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hackercode us critical ops: Elements of Programming Interviews Adnan Aziz, Tsung-Hsien Lee, Amit Prakash, 2012 The core of EPI is a collection of over 300 problems with detailed solutions, including 100 figures, 250 tested programs, and 150 variants. The problems are representative of questions asked at the leading software companies. The book begins with a summary of the nontechnical aspects of interviewing, such as common mistakes, strategies for a great interview, perspectives from the other side of the table, tips on negotiating the best offer, and a guide to the best ways to use EPI. The technical core of EPI is a sequence of chapters on basic and advanced data structures, searching, sorting, broad algorithmic principles, concurrency, and system design. Each chapter consists of a brief review, followed by a broad and thought-provoking series of problems. We include a summary of data structure, algorithm, and problem solving patterns. |
hackercode us critical ops: Cracking the Coding Interview Gayle Laakmann McDowell, 2011 Now in the 5th edition, Cracking the Coding Interview gives you the interview preparation you need to get the top software developer jobs. This book provides: 150 Programming Interview Questions and Solutions: From binary trees to binary search, this list of 150 questions includes the most common and most useful questions in data structures, algorithms, and knowledge based questions. 5 Algorithm Approaches: Stop being blind-sided by tough algorithm questions, and learn these five approaches to tackle the trickiest problems. Behind the Scenes of the interview processes at Google, Amazon, Microsoft, Facebook, Yahoo, and Apple: Learn what really goes on during your interview day and how decisions get made. Ten Mistakes Candidates Make -- And How to Avoid Them: Don't lose your dream job by making these common mistakes. Learn what many candidates do wrong, and how to avoid these issues. Steps to Prepare for Behavioral and Technical Questions: Stop meandering through an endless set of questions, while missing some of the most important preparation techniques. Follow these steps to more thoroughly prepare in less time. |
hackercode us critical ops: Smart and Gets Things Done Avram Joel Spolsky, 2007-10-17 A guide to attracting, recruiting, interviewing, and hiring the best technical talent. A comprehensive system for hiring top–notch technical employees Packed with useful information and specific advice written in a breezy, humorous style Learn how to find great people—and get them to work for you—in an afternoon! The top software developers are ten times more productive than average developers. Ten times. You can't afford not to hire them. But if you haven't been reading Joel Spolsky's books or blog, you probably don't know how to find them and make them want to work for you. In this brief book, Joel reveals all his secrets—from his years at Microsoft, and as the co–founder of Fog Creek Software—for recruiting the best developers in the world. If you've ever wondered what you should be looking for in a resume, if you've ever struggled to decide whether to hire someone at the end ofan interview, or if you're wondering why you can't find great programmers, stop everything and read this book. |
hackercode us critical ops: Cryptography Engineering Niels Ferguson, Bruce Schneier, Tadayoshi Kohno, 2010-03-15 The ultimate guide to cryptography, updated from an author team of the world's top cryptography experts. Cryptography is vital to keeping information safe, in an era when the formula to do so becomes more and more challenging. Written by a team of world-renowned cryptography experts, this essential guide is the definitive introduction to all major areas of cryptography: message security, key negotiation, and key management. You'll learn how to think like a cryptographer. You'll discover techniques for building cryptography into products from the start and you'll examine the many technical changes in the field. After a basic overview of cryptography and what it means today, this indispensable resource covers such topics as block ciphers, block modes, hash functions, encryption modes, message authentication codes, implementation issues, negotiation protocols, and more. Helpful examples and hands-on exercises enhance your understanding of the multi-faceted field of cryptography. An author team of internationally recognized cryptography experts updates you on vital topics in the field of cryptography Shows you how to build cryptography into products from the start Examines updates and changes to cryptography Includes coverage on key servers, message security, authentication codes, new standards, block ciphers, message authentication codes, and more Cryptography Engineering gets you up to speed in the ever-evolving field of cryptography. |
hackercode us critical ops: RESTful Web Services Cookbook Subbu Allamaraju, Subrahmanyam Allamaraju, 2010-03 RESTful Web services may be simpler, more versatile, and more scalable than other Web services, but the REST architecture still requires explanation. Readers get more than 50 recipes to help them solve problems they're likely to face when developing RESTful Web services. |
