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"Offers a practical, close-up examination of how a manager or executive can best determine whether a new technology expenditure is justified by a business need." - cover.
A series of Book of Computers . The ebook version does not contain CD.
Over the past two decades, a growing consensus has emerged among Americans as to the importance of environmental quality. Yet at the same time, conflict over environmental issues has built to a point where rational discussion is often impossible. Efforts to protect unique ecosystems and endangered wildlife are portrayed as threatening entire regions and ways of life, and anti-environmental groups such as the Wise Use Movement are able to use economic insecurity as a weapon in an ongoing attempt to rescind environmental protection measures.In "Lost Landscapes and Failed Economies," economist Thomas Michael Power argues that the quality of the natural landscape is an essential part of a community's permanent economic base and need not be sacrificed in short-term efforts to maintain employment levels in industries that are ultimately not sustainable. He provides numerous case studies of the ranching, mining, and timber industries in a critical analysis of the role played by extractive industry in our communities. In addition, he looks at areas where environmental protection measures have been enacted and examines the impact of protected landscapes on local economies.Both environmental protection and extractive industry are economic activities that can contribute to local economic well-being. Both generate jobs and income. Both have a significant impact on people's lives. Power exposes the fundamental flaws in the widely accepted view of the local economy built around the "extractive model," a model that overemphasizes the importance of extractive industries and assumes that people don't care where they live and that businesses don't care about the available labor supply. By revealing theinadequacies of the extractive model, he lays to rest fears that environmental protection will cause an imminent collapse of the community, and puts economic tools in the hands of those working to protect their communities.
Understand how implementing different data structures and algorithms intelligently can make your Python code and applications more maintainable and efficient Key Features • Explore functional and reactive implementations of traditional and advanced data structures • Apply a diverse range of algorithms in your Python code • Implement the skills you have learned to maximize the performance of your applications Book Description Choosing the right data structure is pivotal to optimizing the performance and scalability of applications. This new edition of Hands-On Data Structures and Algorithms with Python will expand your understanding of key structures, including stacks, queues, and lists, and also show you how to apply priority queues and heaps in applications. You'll learn how to analyze and compare Python algorithms, and understand which algorithms should be used for a problem based on running time and computational complexity. You will also become confident organizing your code in a manageable, consistent, and scalable way, which will boost your productivity as a Python developer. By the end of this Python book, you'll be able to manipulate the most important data structures and algorithms to more efficiently store, organize, and access data in your applications. What you will learn • Understand common data structures and algorithms using examples, diagrams, and exercises • Explore how more complex structures, such as priority queues and heaps, can benefit your code • Implement searching, sorting, and selection algorithms on number and string sequences • Become confident with key string-matching algorithms • Understand algorithmic paradigms and apply dynamic programming techniques • Use asymptotic notation to analyze algorithm performance with regard to time and space complexities • Write powerful, robust code using the latest features of Python Who this book is for This book is for developers and programmers who are interested in learning about data structures and algorithms in Python to write complex, flexible programs. Basic Python programming knowledge is expected.
For most of the church's history, people have seen Christian ethics as normative and universally applicable. Recently, however, this view has been lost, thanks to naturalism and relativism. R. Scott Smith argues that Christians need to overcome Kant's fact-value dichotomy and recover the possibility of genuine moral and theological knowledge.
This book constitutes the refereed proceedings of the 7th International Conference on Computers and Games, CG 2010, held in Kanazawa, Japan, in September 2010. The 24 papers presented were carefully reviewed and selected for inclusion in this book. They cover a wide range of topics such as monte-carlo tree search, proof-number search, UCT algorithm, scalability, parallelization, opening books, knowledge abstraction, solving games, consultation of players, multi-player games, extraversion, and combinatorial game theory. In addition a wide range of computer games is dealt with, such as Chinese Checkers, Chinese Chess, Connect6, Go, Havannah, Lines of Action, Pckomino, Shogi, Surakarta, and Yahtzee.
This text provides a complete overview of Cocoa's Objective-C Frameworks - vital tools for anyone interested in developing applications for Mac OS X. It provides developers who may be experienced with other application toolkits the grounding they'll need to start developing Cocoa applications.
#1 NEW YORK TIMES BESTSELLER • Brené Brown has taught us what it means to dare greatly, rise strong, and brave the wilderness. Now, based on new research conducted with leaders, change makers, and culture shifters, she’s showing us how to put those ideas into practice so we can step up and lead. Don’t miss the five-part HBO Max docuseries Brené Brown: Atlas of the Heart! NAMED ONE OF THE BEST BOOKS OF THE YEAR BY BLOOMBERG Leadership is not about titles, status, and wielding power. A leader is anyone who takes responsibility for recognizing the potential in people and ideas, and has the courage to develop that potential. When we dare to lead, we don’t pretend to have the right answers; we stay curious and ask the right questions. We don’t see power as finite and hoard it; we know that power becomes infinite when we share it with others. We don’t avoid difficult conversations and situations; we lean into vulnerability when it’s necessary to do good work. But daring leadership in a culture defined by scarcity, fear, and uncertainty requires skill-building around traits that are deeply and uniquely human. The irony is that we’re choosing not to invest in developing the hearts and minds of leaders at the exact same time as we’re scrambling to figure out what we have to offer that machines and AI can’t do better and faster. What can we do better? Empathy, connection, and courage, to start. Four-time #1 New York Times bestselling author Brené Brown has spent the past two decades studying the emotions and experiences that give meaning to our lives, and the past seven years working with transformative leaders and teams spanning the globe. She found that leaders in organizations ranging from small entrepreneurial startups and family-owned businesses to nonprofits, civic organizations, and Fortune 50 companies all ask the same question: How do you cultivate braver, more daring leaders, and how do you embed the value of courage in your culture? In this new book, Brown uses research, stories, and examples to answer these questions in the no-BS style that millions of readers have come to expect and love. Brown writes, “One of the most important findings of my career is that daring leadership is a collection of four skill sets that are 100 percent teachable, observable, and measurable. It’s learning and unlearning that requires brave work, tough conversations, and showing up with your whole heart. Easy? No. Because choosing courage over comfort is not always our default. Worth it? Always. We want to be brave with our lives and our work. It’s why we’re here.” Whether you’ve read Daring Greatly and Rising Strong or you’re new to Brené Brown’s work, this book is for anyone who wants to step up and into brave leadership.
A comprehensive treatment focusing on the creation of efficient data structures and algorithms, this text explains how to select or design the data structure best suited to specific problems. It uses C++ as the programming language and is suitable for second-year data structure courses and computer science courses in algorithmic analysis.