Coding Puzzles 2nd Edition

A hands-on, problem-based introduction to building algorithms and data structures to solve problems with a computer. Algorithmic Thinking will teach you how to solve challenging programming problems and design your own algorithms. Daniel Zingaro, a master teacher, draws his examples from world-class programming competitions like USACO and IOI. You'll learn how to classify problems, choose data structures, and identify appropriate algorithms. You'll also learn how your choice of data structure, whether a hash table, heap, or tree, can affect runtime and speed up your algorithms; and how to adopt powerful strategies like recursion, dynamic programming, and binary search to solve challenging problems. Line-by-line breakdowns of the code will teach you how to use algorithms and data structures like: The breadth-first search algorithm to find the optimal way to play a board game or find the best way to translate a book Dijkstra's algorithm to determine how many mice can exit a maze or the number of fastest routes between two locations The union-find data structure to answer questions about connections in a social network or determine who are friends or enemies The heap data structure to determine the amount of money given away in a promotion The hash-table data structure to determine whether snowflakes are unique or identify compound words in a dictionary NOTE: Each problem in this book is available on a programming-judge website. You'll find the site's URL and problem ID in the description. What's better than a free correctness check?

If you are preparing the programming interview for a software engineer position, you might want to look at this book. Make sure you have basic knowledge of data structure and algorithm, because this book is mostly focus on how to resolve the coding puzzles with existing data structure and algorithm. If you need some refresh of data structure and algorithm, there is a good book you might want to take a look first, by Thomas H. Cormen. What the 2nd edition brings to you: 1.136 problems in Recursion, Divid and Conquer, Binary Search, Tree Traversal, Graph Traversal, Dynamic Programming, String Search etc, which is more than enough for preparing a software engineer interview. Every puzzle contains a detailed explanation and some implementations. 2.An Appendix in the end of this book for designing question preparation. This appendix includes some selected papers, books I had read in the past two years. And I think this is the most important change in the second edition. Learning what current industry does and keeping improving the design skill will help yourself in a long-term career. Again, this book is used to present how to analysis a problem and link the inside the challenge with some existing algrithoms. The goal of this book is to improve the problem solving ability, not to be a collection of latest interview questions from Facebook, Google etc. Hope this book can help you get your desired offer.

Real coding for complete beginners. Join Matthew MacDonald, author of too-many-tech-books-to-count, as he enters the world of JavaScript-accompanied by friendly ninjas, cheating goblins, and at least one rude wizard. Develop your skills with 35 interactive exercises on CodePen. Best of all, there's no setup required (a web browser is all you need). Who needs another book about coding for kids? These days, you can't turn around twice without someone trying to teach you how to code. So why the heck did I write my own book? When my daughters started learning to code, I discovered that most tutorials were as dry as dust. If you wanted something more fun, you could play a coding game and write commands to move a character around a maze. But unlike real programming, there was no chance to be creative. There was no freedom. There was no invitation to build your own programs. Here's what makes this book different: Hands-on practice. If you want to learn a new skill, you need to practice. Otherwise, it's just a bunch of theory swimming around in your head. Friendly for beginners. If you're a beginner, it's not enough to learn the basics of a programming language like JavaScript. You also need to learn the concepts of programming at the same time. No setup required. The world is full of amazing frameworks, tools, and code editors. But who wants to install a bunch of software before you even get started? Tiny. I'm a programming nerd, so I like talking about things like Big O notation. But no one needs to be buried in theory at the start of their journey. In this book, every chapter is a bite-sized lesson that you can usually finish in one sitting. Kinda fun. Not everyone has the motivation to learn from an old-fashioned textbook. But who doesn't want to play dice with a cheating goblin? So I decided to make something of my own. Then I unleashed it on my family. This is the result of those experiments. Why JavaScript? JavaScript is a great first language for people learning to code. It's not because JavaScript is a great teaching language (it mostly isn't). It's because JavaScript is everywhere-on every operating system, every browser, and almost every electronic device that's more complicated than a toaster. That means you can effortlessly share your JavaScript programs with friends. Unlike all the rest of computing history, there's no downloading, installing, or configuring. And it doesn't hurt that JavaScript syntax is similar to many other professional languages, like Java and C#. That means the effort you spend to learn JavaScript is never wasted. Can adults read this book? Most certainly! However, this book assumes you're learning JavaScript and programming for the first time. If you already know a bit about programming, you'll probably prefer a guide that focuses on the JavaScript language without re-introducing the concepts you already know.

Widely considered one of the best practical guides to programming, Steve McConnell’s original CODE COMPLETE has been helping developers write better software for more than a decade. Now this classic book has been fully updated and revised with leading-edge practices—and hundreds of new code samples—illustrating the art and science of software construction. Capturing the body of knowledge available from research, academia, and everyday commercial practice, McConnell synthesizes the most effective techniques and must-know principles into clear, pragmatic guidance. No matter what your experience level, development environment, or project size, this book will inform and stimulate your thinking—and help you build the highest quality code. Discover the timeless techniques and strategies that help you: Design for minimum complexity and maximum creativity Reap the benefits of collaborative development Apply defensive programming techniques to reduce and flush out errors Exploit opportunities to refactor—or evolve—code, and do it safely Use construction practices that are right-weight for your project Debug problems quickly and effectively Resolve critical construction issues early and correctly Build quality into the beginning, middle, and end of your project

