From hundreds of curriculum-based activities, exercises, and games in every subject to a new technology section, progress map, and stickers, discover the ultimate first grade workbook from America's #1 educational bestseller. Loved by kids, teacher approved, and trusted by parents, Brain Quest Grade 1 Workbook reviews and reinforces what children are learning in the classroom in an instantly engaging, entertaining way. Each page is jam packed with fun activities, practice exercises, and games covering ABCs, phonics, spelling and vocabulary, time and money, maps, science, and much more.What’s New?Technology section Introduces children to computer science, coding, and logic Updated content Activities and illustrations are revised to reflect the diversity of children, their families, and experiences Support for parents and children Section openers preview upcoming content and provide directions and suggestions to help make learning stick A fun progress sticker mapwith stickers Helps children celebrate their accomplishments as they complete each section of the workbook Comes with A completion certificate Mini Smart Card question-and-answer deck Aligned with national and state standards and reviewed by award-winning teachers, this workbook appeals to children’s natural curiosity, with interactive layouts and easy-to-follow explanations that take the intimidation out of learning. Plus, it’s written to help support parents with explanations of key concepts for homework help! Read more

From hundreds of curriculum-based activities, exercises, and games in every subject to a new technology section, progress map, and stickers, discover the ultimate second grade workbook from America's #1 educational bestseller. Loved by kids, teacher approved, and trusted by parents, Brain Quest Grade 2 Workbook reviews and reinforces what children are learning in the classroom in an instantly engaging, entertaining way. Each page is jam packed with fun activities, practice exercises, and games covering sentence building, addition and subtraction, fractions time and money, social studies, geography science, and much more.What’s New?Technology section Introduces children to computer science, coding, and logic Updated content Activities and illustrations are revised to reflect the diversity of children, their families, and experiences Support for parents and children Section openers preview upcoming content and provide directions and suggestions to help make learning stick A fun progress sticker mapwith stickers Helps children celebrate their accomplishments as they complete each section of the workbook Comes with A completion certificate Mini Smart Card question-and-answer deck Aligned with national and state standards and reviewed by award-winning teachers, this workbook appeals to children’s natural curiosity, with interactive layouts and easy-to-follow explanations that take the intimidation out of learning. Plus, it’s written to help support parents with explanations of key concepts for homework help! Read more

From hundreds of curriculum-based activities, exercises, and games in every subject to a new technology section, progress map, and stickers, discover the ultimate fourth grade workbook from America's #1 educational bestseller. Loved by kids, teacher approved, and trusted by parents, Brain Quest Grade 4 Workbook reviews and reinforces what children are learning in the classroom in an instantly engaging, entertaining way. Each page is jam packed with fun activities, practice exercises, and games covering vocabulary, language arts, math word problems, multiplication and division, fractions and decimals, geometry and measurement social studies, science, and much more.  What’s New?Technology section Introduces children to computer science, coding, and logic Updated content Activities and illustrations are revised to reflect the diversity of children, their families, and experiences Support for parents and children Section openers preview upcoming content and provide directions and suggestions to help make learning stick A fun progress sticker mapwith stickers Helps children celebrate their accomplishments as they complete each section of the workbook Comes with A completion certificate Mini Smart Card question-and-answer deck Aligned with national and state standards and reviewed by award-winning teachers, this workbook appeals to children’s natural curiosity, with interactive layouts and easy-to-follow explanations that take the intimidation out of learning. Plus, it’s written to help support parents with explanations of key concepts for homework help! Read more

