A series of events soon prove she’s capable of standing on her own two feet. However, she’s not prepared to follow her heart and accept marriage from the one man who truly loves her. Many Feathers' chance encounter with a blue-eyed blonde woman sets him on a path that lands him between the white man's ways and the traditions of his people. Determined to protect his people and prove his worthiness as a suitable husband to a white woman, he stakes claim to land and establishes a ranch. But there's one outlaw focused on destroying Many Feathers and everything he's trying to accomplish.

    ​But you can guarantee someone’s getting decapitated.Anabella is a supermodel with a secret. She’s really an elf. And she’s bored, bored, bored. Born and bred as a warrior, Anabella wants nothing more than to trade her tiara for a dagger and a gun.Careful what you wish for…When orcs invade Earth, will Anabella have her chance?Abby is a robotics engineer and certifiable genius (as well as simply certifiable). When Abby’s father is killed by the orcs, she plans on using her intellect to avenge him.Terra is the toughest person in Kansas. Too bad she’s not in Kansas anymore. She was kidnapped by orcs to fight in their sick and twisted battle games.Both Abby and Terra want revenge in the form of gloopy, green orc blood. Will the blood be green, or red?Alone, none of them stand a chance. But together they just might be enough to bring evil to its knees.These three warriors didn’t start the war…but you can be damn sure they’re going to try to finish it. Will they succeed?

    Such systems--whether political parties, stock markets, or ant colonies--present some of the most intriguing theoretical and practical challenges confronting the social sciences. Engagingly written, and balancing technical detail with intuitive explanations, Complex Adaptive Systems focuses on the key tools and ideas that have emerged in the field since the mid-1990s, as well as the techniques needed to investigate such systems. It provides a detailed introduction to concepts such as emergence, self-organized criticality, automata, networks, diversity, adaptation, and feedback. It also demonstrates how complex adaptive systems can be explored using methods ranging from mathematics to computational models of adaptive agents. John Miller and Scott Page show how to combine ideas from economics, political science, biology, physics, and computer science to illuminate topics in organization, adaptation, decentralization, and robustness. They also demonstrate how the usual extremes used in modeling can be fruitfully transcended.

    It is also about Python. However, there is much more. The study of algorithms and data structures is central to understanding what computer science is all about. Learning computer science is not unlike learning any other type of difficult subject matter. The only way to be successful is through deliberate and incremental exposure to the fundamental ideas. A beginning computer scientist needs practice so that there is a thorough understanding before continuing on to the more complex parts of the curriculum. In addition, a beginner needs to be given the opportunity to be successful and gain confidence. This textbook is designed to serve as a text for a first course on data structures and algorithms, typically taught as the second course in the computer science curriculum. Even though the second course is considered more advanced than the first course, this book assumes you are beginners at this level. You may still be struggling with some of the basic ideas and skills from a first computer science course and yet be ready to further explore the discipline and continue to practice problem solving. We cover abstract data types and data structures, writing algorithms, and solving problems. We look at a number of data structures and solve classic problems that arise. The tools and techniques that you learn here will be applied over and over as you continue your study of computer science.

    Proceed step-by-step through five progressively more complex web applications: from a "Hello World" app all the way to a robust Newspaper app with a custom user model, complete user authentication flow, foreign key relationships, and more. Learn current best practices around class-based views, templates, urls, user authentication, testing, and deployment. The material is up-to-date with the latest versions of both Django (2.0) and Python (3.6). TABLE OF CONTENTS: * Introduction * Chapter 1: Initial Setup * Chapter 2: Hello World app * Chapter 3: Pages app * Chapter 4: Message Board app * Chapter 5: Blog app * Chapter 6: Forms * Chapter 7: User Accounts * Chapter 8: Custom User Model * Chapter 9: User Authentication * Chapter 10: Bootstrap * Chapter 11: Password Change and Reset * Chapter 12: Email * Chapter 13: Newspaper app * Chapter 14: Permissions and Authorizations * Chapter 15: Comments * Conclusion

    We start off easy, defining some of the tech lingo you may have heard before, but didn’t fully understand. From there, each lesson introduces something new, slowly building up to the point where you are confident about what an API is and, for the brave, could actually take a stab at using one.