hackercode us critical ops: Regular Expressions Cookbook Jan Goyvaerts, Steven Levithan, 2012-08-13 Take the guesswork out of using regular expressions. With more than 140 practical recipes, this cookbook provides everything you need to solve a wide range of real-world problems. Novices will learn basic skills and tools, and programmers and experienced users will find a wealth of detail. Each recipe provides samples you can use right away. This revised edition covers the regular expression flavors used by C#, Java, JavaScript, Perl, PHP, Python, Ruby, and VB.NET. You’ll learn powerful new tricks, avoid flavor-specific gotchas, and save valuable time with this huge library of practical solutions. Learn regular expressions basics through a detailed tutorial Use code listings to implement regular expressions with your language of choice Understand how regular expressions differ from language to language Handle common user input with recipes for validation and formatting Find and manipulate words, special characters, and lines of text Detect integers, floating-point numbers, and other numerical formats Parse source code and process log files Use regular expressions in URLs, paths, and IP addresses Manipulate HTML, XML, and data exchange formats Discover little-known regular expression tricks and techniques |
hackercode us critical ops: Coding Interview Questions Narasimha Karumanchi, 2012-05 Coding Interview Questions is a book that presents interview questions in simple and straightforward manner with a clear-cut explanation. This book will provide an introduction to the basics. It comes handy as an interview and exam guide for computer scientists. Programming puzzles for interviews Campus Preparation Degree/Masters Course Preparation Big job hunters: Apple, Microsoft, Google, Amazon, Yahoo, Flip Kart, Adobe, IBM Labs, Citrix, Mentor Graphics, NetApp, Oracle, Webaroo, De-Shaw, Success Factors, Face book, McAfee and many more Reference Manual for working people Topics Covered: Programming BasicsIntroductionRecursion and BacktrackingLinked Lists Stacks Queues Trees Priority Queue and HeapsGraph AlgorithmsSortingSearching Selection Algorithms [Medians] Symbol TablesHashing String Algorithms Algorithms Design Techniques Greedy Algorithms Divide and Conquer Algorithms Dynamic Programming Complexity Classes Design Interview Questions Operating System Concepts Computer Networking Basics Database Concepts Brain Teasers NonTechnical Help Miscellaneous Concepts Note: If you already have Data Structures and Algorithms Made Easy no need to buy this. |
hackercode us critical ops: Object Oriented Programming with C++ Sourav Sahay, 2012 |
hackercode us critical ops: MySQL Cookbook Paul DuBois, 2003 DuBois organizes his cookbook's recipes into sections on the problem, the solution stated simply, and the solution implemented in code and discussed. The implementation and discussion sections are the most valuable, as they contain the command sequences, code listings, and design explanations that can be transferred to outside projects. |
hackercode us critical ops: C# in Depth Jonathan Skeet, 2019-03-07 Effective techniques and experienced insights to maximize your C# 6 and 7 programming skills Key Features Written by C# legend and top StackOverflow contributor Jon Skeet Unlock the new features of C# 6 and 7 Insights on the future of the C# language Master asynchronous functions, interpolated strings, tuples, and more Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. ”An excellent overview of C# with helpful and realistic examples that make learning the newest features of C# easy.” —Meredith Godar About The Book C# is the foundation of .NET development. New features added in C# 6 and 7 make it easier to take on big data applications, cloud-centric web development, and cross-platform software using .NET Core. Packed with deep insight from C# guru Jon Skeet, this book takes you deep into concepts and features other C# books ignore. C# in Depth, Fourth Edition is an authoritative and engaging guide that reveals the full potential of the language, including the new features of C# 6 and 7. It combines deep dives into the C# language with practical techniques for enterprise development, web applications, and systems programming. As you absorb the wisdom and techniques in this book, you’ll write better code, and become an exceptional troubleshooter and problem solver. What You Will Learn Comprehensive guidance on the new features of C# 6 and 7 Important legacies and greatest hits of C# 2–5 Expression-bodied members Extended pass-by-reference functionality Writing asynchronous C# code String interpolation Composition with tuples Decomposition and pattern matching This Book Is Written For For intermediate C# developers. About The Author Jon Skeet is a senior software engineer at Google. He studied mathematics and computer science at Cambridge, is a recognized authority in Java and C#, and maintains the position of top contributor to Stack Overflow. Table of Contents 1. Survival of the sharpest 2. C# 2 3. C# 3: LINQ and everything that comes with it 4. C# 4: Improving interoperability 5. Writing asynchronous code 6. Async implementation 7. C# 5 bonus features 8. Super-sleek properties and expression-bodied members 9. Stringy features 10. A smörgåsbord of features for concise code 11. Composition using tuples 12. Deconstruction and pattern matching 13. Improving efficiency with more pass by reference 14. Concise code in C# 7 15. C# 8 and beyond PART 1 C# IN CONTEXT PART 2 C# 2–5 PART 3 C# 6 PART 4 C# 7 AND BEYOND |