A fascinating exploration of how computer algorithms can be applied to our everyday lives, helping to solve common decision-making problems and illuminate the workings of the human mindAll our lives are constrained by limited space and time, limits that give rise to a particular set of problems. What should we do, or leave undone, in a day or a lifetime? How much messiness should we accept? What balance of new activities and familiar favorites is the most fulfilling? These may seem like uniquely human quandaries, but they are not: computers, too, face the same constraints, so computer scientists have been grappling with their version of such problems for decades. And the solutions they've found have much to teach us.In a dazzlingly interdisciplinary work, acclaimed author Brian Christian (who holds degrees in computer science, philosophy, and poetry, and works at the intersection of all three) and Tom Griffiths (a UC Berkeley professor of cognitive science and psychology) show how the simple, precise algorithms used by computers can also untangle very human questions. They explain how to have better hunches and when to leave things to chance, how to deal with overwhelming choices and how best to connect with others. From finding a spouse to finding a parking spot, from organizing one's inbox to understanding the workings of human memory, Algorithms to Live By transforms the wisdom of computer science into strategies for human living. Read more

Be prepared for exam day with Barron’s. Trusted content from AP experts! Barron’s AP Computer Science Principles Premium, 2025 includes in-depth content review and online practice. It’s the only book you’ll need to be prepared for exam day.Written by Experienced Educators Learn from Barron’s--all content is written and reviewed by AP experts Build your understanding with comprehensive review tailored to the most recent exam Get a leg up with tips, strategies, and study advice for exam day--it’s like having a trusted tutor by your side Be Confident on Exam Day Sharpen your test‑taking skills with 6 full‑length practice tests–3 in the book, including a diagnostic test to target your studying, and 3 more online–plus detailed answer explanations for all questions Strengthen your knowledge with in‑depth review covering all Big Ideas on the AP Computer Science Principles Exam Reinforce your learning with practice questions at the end of each chapter that cover all frequently tested topics Prepare for the AP Computer Science Principles Create Performance Task with 6 full sample Create Performance Tasks with complete written reports and requirements for scoring Robust Online Practice Continue your practice with 3 full‑length practice tests on Barron’s Online Learning Hub Simulate the exam experience with a timed test option Deepen your understanding with detailed answer explanations and expert advice Gain confidence with scoring to check your learning progress Going forward, this exam will only be offered in a digital format. Barron's AP online tests offer a digital experience with a timed test option to get you ready for test day. Visit the Barron's Learning Hub for more digital practice. Read more

From the editors of Brain Quest, America’s #1 educational bestseller! This Big Fat Notebook makes it all “sink in” with key concepts, mnemonic devices, definitions, diagrams, and doodles to help you understand computer science.  Including:Computing systemsBinary codeAlgorithmsComputational thinkingLoops, events, and proceduresProgramming in Scratch and PythonBoolean ExpressionsWeb developmentCybersecurityHTMLCSS…and more!   The Big Fat Notebook series is built on a simple and irresistible conceit—borrowing the notes from the smartest kid in class. Each book in the series meets Common Core State Standards, Next Generation Science Standards, and state history standards, and are vetted by National and State Teacher of the Year Award–winning teachers. They make learning fun and are the perfect next step for every kid who grew up on Brain Quest. Read more

A lot of professors give talks titled "The Last Lecture." Professors are asked to consider their demise and to ruminate on what matters most to them. And while they speak, audiences can't help but mull the same question: What wisdom would we impart to the world if we knew it was our last chance? If we had to vanish tomorrow, what would we want as our legacy? When Randy Pausch, a computer science professor at Carnegie Mellon, was asked to give such a lecture, he didn't have to imagine it as his last, since he had recently been diagnosed with terminal cancer. But the lecture he gave--"Really Achieving Your Childhood Dreams"--wasn't about dying. It was about the importance of overcoming obstacles, of enabling the dreams of others, of seizing every moment (because "time is all you have...and you may find one day that you have less than you think"). It was a summation of everything Randy had come to believe. It was about living.In this book, Randy Pausch has combined the humor, inspiration and intelligence that made his lecture such a phenomenon and given it an indelible form. It is a book that will be shared for generations to come."We cannot change the cards we are dealt, just how we play the hand." --Randy Pausch Read more

