on to study the seminal work Structure and Interpretation of Computer Programs.

Beginners will find the authors’ approach sophisticated yet conversational and unintimidating. Using Scheme, a modern dialect of Lisp, they teach fundamental ideas and concepts of computer science — composition of functions, function as object, recursion, abstraction (data abstraction and procedural abstraction), and sequential (non-functional) techniques — in a way that avoids confusing technical pitfalls. Interesting nonmathematical programming examples use words and sentences as data; practical examples are represented by miniature spreadsheet and database programs.

Simply Scheme devotes five chapters to recursion, presenting distinct ways for readers to think about this watershed idea. There is also a chapter on file input/output, and students are able to work on substantial, realistic programming projects in the first semester.

Compared to Pascal- or C-based texts, Simply Scheme has many advantages in its use of the Scheme programming language. Scheme is interactive and allows for ease of program development and debugging; its first-class functions and automatic storage allocation provide a high level of abstraction so that programmers can concentrate on the desired goal instead of on the computer; its simple, uniform syntax doesn’t take up months of class time.

Simply Scheme differs from other Scheme-based books in its detailed and thorough exploration of the beginning steps in computer science. In addition to its emphasis on recursion, it also explores higher-order procedures and trees in depth, leaving object-oriented programming and the more difficult environment model for a later course. Simply Scheme extends the standard Scheme language with word and sentence data types to make symbolic programming easier for beginners. It also features a series of large sample programs and a series of suggested large programming projects.

Download the program files for use with the book


Paradigms of Artificial Intelligence Programming
by Peter Norvig

Paradigms of AI Programming is the first text to teach advanced Common Lisp techniques in the context of building major AI systems. By reconstructing authentic, complex AI programs using state-of-the-art Common Lisp, the book teaches students and professionals how to build and debug robust practical programs, while demonstrating superior programming style and important AI concepts. The author strongly emphasizes the practical performance issues involved in writing real working programs of significant size. Chapters on troubleshooting and efficiency are included, along with a discussion of the fundamentals of object-oriented programming and a description of the main CLOS functions. This volume is an excellent text for a course on AI programming, a useful supplement for general AI courses and an indispensable reference for the professional programmer.


Concepts, Techniques, and Models of Computer Programming
by Peter Van-Roy, Seif Haridi

Teaching the science and the technology of programming as a unified discipline that shows the deep relationships between programming paradigms.

This innovative text presents computer programming as a unified discipline in a way that is both practical and scientifically sound. The book focuses on techniques of lasting value and explains them precisely in terms of a simple abstract machine. The book presents all major programming paradigms in a uniform framework that shows their deep relationships and how and where to use them together. After an introduction to programming concepts, the book presents both well-known and lesser-known computation models (“programming paradigms”). Each model has its own set of techniques and each is included on the basis of its usefulness in practice. The general models include declarative programming, declarative concurrency, message-passing concurrency, explicit state, object-oriented programming, shared-state concurrency, and relational programming. Specialized models include graphical user interface programming, distributed programming, and constraint programming. Each model is based on its kernel language–a simple core language that consists of a small number of programmer-significant elements. The kernel languages are introduced progressively, adding concepts one by one, thus showing the deep relationships between different models. The kernel languages are defined precisely in terms of a simple abstract machine. Because a wide variety of languages and programming paradigms can be modeled by a small set of closely related kernel languages, this approach allows programmer and student to grasp the underlying unity of programming. The book has many program fragments and exercises, all of which can be run on the Mozart Programming System, an Open Source software package that features an interactive incremental development environment.