hackercode us critical ops: Programming Challenges Steven S Skiena, Miguel A. Revilla, 2006-04-18 There are many distinct pleasures associated with computer programming. Craftsmanship has its quiet rewards, the satisfaction that comes from building a useful object and making it work. Excitement arrives with the flash of insight that cracks a previously intractable problem. The spiritual quest for elegance can turn the hacker into an artist. There are pleasures in parsimony, in squeezing the last drop of performance out of clever algorithms and tight coding. The games, puzzles, and challenges of problems from international programming competitions are a great way to experience these pleasures while improving your algorithmic and coding skills. This book contains over 100 problems that have appeared in previous programming contests, along with discussions of the theory and ideas necessary to attack them. Instant online grading for all of these problems is available from two WWW robot judging sites. Combining this book with a judge gives an exciting new way to challenge and improve your programming skills. This book can be used for self-study, for teaching innovative courses in algorithms and programming, and in training for international competition. The problems in this book have been selected from over 1,000 programming problems at the Universidad de Valladolid online judge. The judge has ruled on well over one million submissions from 27,000 registered users around the world to date. We have taken only the best of the best, the most fun, exciting, and interesting problems available. |
hackercode us critical ops: Think Like a Programmer V. Anton Spraul, 2012-08-12 The real challenge of programming isn't learning a language's syntax—it's learning to creatively solve problems so you can build something great. In this one-of-a-kind text, author V. Anton Spraul breaks down the ways that programmers solve problems and teaches you what other introductory books often ignore: how to Think Like a Programmer. Each chapter tackles a single programming concept, like classes, pointers, and recursion, and open-ended exercises throughout challenge you to apply your knowledge. You'll also learn how to: –Split problems into discrete components to make them easier to solve –Make the most of code reuse with functions, classes, and libraries –Pick the perfect data structure for a particular job –Master more advanced programming tools like recursion and dynamic memory –Organize your thoughts and develop strategies to tackle particular types of problems Although the book's examples are written in C++, the creative problem-solving concepts they illustrate go beyond any particular language; in fact, they often reach outside the realm of computer science. As the most skillful programmers know, writing great code is a creative art—and the first step in creating your masterpiece is learning to Think Like a Programmer. |
hackercode us critical ops: Programming Interviews Exposed John Mongan, Noah Kindler, Eric Gigu?re, 2008-03-31 The pressure is on during the interview process but with the right preparation, you can walk away with your dream job. This classic book uncovers what interviews are really like at America's top software and computer companies and provides you with the tools to succeed in any situation. The authors take you step-by-step through new problems and complex brainteasers they were asked during recent technical interviews. 50 interview scenarios are presented along with in-depth analysis of the possible solutions. The problem-solving process is clearly illustrated so you'll be able to easily apply what you've learned during crunch time. You'll also find expert tips on what questions to ask, how to approach a problem, and how to recover if you become stuck. All of this will help you ace the interview and get the job you want. What you will learn from this book Tips for effectively completing the job application Ways to prepare for the entire programming interview process How to find the kind of programming job that fits you best Strategies for choosing a solution and what your approach says about you How to improve your interviewing skills so that you can respond to any question or situation Techniques for solving knowledge-based problems, logic puzzles, and programming problems Who this book is for This book is for programmers and developers applying for jobs in the software industry or in IT departments of major corporations. Wrox Beginning guides are crafted to make learning programming languages and technologies easier than you think, providing a structured, tutorial format that will guide you through all the techniques involved. |
hackercode us critical ops: Beginning Programming with Python For Dummies John Paul Mueller, 2018-02-13 The easy way to learn programming fundamentals with Python Python is a remarkably powerful and dynamic programming language that's used in a wide variety of application domains. Some of its key distinguishing features include a very clear, readable syntax, strong introspection capabilities, intuitive object orientation, and natural expression of procedural code. Plus, Python features full modularity, supporting hierarchical packages, exception-based error handling, and modules easily written in C, C++, Java, R, or .NET languages, such as C#. In addition, Python supports a number of coding styles that include: functional, imperative, object-oriented, and procedural. Due to its ease of use and flexibility, Python is constantly growing in popularity—and now you can wear your programming hat with pride and join the ranks of the pros with the help of this guide. Inside, expert author John Paul Mueller gives a complete step-by-step overview of all there is to know about Python. From performing common and advanced tasks, to collecting data, to interacting with package—this book covers it all! Use Python to create and run your first application Find out how to troubleshoot and fix errors Learn to work with Anaconda and use Magic Functions Benefit from completely updated and revised information since the last edition If you've never used Python or are new to programming in general, Beginning Programming with Python For Dummies is a helpful resource that will set you up for success. |