I am not a recruiter. I am a software engineer. And as such, I know what it's like to be asked to whip up brilliant algorithms on the spot and then write flawless code on a whiteboard. I've been through this as a candidate and as an interviewer. Cracking the Coding Interview, 6th Edition is here to help you through this process, teaching you what you need to know and enabling you to perform at your very best. I've coached and interviewed hundreds of software engineers. The result is this book. Learn how to uncover the hints and hidden details in a question, discover how to break down a problem into manageable chunks, develop techniques to unstick yourself when stuck, learn (or re-learn) core computer science concepts, and practice on 189 interview questions and solutions. These interview questions are real; they are not pulled out of computer science textbooks. They reflect what's truly being asked at the top companies, so that you can be as prepared as possible. WHAT'S INSIDE?189 programming interview questions, ranging from the basics to the trickiest algorithm problems.A walk-through of how to derive each solution, so that you can learn how to get there yourself.Hints on how to solve each of the 189 questions, just like what you would get in a real interview.Five proven strategies to tackle algorithm questions, so that you can solve questions you haven't seen.Extensive coverage of essential topics, such as big O time, data structures, and core algorithms.A behind the scenes look at how top companies like Google and Facebook hire developers.Techniques to prepare for and ace the soft side of the interview: behavioral questions.For interviewers and companies: details on what makes a good interview question and hiring process.Illustrations noteIllustrations: Illustrations, black and white Read more

A rich, narrative explanation of the mathematics that has brought us machine learning and the ongoing explosion of artificial intelligence Machine learning systems are making life-altering decisions for us: approving mortgage loans, determining whether a tumor is cancerous, or deciding if someone gets bail. They now influence developments and discoveries in chemistry, biology, and physics—the study of genomes, extrasolar planets, even the intricacies of quantum systems. And all this before large language models such as ChatGPT came on the scene. We are living through a revolution in machine learning-powered AI that shows no signs of slowing down. This technology is based on relatively simple mathematical ideas, some of which go back centuries, including linear algebra and calculus, the stuff of seventeenth- and eighteenth-century mathematics. It took the birth and advancement of computer science and the kindling of 1990s computer chips designed for video games to ignite the explosion of AI that we see today. In this enlightening book, Anil Ananthaswamy explains the fundamental math behind machine learning, while suggesting intriguing links between artificial and natural intelligence. Might the same math underpin them both? As Ananthaswamy resonantly concludes, to make safe and effective use of artificial intelligence, we need to understand its profound capabilities and limitations, the clues to which lie in the math that makes machine learning possible. Read more

EVERYTHING YOU NEED TO SCORE A PERFECT 5 on the AP Computer Science Principles Exam! Ace the popular test with this comprehensive study guide, which includes 4 full-length practice tests, thorough content reviews, targeted strategies, and access to online extras.Techniques That Actually Work• Tried-and-true strategies to help you avoid traps and beat the test• Tips for pacing yourself and guessing logically• Essential tactics to help you work smarter, not harderEverything You Need for High Score• Fully aligned with the latest College Board standards for AP® Computer Science Principles• Comprehensive content review for all test topics, including the Create Performance Task• Engaging activities to help you critically assess your progress• Access to handy study guides, printable resources, helpful pre-college information, and more via your online Student Tools Practice Your Way to Excellence• 4 full-length practice tests (3 in the book, 1 online) with detailed answer explanations• Comprehension drills in each content review chapter• Step-by-step walk-throughs of sample questions• Detailed explanation of pseudocode from the AP CompSci Principles Reference Sheet Read more