Structure and Interpretation of Classical Mechanics
by Gerald Jay Sussman, Jack Wisdom, Meinhard Edwin Mayer

This textbook takes an innovative approach to the teaching of classical mechanics, emphasizing the development of general but practical intellectual tools to support the analysis of nonlinear Hamiltonian systems. The development is organized around a progressively more sophisticated analysis of particular natural systems and weaves examples throughout the presentation. Explorations of phenomena such as transitions to chaos, nonlinear resonances, and resonance overlaps to help the student to develop appropriate analytic tools for understanding. Computational algorithms communicate methods used in the analysis of dynamical phenomena. Expressing the methods of mechanics in a computer language forces them to be unambiguous and computationally effective. Once formalized as a procedure, a mathematical idea also becomes a tool that can be used directly to compute results.

The student actively explores the motion of systems through computer simulation and experiment. This active exploration is extended to the mathematics. The requirement that the computer be able to interpret any expression provides strict and immediate feedback as to whether an expression is correctly formulated. The interaction with the computer uncovers and corrects many deficiencies in understanding.


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Blueprint

Blueprint
by Robert Plomin

A top behavioral geneticist makes the case that DNA inherited from our parents at the moment of conception can predict our psychological strengths and weaknesses.

In Blueprint, behavioral geneticist Robert Plomin describes how the DNA revolution has made DNA personal by giving us the power to predict our psychological strengths and weaknesses from birth. A century of genetic research shows that DNA differences inherited from our parents are the consistent life-long sources of our psychological individuality—the blueprint that makes us who we are. This, says Plomin, is a game changer.

Plomin has been working on these issues for almost fifty years, conducting longitudinal studies of twins and adoptees. He reports that genetics explains more of the psychological differences among people than all other factors combined. Genetics accounts for fifty percent of psychological differences—not just mental health and school achievement but all psychological traits, from personality to intellectual abilities. Nature, not nurture is what makes us who we are.

Plomin explores the implications of this, drawing some provocative conclusions—among them that parenting styles don’t really affect children’s outcomes once genetics is taken into effect. Neither tiger mothers nor attachment parenting affects children’s ability to get into Harvard. After describing why DNA matters, Plomin explains what DNA does, offering readers a unique insider’s view of the exciting synergies that came from combining genetics and psychology.


Blueprint
by Nicholas A. Christakis

Drawing on advances in social science, evolutionary biology, genetics, neuroscience, and network science, Blueprint shows how and why evolution has placed us on a humane path — and how we are united by our common humanity.

For too long, scientists have focused on the dark side of our biological heritage: our capacity for aggression, cruelty, prejudice, and self-interest. But natural selection has given us a suite of beneficial social features, including our capacity for love, friendship, cooperation, and learning. Beneath all our inventions — our tools, farms, machines, cities, nations — we carry with us innate proclivities to make a good society.
In Blueprint, Nicholas A. Christakis introduces the compelling idea that our genes affect not only our bodies and behaviors, but also the ways in which we make societies, ones that are surprisingly similar worldwide. With many vivid examples — including diverse historical and contemporary cultures, communities formed in the wake of shipwrecks, commune dwellers seeking utopia, online groups thrown together by design or involving artificially intelligent bots, and even the tender and complex social arrangements of elephants and dolphins that so resemble our own — Christakis shows that, despite a human history replete with violence, we cannot escape our social blueprint for goodness.
In a world of increasing political and economic polarization, it’s tempting to ignore the positive role of our evolutionary past. But by exploring the ancient roots of goodness in civilization, Blueprint shows that our genes have shaped societies for our welfare and that, in a feedback loop stretching back many thousands of years, societies have shaped, and are still shaping, our genes today.


Book Blueprint
by Jacqui Pretty

With the availability of self-publishing services and the rise of the entrepreneur as a thought leader, writing a book is becoming more appealing to an increasing number of small business owners. The problem? Most small business owners aren’t writers, have never written a book before, are time poor and don’t know where to start. While many want to write a book, they worry about investing months of their time and thousands of their dollars to write something that isn’t any good, or to not even finish. Book Blueprint gives a step-by-step framework that any entrepreneur can follow to write a great book quickly, even if they’re not a writer.