hackercode us critical ops: Mining the Social Web Matthew Russell, 2011-01-21 Facebook, Twitter, and LinkedIn generate a tremendous amount of valuable social data, but how can you find out who's making connections with social media, what they’re talking about, or where they’re located? This concise and practical book shows you how to answer these questions and more. You'll learn how to combine social web data, analysis techniques, and visualization to help you find what you've been looking for in the social haystack, as well as useful information you didn't know existed. Each standalone chapter introduces techniques for mining data in different areas of the social Web, including blogs and email. All you need to get started is a programming background and a willingness to learn basic Python tools. Get a straightforward synopsis of the social web landscape Use adaptable scripts on GitHub to harvest data from social network APIs such as Twitter, Facebook, and LinkedIn Learn how to employ easy-to-use Python tools to slice and dice the data you collect Explore social connections in microformats with the XHTML Friends Network Apply advanced mining techniques such as TF-IDF, cosine similarity, collocation analysis, document summarization, and clique detection Build interactive visualizations with web technologies based upon HTML5 and JavaScript toolkits Let Matthew Russell serve as your guide to working with social data sets old (email, blogs) and new (Twitter, LinkedIn, Facebook). Mining the Social Web is a natural successor to Programming Collective Intelligence: a practical, hands-on approach to hacking on data from the social Web with Python. --Jeff Hammerbacher, Chief Scientist, Cloudera A rich, compact, useful, practical introduction to a galaxy of tools, techniques, and theories for exploring structured and unstructured data. --Alex Martelli, Senior Staff Engineer, Google |
hackercode us critical ops: A Smarter Way to Learn Python Mark Myers, 2017-08-09 I designed a learning system for myself that quadrupled my aptitude for learning computer languages. It worked so well for me that I've used it to teach coding to grandmothers, cab drivers, musicians, and 50,000 other newbies. Washington University research shows that a key teaching method I use--interactive recall practice--improves learning performance 400 percent. Computer languages are not inherently hard to understand, even for non-techies. Remembering is the problem. Research shows that you will remember everything if you're repeatedly asked to recall it. That's the beauty of flash cards. But technology offers an even better way to make information stick. With my book you get almost a thousand interactive exercises--they're free online--that embed the whole book in your memory. Algorithms check your work to make sure you know what you think you know. When you stumble, you do the exercise again. You keep trying until you know the chapter cold. The exercises keep you engaged, give you extra practice where you're shaky, and prepare you for each next step. Every lesson is built on top of a solid foundation that you and I have carefully constructed. Each individual step is small. But all the little steps add up to real knowledge--knowledge that you retain. You don't need to be a computer genius to learn Python. You just need to be smart about how you learn it.--Amazon.com description. |
hackercode us critical ops: Software Architecture in Practice Len Bass, Paul Clements, Rick Kazman, 2003 This is the eagerly-anticipated revision to one of the seminal books in the field of software architecture which clearly defines and explains the topic. |
hackercode us critical ops: The Elements of Computing Systems Noam Nisan, Shimon Schocken, 2005 This title gives students an integrated and rigorous picture of applied computer science, as it comes to play in the construction of a simple yet powerful computer system. |
hackercode us critical ops: Programming Languages: Concepts and Implementation Saverio Perugini, 2021-12-02 Programming Languages: Concepts and Implementation teaches language concepts from two complementary perspectives: implementation and paradigms. It covers the implementation of concepts through the incremental construction of a progressive series of interpreters in Python, and Racket Scheme, for purposes of its combined simplicity and power, and assessing the differences in the resulting languages. |
hackercode us critical ops: IoT Standards with Blockchain Venkatesh Upadrista, 2021-09-18 Implement a standardized end-to-end IoT implementation based on best practices and proven successes in IoT across multiple industries. With this book you'll discover the three business strategies for enterprises to adopt and remain relevant in the marketspace —the Customer Engagement strategy, the Business Transformation strategy, and the Business Productivity Improvement strategy. Pick the right strategy for your enterprise to ensure a clear mission and vision is established based on which IoT roadmap can be defined. Subsequently all business processes pertaining to the chosen business strategy are investigated to define use cases where IoT can be adopted to achieve that business strategy. Start by learning the generic industry perspective on digital transformation using IoT. Then move on to the IoT Standards Reference