It’s fun to be smart! Now updated with a technology section, this set of two multi-subject card decks will make learning exciting for fourth graders everywhere. Loved by kids, teacher-approved, and featuring hundreds of fast-paced questions and answers based on math, language arts, science, social studies, and more to reinforce classroom learning.Brain Quest 4th Grade Smart Cards helps kids aged 9 – 10 to learn core classroom subjects in a smart, entertaining, and engaging way. It’s Q&A fun that fourth graders can use to test their knowledge. Smart cards feature hundreds of questions with answers to help kids know exactly what they need to know, when they need to know it.Featuring: Two full-color Q&A decks in a reusable flip-top storage box 1,500 questions and answers covering math, science, English, US History, Geography, and more What’s New?Technology questions that cover computer science, coding, and technology Updated content with new and revised questions that include recent key cultural and historic events Revised historical content with a focus on balance, diversity, and conscious language Brain Quest decks are: Aligned with common core state standards Vetted by award-winning teachers Great for travel and fun on the go Also available: Brain Quest Workbooks (Pre-Kindergarten through 6th Grade) and Summer Workbooks (Pre-Kindergarten-Kindergarten through 5th-6th Grades) Read more

COUNTERFEIT WARNING: Do NOT buy Used books - there is a 90% chance the 3rd party is selling pirated books filled with typos, missing SQL questions, and bad print quality. Only buy NEW!Authored by two Ex-Facebook employees, Ace the Data Science Interview is the best way to prepare for Data Science, Data Analyst, and Machine Learning interviews, so that you can land your dream job at FAANG, tech startups, or Wall Street.What's inside this 301 page book?201 real Data Science interview questions asked by Facebook, Google, Amazon, Netflix, Two Sigma, Citadel and more — with detailed step-by-step solutions!Learn how to break into Data Science, with tips on crafting your resume, creating kick-ass portfolio projects, sending networking cold emails, and better telling your story during behavioral interviewsQuestions cover the most frequently-tested topics in data interviews: Probability, Statistics, Machine Learning, SQL & Database Design, Coding (Python), Product Analytics, and A/B TestingEach chapter has a brief crash-course on the most important concepts and formulas to reviewLearn how to solve open-ended case study questions that combine product-sense, business intuition, and statistical modeling skills, and practice with case interviews from Airbnb, Instagram, & AccenturePraise for Ace the Data Science Interview:"The advice in this book directly helped me land my dream job" — Advitya Gemawat, ML Engineer, Microsoft“An invaluable resource for the Data Science & ML community”— Aishwarya Srinivasan, Senior Data Scientist, Google“Graduate students should read this book for a structured approach to prep for their next data Science interview”— Ali Gowani, Faculty at Northwestern University (MS in Data Science). “The authors explain exactly what hiring managers look for — a must read for any data job seeker”— Michelle Scarbrough, Former Data Analytics Manager, F500 Co."Super helpful career advice on breaking into data & landing your first job in the field"— Prithika Hariharan, President of Waterloo Data Science Club; Data Science Intern, Wish“FINALLY! Cracking the Coding Interview but for Data Science & ML!”— Jack Morris, AI Resident, Google“Solving the 201 interview questions is helpful for people in ALL industries, not just tech!”— Lars Hulstaert, Senior Data Scientist, Johnson & JohnsonAbout Kevin Huo:Kevin Huo is currently a Data Scientist at a Hedge Fund, and previously was a Data Scientist at Facebook working on Facebook Groups. He holds a degree in Computer Science from the University of Pennsylvania and a degree in Business from Wharton. In college he interned at Facebook, Bloomberg, and on Wall Street.About Nick Singh:Nick Singh previously worked on Facebook’s Growth Team and at SafeGraph, a geospatial analytics startup. Currently, he runs SQL interview platform DataLemur.com and shares career tips on LinkedIn to his 120,000+ followers. Nick holds a degree in System Engineering with a minor in Computer Science from the University of Virginia. In college, he interned at Microsoft and at Google’s Nest Labs on the Data Infrastructure Team. Read more

