Programmatic Puzzle

Sudoku is amazingly popular This is a beginning programmer’s guide with a gaming slant. It mixes learning and fun It teaches the reader how to build a fun, complex, and addictive puzzle game

Aimed at both working programmers who are applying for a job where puzzles are an integral part of the interview, as well as techies who just love a good puzzle, this book offers a cache of exciting puzzles Features a new series of puzzles, never before published, called elimination puzzles that have a pedagogical aim of helping the reader solve an entire class of Sudoku-like puzzles Provides the tools to solve the puzzles by hand and computer The first part of each chapter presents a puzzle; the second part shows readers how to solve several classes of puzzles algorithmically; the third part asks the reader to solve a mystery involving codes, puzzles, and geography Comes with a unique bonus: if readers actually solve the mystery, they have a chance to win a prize, which will be promoted on wrox.com!

Learning programming with one of “the coolest applications around”: algorithmic puzzles ranging from scheduling selfie time to verifying the six degrees of separation hypothesis. This book builds a bridge between the recreational world of algorithmic puzzles (puzzles that can be solved by algorithms) and the pragmatic world of computer programming, teaching readers to program while solving puzzles. Few introductory students want to program for programming's sake. Puzzles are real-world applications that are attention grabbing, intriguing, and easy to describe. Each lesson starts with the description of a puzzle. After a failed attempt or two at solving the puzzle, the reader arrives at an Aha! moment—a search strategy, data structure, or mathematical fact—and the solution presents itself. The solution to the puzzle becomes the specification of the code to be written. Readers will thus know what the code is supposed to do before seeing the code itself. This represents a pedagogical philosophy that decouples understanding the functionality of the code from understanding programming language syntax and semantics. Python syntax and semantics required to understand the code are explained as needed for each puzzle. Readers need only the rudimentary grasp of programming concepts that can be obtained from introductory or AP computer science classes in high school. The book includes more than twenty puzzles and more than seventy programming exercises that vary in difficulty. Many of the puzzles are well known and have appeared in publications and on websites in many variations. They range from scheduling selfie time with celebrities to solving Sudoku problems in seconds to verifying the six degrees of separation hypothesis. The code for selected puzzle solutions is downloadable from the book's website; the code for all puzzle solutions is available to instructors.

This open access book is the first monograph to systematically apply the Programmatic Action Framework (PAF) in a comparative analysis of public policy in two institutionally different countries. The PAF seeks to explain long-term policy change by examining the shared biographies of policy actors who, to foster their careers, coalesce around policy programs which they promote throughout the policy process. Comparing health policy-making in France and Germany between 1990 and 2020, the book sheds light on the institutional settings that are necessary for programmatic action to occur. It will appeal to scholars and students of public policy, public administration, and health policy.

A guide to key planning strategies to prepare for grant writing.

Sudoku Programming with C teaches you how to write computer programs to solve and generate Sudoku puzzles. This is a practical book that will provide you with everything you need to write your own books of Sudoku Classic and Samurai puzzles. But be warned: after reading it, you'll discover that the puzzles in your local paper are not so challenging after all! We like Sudokus because they test our capacity to recognize and interpret patterns. But how are the clues generated? Where do those quasi-symmetrical configurations come from? When the author explored the Web to find out, he discovered that there were many sites that explained how to solve Sudokus, but none that told him how create them. He also saw many sites and apps to play Sudoku, but, perhaps not surprising, no indication of how they worked. So, he had to develop his own applications in order to find out. And, from the very start, he decided that he would publish the code for anyone else to use and perhaps tinker with, but the author wrote it in such a way that also lets readers with limited knowledge of programming techniques understand it. In fact, you could decide to start generating thousands of puzzles almost immediately, and go through the explanations of algorithms and techniques later, a bit at a time. The author chose to write the application in ‘plain old C’ because he wanted to make the code accessible to as many people as possible. In this book, you will find an explanation of all solving strategies, and the code to implement them. Writing the Solver application was more difficult than writing the Generator, because it required designing and implementing each strategy separately. However, the author wanted to include a solving program capable of listing the strategies necessary to solve any particular puzzle. He also wanted to check whether a puzzle was solvable analytically, without any guessing. This book includes the full listings of both the Generator and the Solver, and explanations of all C modules, with walk-throughs and examples.

An innovative examination of the shift by American political parties toward issue-based differentiation Recent Democratic and Republican party platforms display clear differences on such issues as abortion, LGBTQ+ rights, gun control, and the environment. These distinctions reflect a programmatic party system—that is, one in which policy positions serve as a key basis of electoral competition. Yet party politics were not always so issue-oriented; the rise of policy positions as the dominant marker of party appeal occurred largely over the last fifty years. In Divergent Democracy, Katherine Krimmel examines this transformation of the American party system, using innovative machine learning techniques to develop and present the first measure of party differentiation on issues since Democrats and Republicans began competing with each other in 1856. Why did the shift to issue-based party competition take more than a century to materialize? Krimmel offers a groundbreaking theory, focusing on what aids and constrains parties’ abilities to do the difficult, conflict-ridden work of developing issue positions. She argues that clientelistic subnational party organizations, promising material support or jobs in return for votes, long impeded programmatic partisanship while the growth of national party organizations facilitated it. Moreover, institutions and agents of racial oppression extended the life of nonprogrammatic practices, as they attempted to shield discriminatory laws and institutions from interparty competition. Following the civil rights revolution of the 1960s, space opened for programmatic competition to grow. Using both quantitative and qualitative tools, Krimmel offers a vital view of the foundations of today’s issue-based party competition and its alternatives.

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.

Algorithmic puzzles are puzzles involving well-defined procedures for solving problems. This book will provide an enjoyable and accessible introduction to algorithmic puzzles that will develop the reader's algorithmic thinking. The first part of this book is a tutorial on algorithm design strategies and analysis techniques. Algorithm design strategies — exhaustive search, backtracking, divide-and-conquer and a few others — are general approaches to designing step-by-step instructions for solving problems. Analysis techniques are methods for investigating such procedures to answer questions about the ultimate result of the procedure or how many steps are executed before the procedure stops. The discussion is an elementary level, with puzzle examples, and requires neither programming nor mathematics beyond a secondary school level. Thus, the tutorial provides a gentle and entertaining introduction to main ideas in high-level algorithmic problem solving. The second and main part of the book contains 150 puzzles, from centuries-old classics to newcomers often asked during job interviews at computing, engineering, and financial companies. The puzzles are divided into three groups by their difficulty levels. The first fifty puzzles in the Easier Puzzles section require only middle school mathematics. The sixty puzzle of average difficulty and forty harder puzzles require just high school mathematics plus a few topics such as binary numbers and simple recurrences, which are reviewed in the tutorial. All the puzzles are provided with hints, detailed solutions, and brief comments. The comments deal with the puzzle origins and design or analysis techniques used in the solution. The book should be of interest to puzzle lovers, students and teachers of algorithm courses, and persons expecting to be given puzzles during job interviews.