Model. It’s an abstract framework consisting of an interlinked set of clearly defined components for enterprises to successfully implement an IoT solution. The IoT Standards Reference Model can be applied for IoT use cases across any industry and is kept abstract in order to enable many, potentially different, IoT architectures to be implemented based on the model. With IoT thoroughly covered, you’ll dive into Blockchain and AI technology. This book will discuss the importance of using private blockchains for IoT use cases. You’ll also discover the five IoT-Blockchain implementation patterns that enterprises can enable for seamless communication between IoT devices, IoT Smart Gateways, and IoT platforms. These patterns help achieve trust, interoperability, and extendibility. Then you’ll work with AI and the IoT Standards Reference Model. The reference model recommends applying AI patterns to generate insights from data and take appropriate actions automatically. IoT Standards with Blockchain also provides perspective on how and when to apply AI in an IoT Context. In the end, you’ll have a solid methodology to execute large scale, enterprise-level IoT implementations. You’ll have an enterprise digital transformation framework for IoT that will enable your enterprise to operate better. What You'll Learn Facilitate IoT interoperability with best practices Implement IoT platform security Feed data and analytics to AI models Who This Book Is For C-suite leaders and IT program managers across all industries, including manufacturing (Industry 4.0), logistics, oil and gas, transportation, energy, mining and metals, aviation, pharmaceuticals, medical devices, and hospitality. |
hackercode us critical ops: Think Data Structures Allen Downey, 2017-07-07 If you’re a student studying computer science or a software developer preparing for technical interviews, this practical book will help you learn and review some of the most important ideas in software engineering—data structures and algorithms—in a way that’s clearer, more concise, and more engaging than other materials. By emphasizing practical knowledge and skills over theory, author Allen Downey shows you how to use data structures to implement efficient algorithms, and then analyze and measure their performance. You’ll explore the important classes in the Java collections framework (JCF), how they’re implemented, and how they’re expected to perform. Each chapter presents hands-on exercises supported by test code online. Use data structures such as lists and maps, and understand how they work Build an application that reads Wikipedia pages, parses the contents, and navigates the resulting data tree Analyze code to predict how fast it will run and how much memory it will require Write classes that implement the Map interface, using a hash table and binary search tree Build a simple web search engine with a crawler, an indexer that stores web page contents, and a retriever that returns user query results Other books by Allen Downey include Think Java, Think Python, Think Stats, and Think Bayes. |
hackercode us critical ops: Python Programming in Context Julie Anderson, Jon Anderson, 2024-04-15 Python Programming in Context, Fourth Edition provides a comprehensive and accessible introduction to Python fundamentals. Updated with Python 3.10, the Fourth Edition offers a thorough overview of multiple applied areas, including image processing, cryptography, astronomy, the Internet, and bioinformatics. Taking an active learning approach, each chapter starts with a comprehensive real-world project that teaches core design techniques and Python programming to immediately engage students. An ideal first language for learners entering the rapidly expanding fields of computer science, data science, and scientific programing, Python gives students a solid platform of key problem-solving skills that translate easily across programming languages. This text is designed to be a first course in computer science that focuses on problem-solving, with language features being introduced as needed to solve the problem at hand. |
hackercode us critical ops: Grokking Algorithms Aditya Bhargava, 2016-05-12 This book does the impossible: it makes math fun and easy! - Sander Rossel, COAS Software Systems Grokking Algorithms is a fully illustrated, 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. Each carefully presented example includes helpful diagrams and fully annotated code samples in Python. Learning about algorithms doesn't have to be boring! Get a sneak peek at the fun, illustrated, and friendly examples you'll find in Grokking Algorithms on Manning Publications' YouTube channel. Continue your journey into the world of algorithms with Algorithms in Motion, a practical, hands-on video course available exclusively at Manning.com (www.manning.com/livevideo/algorithms-?in-motion). Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology 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 fully illustrated and engaging guide makes it easy to learn how to use the most important algorithms effectively in your own programs. About the Book Grokking Algorithms is a friendly take on this core computer science topic. In it, you'll learn how to apply common algorithms to the practical programming problems you face every day. You'll start with tasks like sorting and searching. As you build up your skills, you'll tackle more complex problems like data compression and artificial intelligence. Each carefully presented example includes helpful diagrams and fully annotated code samples in Python. By the end of this book, you will have mastered widely applicable algorithms as well as how and when to use them. What's Inside Covers search, sort, and graph algorithms Over 400 pictures with detailed walkthroughs Performance trade-offs between algorithms Python-based code samples About the Reader This easy-to-read, picture-heavy introduction is suitable for self-taught programmers, engineers, or anyone who wants to brush up on algorithms. About the Author Aditya Bhargava is a Software Engineer with a dual background in Computer Science and Fine Arts. He blogs on programming at adit.io. Table of Contents Introduction to algorithms Selection sort Recursion Quicksort Hash tables Breadth-first search Dijkstra's algorithm Greedy algorithms Dynamic programming K-nearest neighbors |