Fully Updated for the May 2025 AP Exam!Teacher-Recommended and AP Expert-Reviewed.Ready to succeed in your AP Computer Science Principles course and ace the exam? This 5 Steps to a 5guide is more than a review guide -- it's a system that has helped thousands of students walk into test day feeling prepared and confident.Everything you Need for a 5:Practice with 3 full-length sample tests that align with the latest requirementsBrush up with hundreds of practice questionsReview the most important topics you covered throughout the AP school yearTrust the Experts:All 5 Steps authors are leading AP educators who are intimately familiar with the course/testAPCSP exam strategies and tips you won't find anywhere else!Digital Solutions:Personalized study plans with daily goals and powerful analyticsDigital flash cards for study on the goInteractive practice tests with answer explanationsAvailable online and on mobile devices Read more

Grokking Algorithms is a friendly guide that teaches you how to apply common algorithms to the practical problems you face every day as a programmer. You'll start with sorting and searching and, as you build up your skills in thinking algorithmically, you'll tackle more complex concerns such as data compression and artificial intelligence. Learning about algorithms doesn't have to be boring!An algorithm is nothing more than a step-by-step procedure for solving a problem. The algorithms you'll use most often as a programmer have already been discovered, tested, and proven. If you want to understand them but refuse to slog through dense multipage proofs, this is the book for you. This engaging guide makes it easy to learn how to use the most important algorithms effectively in your own programs.Contents include:Introduction to algorithmsSelection sortRecursionQuicksortHash tablesBreadth-first searchDijkstra's algorithmGreedy algorithmsDynamic programmingK-nearest neighbors This accessible introduction is suitable for self-taught programmers, engineers, or anyone who wants to brush up on algorithms. Each carefully presented example includes helpful diagrams and fully annotated code samples in Python.Aditya Bhargava is a software engineer with a dual background in computer science and fine arts. He blogs on programming at adit.io.PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio. Read more

Nursing Informatics and the Foundation of Knowledge, Sixth Edition continues to help nursing students make sense of nursing informatics in an easy-to-follow approach. A practical guide for understanding how to efficiently use modern technology in today's healthcare system, this award-winning nursing textbook teaches students how to acquire, process and disseminate knowledge. The authors use their unique Foundation of Knowledge Model throughout as an organizational structure by which to learn and teach nursing informatics. This comprehensive framework guides students through the basic building blocks of nursing informatics (nursing science, information science, computer science, cognitive science) before diving into current technologies, tools, and trends in nursing informatics.The updated Sixth Edition provides nurse educators with the necessary tools to transfer the knowledge their students need to succeed in the information age. Rich learning features, including Case Studies, Working Wisdom, and Application Scenarios demonstrate how these technologies can be applied in practice, linking information and knowledge management within a real-world context.Check out what Professor Lynn Duncan had to say about Nursing Informatics and the Foundation of Knowledge, Sixth Edition in her review here. Read more

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. Read more

The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are traditionally taught in disparate courses, making it hard for data science or computer science students, or professionals, to efficiently learn the mathematics. This self contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematical concepts with a minimum of prerequisites. It uses these concepts to derive four central machine learning methods: linear regression, principal component analysis, Gaussian mixture models and support vector machines. For students and others with a mathematical background, these derivations provide a starting point to machine learning texts. For those learning the mathematics for the first time, the methods help build intuition and practical experience with applying mathematical concepts. Every chapter includes worked examples and exercises to test understanding. Programming tutorials are offered on the book's web site. Read more