The Blueprint
by Jim Fannin

 For over forty years a simple life blueprint has been customized by Jim Fannin, the master coach for 2,500-plus of the “best of the best” in life, business, and sports. His plan is now available to you and it includes proven, concrete tools and techniques to enhance every aspect of your life.

You will learn tools to…

·      Swiftly reverse a negative day

·      Re-ignite the spark in your marriage

·      Reach peak performance at the right time and place

·      Gain more confidence and positive self-esteem

·      Find a “peaceful calm” when chaos and negative stress arrive

·      Simplify and balance your life

“My entire family has thrived with Jim Fannin’s blueprint for living a successful life,” says Julie McAllister, mother, wife, and business executive.

“For 10 years Jim Fannin has helped our student-athletes create a blueprint for their success. Our men’s golf program’s amazing achievements have Jim Fannin’s influence to thank,” says NCAA Coach of the Year Mike Small of the University of Illinois.

“Jim’s life blueprint with his powerful tools and techniques worked for me as a professional athlete and they continue to work as a business owner, father and husband,” says former MLB All-Star John Buck.

“With The Blueprint I changed my life and the direction of my company. Within two years I doubled my business and balanced and simplified my life,” says CEO Rob Wilson of Employco, USA

“If you want to organize your life in order to be your genuine, authentic, best self, Jim Fannin’s The Blueprint is the proven solution,” says CEO Mike Flaskey of Diamond Resorts International. 


Blueprint Reading
by Sam Kubba

Improve Your Ability to Read and Interpret All Types of Construction Drawings

Blueprint Reading is a step-by-step guide to reading and interpreting all types of construction drawings. Filled with hundreds of illustrations and study questions, this easy-to-use resource offers a complete overview of construction drawing basics for every aspect of the construction process- from site work, foundations, and structural systems to interior work and finishes.

Covering all the latest technological advances, noted architect Sam Kubba offers detailed information on:

  • Blueprint standards-ANSI, ISO, AWS, and ASME
  • Computer-aided design (CAD) and computer-aided design and drafting (CADD)
  • Lines, views, elevations, and dimensions
  • Layouts of all construction drawing types-architectural, structural, mechanical, and electrical
  • Specifications-MasterFormat and UniFormat
  • Symbols-materials, electrical, plumbing, HVAC, and others
  • How to avoid costly pitfalls on construction projects

You’ll also find a glossary of terms for quick reference, convenient tables and charts for identifying symbols and abbreviations, and much more.

Inside This Skills-Building Guide to Construction Drawing Basics

• Blueprint Standards • Blueprints and Construction Drawings: A Universal Language • Understanding Lines • Types of Views • Understanding Dimensions • Layout of Construction Drawings • Understanding Industrial Blueprints • The Meaning of Symbols • Understanding Schedules • Specifications • ISO Issues, Codes, and Building Regulations • Construction Business Environment


Privacy’s Blueprint
by Woodrow Hartzog

Every day, Internet users interact with technologies designed to undermine their privacy. Social media apps, surveillance technologies, and the Internet of Things are all built in ways that make it hard to guard personal information. And the law says this is okay because it is up to users to protect themselves—even when the odds are deliberately stacked against them. In Privacy’s Blueprint, Woodrow Hartzog pushes back against this state of affairs, arguing that the law should require software and hardware makers to respect privacy in the design of their products. Current legal doctrine treats technology as though it were value-neutral: only the user decides whether it functions for good or ill. But this is not so. As Hartzog explains, popular digital tools are designed to expose people and manipulate users into disclosing personal information. Against the often self-serving optimism of Silicon Valley and the inertia of tech evangelism, Hartzog contends that privacy gains will come from better rules for products, not users. The current model of regulating use fosters exploitation. Privacy’s Blueprint aims to correct this by developing the theoretical underpinnings of a new kind of privacy law responsive to the way people actually perceive and use digital technologies. The law can demand encryption. It can prohibit malicious interfaces that deceive users and leave them vulnerable. It can require safeguards against abuses of biometric surveillance. It can, in short, make the technology itself worthy of our trust.