hackercode us critical ops: Optimized C++ Kurt Guntheroth, 2016-04-27 In today’s fast and competitive world, a program’s performance is just as important to customers as the features it provides. This practical guide teaches developers performance-tuning principles that enable optimization in C++. You’ll learn how to make code that already embodies best practices of C++ design run faster and consume fewer resources on any computer—whether it’s a watch, phone, workstation, supercomputer, or globe-spanning network of servers. Author Kurt Guntheroth provides several running examples that demonstrate how to apply these principles incrementally to improve existing code so it meets customer requirements for responsiveness and throughput. The advice in this book will prove itself the first time you hear a colleague exclaim, “Wow, that was fast. Who fixed something?” Locate performance hot spots using the profiler and software timers Learn to perform repeatable experiments to measure performance of code changes Optimize use of dynamically allocated variables Improve performance of hot loops and functions Speed up string handling functions Recognize efficient algorithms and optimization patterns Learn the strengths—and weaknesses—of C++ container classes View searching and sorting through an optimizer’s eye Make efficient use of C++ streaming I/O functions Use C++ thread-based concurrency features effectively |
hackercode us critical ops: Touch of Class Bertrand Meyer, 2009-06-29 From object technology pioneer and ETH Zurich professor Bertrand Meyer, winner of the Jolt award and the ACM Software System Award, a revolutionary textbook that makes learning programming fun and rewarding. Meyer builds his presentation on a rich object-oriented software system supporting graphics and multimedia, which students can use to produce impressive applications from day one, then understand inside out as they learn new programming techniques. Unique to Touch of Class is a combination of a practical, hands-on approach to programming with the introduction of sound theoretical support focused on helping students learn the construction of high quality software. The use of full color brings exciting programming concepts to life. Among the useful features of the book is the use of Design by Contract, critical to software quality and providing a gentle introduction to formal methods. Will give students a major advantage by teaching professional-level techniques in a literate, relaxed and humorous way. |
hackercode us critical ops: The Quants Scott Patterson, 2010-02-02 With the immediacy of today’s NASDAQ close and the timeless power of a Greek tragedy, The Quants is at once a masterpiece of explanatory journalism, a gripping tale of ambition and hubris, and an ominous warning about Wall Street’s future. In March of 2006, four of the world’s richest men sipped champagne in an opulent New York hotel. They were preparing to compete in a poker tournament with million-dollar stakes, but those numbers meant nothing to them. They were accustomed to risking billions. On that night, these four men and their cohorts were the new kings of Wall Street. Muller, Griffin, Asness, and Weinstein were among the best and brightest of a new breed, the quants. Over the prior twenty years, this species of math whiz--technocrats who make billions not with gut calls or fundamental analysis but with formulas and high-speed computers--had usurped the testosterone-fueled, kill-or-be-killed risk-takers who’d long been the alpha males the world’s largest casino. The quants helped create a digitized money-trading machine that could shift billions around the globe with the click of a mouse. Few realized, though, that in creating this unprecedented machine, men like Muller, Griffin, Asness and Weinstein had sowed the seeds for history’s greatest financial disaster. Drawing on unprecedented access to these four number-crunching titans, The Quants tells the inside story of what they thought and felt in the days and weeks when they helplessly watched much of their net worth vaporize--and wondered just how their mind-bending formulas and genius-level IQ’s had led them so wrong, so fast. |
hackercode us critical ops: Learning Java Patrick Niemeyer, Jonathan Knudsen, 2002 This updated edition introduces the basics of Java and everything necessary to get up to speed on the new 1.4 version quickly. CD contains the Java 2 SDK for Windows, Linux and Solaris. |