Unlock the Secrets of AI Deep Learning and Neural Networks: Empower Your Future in Minutes a Day!Ready to dive into the world of artificial intelligence, but don’t know where to start?Whether you're a student, developer, or curious learner, this book takes you on a journey to master deep learning concepts, demystify neural networks, and transform your skills into real-world impact—all at your own pace.Common AI Misconceptions: Busted"AI is too complex for beginners." False! This guide simplifies advanced topics, making them accessible for all."You need a computer science degree to learn AI." Wrong! With hands-on exercises and clear explanations, you’ll build skills step by step."Learning AI takes years." Not anymore! Discover techniques and tools you can master in just minutes a day.What This Book OffersA beginner-friendly approach to AI and machine learning, with foundational concepts demystified.Interactive prompts and exercises powered by ChatGPT for engaging learning.Master the basics of machine learning algorithms and data preprocessing.Real-world case studies in healthcare, finance, robotics, and entertainment.Expert advice on ethical AI practices and career advancement strategies.Delve into neural networks, including convolutional and recurrent architectures.Explore transformers, autoencoders, and the latest advancements in deep learning.Design and deploy projects tailored to your passions, from sentiment analysis to AI-powered chatbots."Whether you're just starting your AI journey or seeking to refine your skills, this guide offers the knowledge, tools, and confidence you need to succeed in today’s AI-driven world."Take the first step toward mastering AI today! Read more

The Bullish Case for Bitcoin, first published as a long-form article, represents an intellectual tour de force delivered with elegance and prescience by a polymath well-versed in mathematics, computer science, economics, philosophy, politics, and engineering. After March of 2020, it was evident to me that the world needed new money based on technology. However, in February 2018, when Boyapati first published his paper, this insight required much greater perspicacity, courage, and conviction.In a clear and concise manner, Boyapati presents the theory of money, the anatomy of Bitcoin, the reasons it is superior to the gold and fiat standards that came before it, and the promise that it offers to human civilization. He describes path dependence and the trajectory of a newly monetizing asset in terms the layman can understand, and he addresses the concerns that most commonly arise as newcomers struggle to comprehend the essence and significance of this first digital monetary network. I was immediately captivated by "The Bullish Case for Bitcoin" when I first read it, and made it part of the recommended reading for all the officers and directors of my firm as we educated ourselves on Bitcoin and considered the logical path forward. In this book, Boyapati updates and significantly expands on the ideas presented in his original article. Read more

Popular science writer Philip Ball explores a range of sciences to map our answers to a huge, philosophically rich question: How do we even begin to think about minds that are not human?   Sciences from zoology to astrobiology, computer science to neuroscience, are seeking to understand minds in their own distinct disciplinary realms. Taking a uniquely broad view of minds and where to find them—including in plants, aliens, and God—Philip Ball pulls the pieces together to explore what sorts of minds we might expect to find in the universe. In so doing, he offers for the first time a unified way of thinking about what minds are and what they can do, by locating them in what he calls the “space of possible minds.” By identifying and mapping out properties of mind without prioritizing the human, Ball sheds new light on a host of fascinating questions: What moral rights should we afford animals, and can we understand their thoughts? Should we worry that AI is going to take over society? If there are intelligent aliens out there, how could we communicate with them? Should we? Understanding the space of possible minds also reveals ways of making advances in understanding some of the most challenging questions in contemporary science: What is thought? What is consciousness? And what (if anything) is free will? Informed by conversations with leading researchers, Ball’s brilliant survey of current views about the nature and existence of minds is more mind-expanding than we could imagine. In this fascinating panorama of other minds, we come to better know our own. Read more

Convex optimization problems arise frequently in many different fields. A comprehensive introduction to the subject, this book shows in detail how such problems can be solved numerically with great efficiency. The focus is on recognizing convex optimization problems and then finding the most appropriate technique for solving them. The text contains many worked examples and homework exercises and will appeal to students, researchers and practitioners in fields such as engineering, computer science, mathematics, statistics, finance, and economics. Read more

Invent Your Own Computer Games with Python will teach you how to make computer games using the popular Python programming language—even if you’ve never programmed before!Begin by building classic games like Hangman, Guess the Number, and Tic-Tac-Toe, and then work your way up to more advanced games, like a text-based treasure hunting game and an animated collision-dodging game with sound effects. Along the way, you’ll learn key programming and math concepts that will help you take your game programming to the next level.Learn how to:–Combine loops, variables, and flow control statements into real working programs–Choose the right data structures for the job, such as lists, dictionaries, and tuples–Add graphics and animation to your games with the pygame module–Handle keyboard and mouse input–Program simple artificial intelligence so you can play against the computer–Use cryptography to convert text messages into secret code–Debug your programs and find common errorsAs you work through each game, you’ll build a solid foundation in Python and an understanding of computer science fundamentals.What new game will you create with the power of Python?The projects in this book are compatible with Python 3. Read more