The Blueprint
by J.P. Lewis, Joanna Everitt

In this collection, J.P. Lewis and Joanna Everitt bring together a group of up-and coming-political scientists as well as senior scholars to explore the recent history of the Conservative Party of Canada, covering the pre-merger period (1993-2003) and both the minority and majority governments under Prime Minister Stephen Harper.

The contributors provide nuanced accounts about the experience of conservatives in Canada which reflect the contemporary evolution of Canadian politics in both policy and practice. They challenge the assumption that Harper’s government was built upon traditional “toryism” and reveal the extent to which the agenda of the CPC was shaped by its roots to the Reform and Canadian Alliance Parties. Organized thematically, the volume delves into such topics as interest advocacy, ethno-cultural minorities, gender, the media, foreign policy, and more. The Blueprint showcases the renewed vigour in political studies in Canada while revealing the contradictory story of the modern Conservative Party.


Blueprint Reading Basics
by Warren Hammer

Written by a seasoned professional with more than 50 years experience in manufacturing, the new third edition of this widely used text and self-training manual has been expanded to include many new and revised worksheets designed to facilitate the reader’s ability to form a mental picture from a drawing. Blueprint Reading Basics reviews the subject in great detail using many illustrations and examples, as well as thoroughly reviewing all other aspects of print reading. It includes industry standards, practices, and copies of industrial prints throughout, providing a balanced presentation of blueprint reading theory and industry applications. And it is the perfect text for students taking blueprint reading, machine shop, or tool and die courses, as well as machinists, mechanics, technicians, and inspectors.

  • Each chapter thoroughly covers one subject and contains an introduction, a detailed review of the subject, illustrations, review questions, and worksheets with short and specific questions.
  • Many worksheets can be completed after studying one subject, meaning they can be reviewed before studying the entire chapter.
  • Discussions of mathematics, engineering theories, drafting techniques and machine shop practices are kept to a minimum.
  • All exercises can be used as teaching aids and have been classroom tested.
  • Stresses practical concerns through questions designed to reinforce techniques of calculating dimensions. Written in a nontechnical and easy-to-understand manner.

Blockchain
by Melanie Swan

Bitcoin is starting to come into its own as a digital currency, but the blockchain technology behind it could prove to be much more significant. This book takes you beyond the currency (“Blockchain 1.0”) and smart contracts (“Blockchain 2.0”) to demonstrate how the blockchain is in position to become the fifth disruptive computing paradigm after mainframes, PCs, the Internet, and mobile/social networking.

Author Melanie Swan, Founder of the Institute for Blockchain Studies, explains that the blockchain is essentially a public ledger with potential as a worldwide, decentralized record for the registration, inventory, and transfer of all assets—not just finances, but property and intangible assets such as votes, software, health data, and ideas.

Topics include:

  • Concepts, features, and functionality of Bitcoin and the blockchain
  • Using the blockchain for automated tracking of all digital endeavors
  • Enabling censorship?resistant organizational models
  • Creating a decentralized digital repository to verify identity
  • Possibility of cheaper, more efficient services traditionally provided by nations
  • Blockchain for science: making better use of the data-mining network
  • Personal health record storage, including access to one’s own genomic data
  • Open access academic publishing on the blockchain

This book is part of an ongoing O’Reilly series. Mastering Bitcoin: Unlocking Digital Crypto-Currencies introduces Bitcoin and describes the technology behind Bitcoin and the blockchain. Blockchain: Blueprint for a New Economy considers theoretical, philosophical, and societal impact of cryptocurrencies and blockchain technologies.


Blueprint
by Adam Schrager

Through the microcosm of Colorado’s stunning political transformation, this is an inside look at the rapidly-changing business of campaigns and elections. The techniques pioneered in Colorado have been recognized by both parties and pundits as the future of American politics.