Get in the game and learn essential computer algorithms by solving competitive programming problems, in the fully revised second edition of the bestselling original. (Still no math required!) Are you hitting a wall with data structures and algorithms? Whether you’re a student prepping for coding interviews or an independent learner, this book is your essential guide to efficient problem-solving in programming. UNLOCK THE POWER OF DATA STRUCTURES & ALGORITHMS: Learn the intricacies of hash tables, recursion, dynamic programming, trees, graphs, and heaps. Become proficient in choosing and implementing the best solutions for any coding challenge. REAL-WORLD, COMPETITION-PROVEN CODE EXAMPLES: The programs and challenges in this book aren’t just theoretical—they’re drawn from real programming competitions. Train with problems that have tested and honed the skills of coders around the world. GET INTERVIEW-READY: Prepare yourself for coding interviews with practice exercises that help you think algorithmically, weigh different solutions, and implement the best choices efficiently. WRITTEN IN C, USEFUL ACROSS LANGUAGES: The code examples are written in C and designed for clarity and accessibility to those familiar with languages like C++, Java, or Python. If you need help with the C code, no problem: We’ve got recommended reading, too. Algorithmic Thinking is the complete package, providing the solid foundation you need to elevate your coding skills to the next level.

Howard and LeBlanc (both are security experts with Microsoft) discuss the need for security and outline its general principles before outlining secure coding techniques. Testing, installation, documentation, and error messages are also covered. Appendices discuss dangerous APIs, dismiss pathetic excuses, and provide security checklists. The book explains how systems can be attacked, uses anecdotes to illustrate common mistakes, and offers advice on making systems secure. Annotation copyrighted by Book News, Inc., Portland, OR.

If you want to learn how to program but dont know where to start, this is the right book and the right language for you. From the first page, our self-paced approach will help you build competence and confidence in your programming skills. And Python is the best language ever for learning how to program because of its simplicity and breadthtwo features that are hard to find in a single language. But this isnt just a book for beginners! Our self-paced approach also works for experienced programmers, helping you learn Python faster and better than youve ever learned a language before. By the time youre through, you will have mastered the key Python skills that are needed on the job, including those for object-oriented, database, and GUI programming. To make all of this possible, section 1 presents an 8-chapter course that will get anyone off to a great start with Python. Section 2 builds on that base by presenting the other essential skills that every Python programmer should have. Section 3 shows you how to develop object-oriented programs, a critical skillset in todays world. And section 4 shows you how to apply all of the skills that youve already learned as you build database and GUI programs for the real world.

The previous version was a great collection of funny puzzles and it proved its value. Since the previous book is already quite thick, instead of keeping adding more puzzles into it, I decide to write a new edition with all the new puzzles inside. If you are preparing the programming interview for a software engineer position, you might want to look at this book. Make sure you have basic knowledge of data structure and algorithm, because this book is mostly focus on how to resolve the coding puzzles with existing data structure and algorithm. If you need some refresh of data structure and algorithm, there is a good book you might want to take a look first, by Thomas H. Cormen. In this new version, there are 53 new puzzles. Again and again, this book is used to present how to analysis a problem and solve the challenge with some existing algrithoms. Improving your ability of solveing the problem is much more important than writing the code..

Learn to Code by Solving Problems is a practical introduction to programming using Python. It uses coding-competition challenges to teach you the mechanics of coding and how to think like a savvy programmer. Computers are capable of solving almost any problem when given the right instructions. That’s where programming comes in. This beginner’s book will have you writing Python programs right away. You’ll solve interesting problems drawn from real coding competitions and build your programming skills as you go. Every chapter presents problems from coding challenge websites, where online judges test your solutions and provide targeted feedback. As you practice using core Python features, functions, and techniques, you’ll develop a clear understanding of data structures, algorithms, and other programming basics. Bonus exercises invite you to explore new concepts on your own, and multiple-choice questions encourage you to think about how each piece of code works. You’ll learn how to: Run Python code, work with strings, and use variables Write programs that make decisions Make code more efficient with while and for loops Use Python sets, lists, and dictionaries to organize, sort, and search data Design programs using functions and top-down design Create complete-search algorithms and use Big O notation to design more efficient code By the end of the book, you’ll not only be proficient in Python, but you’ll also understand how to think through problems and tackle them with code. Programming languages come and go, but this book gives you the lasting foundation you need to start thinking like a programmer.

The best-selling Python book in the world, with over 1 million copies sold! A fast-paced, no-nonsense, updated guide to programming in Python. If you've been thinking about learning how to code or picking up Python, this internationally bestselling guide to the most popular programming language is your quickest, easiest way to get started and go! Even if you have no experience whatsoever, Python Crash Course, 2nd Edition, will have you writing programs, solving problems, building computer games, and creating data visualizations in no time. You’ll begin with basic concepts like variables, lists, classes, and loops—with the help of fun skill-strengthening exercises for every topic—then move on to making interactive programs and best practices for testing your code. Later chapters put your new knowledge into play with three cool projects: a 2D Space Invaders-style arcade game, a set of responsive data visualizations you’ll build with Python's handy libraries (Pygame, Matplotlib, Plotly, Django), and a customized web app you can deploy online. Why wait any longer? Start your engine and code!