Do multiple versions of ourselves exist in parallel universes living out their lives in different timelines? In this follow-up to his best seller, The Simulation Hypothesis, MIT computer scientist and Silicon Valley game pioneer Rizwan Virk explores these topics from a new lens: that of simulation theory. If we are living in a simulated universe composed of information that is rendered around us, then many of the complexities and baffling characteristics of our reality start to make more sense. In particular, the two most popular interpretations of quantum mechanics, the Copenhagen interpretation and the Many Worlds interpretation, which are thought to be mutually exclusive, can be unified in an information-based framework. Quantum computing lets us simulate complex phenomena in parallel, allowing the simulation to explore many realities at once to find the most "optimum" path forward. Could this explain not only the enigmatic Mandela effect, but provide us with a new understanding of time and space?Bringing his unique trademark style of combining video games, computer science, quantum physics, and computing with lots of philosophy and science fiction, Virk gives us a new way to think about not just our universe, but all possible timelines in the multiverse! Read more

Proofs play a central role in advanced mathematics and theoretical computer science, yet many students struggle the first time they take a course in which proofs play a significant role. This bestselling text's third edition helps students transition from solving problems to proving theorems by teaching them the techniques needed to read and write proofs. Featuring over 150 new exercises and a new chapter on number theory, this new edition introduces students to the world of advanced mathematics through the mastery of proofs. The book begins with the basic concepts of logic and set theory to familiarize students with the language of mathematics and how it is interpreted. These concepts are used as the basis for an analysis of techniques that can be used to build up complex proofs step by step, using detailed 'scratch work' sections to expose the machinery of proofs about numbers, sets, relations, and functions. Assuming no background beyond standard high school mathematics, this book will be useful to anyone interested in logic and proofs: computer scientists, philosophers, linguists, and, of course, mathematicians. Read more

A new and extensively revised edition of a popular textbook used in universities, coding boot camps, hacker clubs, and online courses. The best way to understand how computers work is to build one from scratch, and this textbook leads learners through twelve chapters and projects that gradually build the hardware platform and software hierarchy for a simple but powerful computer system. In the process, learners gain hands-on knowledge of hardware, architecture, operating systems, programming languages, compilers, data structures and algorithms, and software engineering. Using this constructive approach, the book introduces readers to a significant body of computer science knowledge and synthesizes key theoretical and applied techniques into one constructive framework.The outcome is known known as Nand to Tetris: a journey that starts with the most elementary logic gate, called Nand, and ends, twelve projects later, with a general-purpose computer system capable of running Tetris and any other program that comes to your mind.The first edition of this popular textbook inspired Nand to Tetris classes in many universities, coding boot camps, hacker clubs, and online course platforms. This second edition has been extensively revised. It has been restructured into two distinct parts—Part I, hardware, and Part II, software—with six projects in each part. All chapters and projects have been rewritten, with an emphasis on separating abstraction from implementation, and many new sections, figures, and examples have been added. Substantial new appendixes offer focused presentation on technical and theoretical topics. Read more

Computer science major Sangwoo Choo values reason, routine, and rules above all, so when the rest of his teammates fail to contribute to the group presentation, he doesn’t hesitate to cut everyone’s names from the project entirely―including design major Jaeyoung Jang, which ruins his plans to graduate and study abroad. Jaeyoung is more than happy to return the favor and strives to be the biggest thorn in Sangwoo’s side―but as they spend more time together, a strange attraction begins to develop between them... Will Sangwoo be able to debug this semantic error from his life? Read more