hackercode us critical ops: You Don't Know JS: Scope & Closures Kyle Simpson, 2014-03-10 No matter how much experience you have with JavaScript, odds are you don’t fully understand the language. This concise yet in-depth guide takes you inside scope and closures, two core concepts you need to know to become a more efficient and effective JavaScript programmer. You’ll learn how and why they work, and how an understanding of closures can be a powerful part of your development skillset. Like other books in the You Don’t Know JS series, Scope and Closures dives into trickier parts of the language that many JavaScript programmers simply avoid. Armed with this knowledge, you can achieve true JavaScript mastery. Learn about scope, a set of rules to help JavaScript engines locate variables in your code Go deeper into nested scope, a series of containers for variables and functions Explore function- and block-based scope, “hoisting”, and the patterns and benefits of scope-based hiding Discover how to use closures for synchronous and asynchronous tasks, including the creation of JavaScript libraries |
hackercode us critical ops: Understanding and Using C Pointers Richard M Reese, 2013-05 Improve your programming through a solid understanding of C pointers and memory management. With this practical book, you’ll learn how pointers provide the mechanism to dynamically manipulate memory, enhance support for data structures, and enable access to hardware. Author Richard Reese shows you how to use pointers with arrays, strings, structures, and functions, using memory models throughout the book. Difficult to master, pointers provide C with much flexibility and power—yet few resources are dedicated to this data type. This comprehensive book has the information you need, whether you’re a beginner or an experienced C or C++ programmer or developer. Get an introduction to pointers, including the declaration of different pointer types Learn about dynamic memory allocation, de-allocation, and alternative memory management techniques Use techniques for passing or returning data to and from functions Understand the fundamental aspects of arrays as they relate to pointers Explore the basics of strings and how pointers are used to support them Examine why pointers can be the source of security problems, such as buffer overflow Learn several pointer techniques, such as the use of opaque pointers, bounded pointers and, the restrict keyword |
hackercode us critical ops: Developer Relations Caroline Lewko, James Parton, 2021-09-16 Increasingly, business leaders are either looking to start a new developer program at their company or looking to increase the impact of their existing DevRel program. In this context, software developers are finally recognized as legitimate decision makers in the technology buying process, regardless of the size of their organization. New companies are appearing with the sole purpose of making tools for developers, and even companies whose primary focus was elsewhere are waking up to the developer opportunity. Even as the need and demand for DevRel has grown, there are still re-occurring challenges for DevRel leaders. It is these challenges that this book addresses, covering all aspects of a DevRel program. It is an essential reference to professionalize the practice of developer relations by providing you with strategic, repeatable, and adoptable frameworks, processes, and tools, including developer segmentation and personas, and developer experience frameworks. In Developer Relations, you’ll find the answers to the following questions: How do we convince stakeholders to support a program? How do we go about creating a program? How do we make developers aware of our offer? How do we stand out from the crowd? How do we get developers to use our products? How do we ensure developers are successful using our products? How do we measure success? How do we maintain the support of our stakeholders? After reading this book you’ll have a clear definition of what developer relations is, the type of companies that engage in DevRel, and the scope and business models involved. What You Will Learn Discover what developer relations is and how it contributes to a company’s success Launch a DevRel program Operate a successful program Measure the success of your program Manage stakeholders Who This Book Is For Those interested in starting a new developer program or looking to increase the impact of their existing one. From executives to investors, from marketing professionals to engineers, all will find this book useful to realize the impact of developer relations. |
hackercode us critical ops: 97 Things Every Programmer Should Know Kevlin Henney, 2010-02-05 Tap into the wisdom of experts to learn what every programmer should know, no matter what language you use. With the 97 short and extremely useful tips for programmers in this book, you'll expand your skills by adopting new approaches to old problems, learning appropriate best practices, and honing your craft through sound advice. With contributions from some of the most experienced and respected practitioners in the industry--including Michael Feathers, Pete Goodliffe, Diomidis Spinellis, Cay Horstmann, Verity Stob, and many more--this book contains practical knowledge and principles that you can apply to all kinds of projects. A few of the 97 things you should know: Code in the Language of the Domain by Dan North Write Tests for People by Gerard Meszaros Convenience Is Not an -ility by Gregor Hohpe Know Your IDE by Heinz Kabutz A Message to the Future by Linda Rising The Boy Scout Rule by Robert C. Martin (Uncle Bob) Beware the Share by Udi Dahan |
hackercode us critical ops: Calculus Revisited R.W. Carroll, 2002-12-31 In this book the details of many calculations are provided for access to work in quantum groups, algebraic differential calculus, noncommutative geometry, fuzzy physics, discrete geometry, gauge theory, quantum integrable systems, braiding, finite topological spaces, some aspects of geometry and quantum mechanics and gravity. |