Linear algebra is the foundation of science and engineering. Knowledge of linear algebra is a prerequisite for studying statistics, machine learning, computer graphics, signal processing, chemistry, economics, quantum mechanics, and countless other applications. Indeed, linear algebra offers a powerful toolbox for modelling the real world.The NO BULLSHIT GUIDE TO LINEAR ALGEBRA shows the connections between the computational techniques of linear algebra, their geometric interpretations, and the theoretical foundations. This university-level textbook contains lessons on linear algebra written in a style that is precise and concise. Each concept is illustrated through definitions, formulas, diagrams, explanations, and examples of real-world applications. Readers build their math superpowers by solving practice problems and learning to use the computer algebra system SymPy to speed up tedious matrix arithmetic tasks.“The book explains the concepts in a way that gives a strong intuitive understanding.” — Joe Nestor, student“It’s very well written and a fun read!” — Felix Kwok, professor“I used this book in multiple big data courses when I needed a deeper understanding of the material.” — Zane Zakraisek, studentThe author, Ivan Savov, combines 15 years of tutoring experience with a B.Eng. in electrical engineering, an M.Sc. in physics, and a Ph.D. in computer science from McGill University. Read more

This is the Python version of our book. See the website for links to the C++ and Java version.Have you ever... Wanted to work at an exciting futuristic company?Struggled with an interview problem thatcould have been solved in 15 minutes? Wished you could study real-world computing problems?If so, you need to read Elements of Programming Interviews (EPI).EPI is your comprehensive guide to interviewing for software development roles.The core of EPI is a collection of over 250 problems with detailed solutions. The problems are representative of interview questions asked at leading software companies. The problems are illustrated with 200 figures, 300 tested programs, and 150 additional variants.The book begins with a summary of the nontechnical aspects of interviewing, such as strategies for a great interview, common mistakes, perspectives from the other side of the table, tips on negotiating the best offer, and a guide to the best ways to use EPI. We also provide a summary of data structures, algorithms, and problem solving patterns.Coding problems are presented through a series of chapters on basic and advanced data structures, searching, sorting, algorithm design principles, and concurrency. Each chapter stars with a brief introduction, a case study, top tips, and a review of the most important library methods. This is followed by a broad and thought-provoking set of problems.A practical, fun approach to computer science fundamentals, as seen through the lens of common programming interview questions. Jeff Atwood/Co-founder, Stack Overflow and Discourse Read more

Taken literally, the title "All of Statistics" is an exaggeration. But in spirit, the title is apt, as the book does cover a much broader range of topics than a typical introductory book on mathematical statistics. This book is for people who want to learn probability and statistics quickly. It is suitable for graduate or advanced undergraduate students in computer science, mathematics, statistics, and related disciplines. The book includes modern topics like non-parametric curve estimation, bootstrapping, and classification, topics that are usually relegated to follow-up courses. The reader is presumed to know calculus and a little linear algebra. No previous knowledge of probability and statistics is required. Statistics, data mining, and machine learning are all concerned with collecting and analysing data. Read more

IF SCIENCE REFUSES TO DEAL WITH THIS TOPIC, THEN WHAT IS SCIENCE FOR?
Beginning after the launch of Sputnik and ending with the landing on the moon, the first volume of Jacques Vallee’s journals details how UFOs, in the midst of a proliferation of sightings in the 1960s, became a forbidden science. In this beautifully written journal, Vallee reveals just how the scientific community was misled by the government, how the best data on UFOs was kept hidden, and how the public record was shamelessly manipulated.

JACQUES VALLEE holds a master’s degree in astrophysics and a PhD in computer science. The subject of UFOs first attracted his attention as an astronomer in Paris. He subsequently became a close associate of Project Blue Book’s J. Allen Hynek and has written several books on the UFO enigma. He is presently a venture capitalist living in San Francisco. Read more