hackercode us critical ops: Cracking the Data Science Interview Maverick Lin, 2019-12-17 Cracking the Data Science Interview is the first book that attempts to capture the essence of data science in a concise, compact, and clean manner. In a Cracking the Coding Interview style, Cracking the Data Science Interview first introduces the relevant concepts, then presents a series of interview questions to help you solidify your understanding and prepare you for your next interview. Topics include: - Necessary Prerequisites (statistics, probability, linear algebra, and computer science) - 18 Big Ideas in Data Science (such as Occam's Razor, Overfitting, Bias/Variance Tradeoff, Cloud Computing, and Curse of Dimensionality) - Data Wrangling (exploratory data analysis, feature engineering, data cleaning and visualization) - Machine Learning Models (such as k-NN, random forests, boosting, neural networks, k-means clustering, PCA, and more) - Reinforcement Learning (Q-Learning and Deep Q-Learning) - Non-Machine Learning Tools (graph theory, ARIMA, linear programming) - Case Studies (a look at what data science means at companies like Amazon and Uber) Maverick holds a bachelor's degree from the College of Engineering at Cornell University in operations research and information engineering (ORIE) and a minor in computer science. He is the author of the popular Data Science Cheatsheet and Data Engineering Cheatsheet on GCP and has previous experience in data science consulting for a Fortune 500 company focusing on fraud analytics. |
hackercode us critical ops: Cracking the Behavioral Interview Questions Nazanin Bakhshi, Pooya Amini, 2019-11-17 Over the past several years of interviewing candidates, we have come across a large number of talented engineers who have excellent technical competencies but also have considerable discomfort in explaining the details of a current project and how its design challenges were resolved. In this book, we have collected the behavioral questions most frequently presented in software engineering interviews. We provided strategies for addressing each question, followed by sample responses from engineers currently working in large tech companies. This collection has been validated with a number of hiring managers to ensure that the dialogues are aligned with their expectations. |
hackercode us critical ops: Abstract Reasoning Tests How2become, 2017-02-08 KEY CONTENTS OF THIS GUIDE INCLUDE: - Contains invaluable tips on how to prepare for abstract reasoning tests; - Written by an expert in this field in conjunction with recruitment experts; - Contains lots of sample test questions and answers. |
hackercode us critical ops: Seamless Object-oriented Software Architecture Kim Walden, Jean-Marc Nerson, 1995 In the demanding world of software development, the object-oriented technique stands out in its potential for software reuse and in its potential to turn the analysis, design and implementation of general software systems into a truly seamless process. This book focuses on Business Object Notation approach and includes case studies, exercises and comprehensive appendices. |
hackercode us critical ops: Advanced PHP Programming George Schlossnagle, 2004 PHP has exploded in popularity, and is now starting to make inroads into large-scale business-critical Web systems. Schlossnagle provides a definitive guide to developing PHP applications for performance, stability and extensibility. |
hackercode us critical ops: Determine Your Worth Nafeez Imtiaz, 2021-08-27 If You Knew What You Were Worth, Would You Settle For Anything Less? Do you have dreams of living a confident, empowered, and happy life but you hear - I am not good enough, I am not worthy, I don't have the confidence, People will judge me, What about my past, I will never be able to move on, I am not lovable. If you've ever felt like you weren't good enough, smart enough, pretty enough, thin enough, strong enough, worthy enough or doing enough, this book is for you! This guide helps you determine who you are, what you want, and how to get there with exercises and tools drawn from both professional experience and evidence-based psychology. If you want to love yourself deeply, feel worthy of the life of your dreams, let go of limiting beliefs and pains from the past, while stepping into your own power, sensuality, and sovereignty, you need to read this book thoroughly. You will be able to observe the faulty thoughts, lies, and fears that you've held for so long. In so doing, you will be placed at the start of a rewarding journey to healing. As a result of this journey, you will be the one with the power. |
hackercode us critical ops: Data Structures Succinctly Robert Horvick, 2017-02-06 Data Structures Succinctly Part 1 is your first step to a better understanding of the different types of data structures, how they behave, and how to interact with them. Starting with simple linked lists and arrays, and then moving to more complex structures like binary search trees and sets, author Robert Horvick explains what each structure's methods and classes are and the algorithms behind them. Horvick goes a step further to detail their operational and resource complexity, ensuring that you have a clear understanding of what using a specific data structure entails. The book also features downloadable code samples and vivid diagrams to help you visualize the more abstract structures and algorithms. |
hackercode us critical ops: Data Structures Using C Reema Thareja, 2014 |
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