A collection of fascinating facts, tidbits and quotes from the world of science and technology.This is a quick read, which you can easily scan through and find easy to read, short facts about the world around us, as well as some quotes from well known faces in science.Topics in the book include;BiologyChemistryPhysicsHealthSocietyEarth & EnvironmentAnimals & NatureSpaceTechnology & EngineeringQuotes

    Worked examples and exercises support the text. An ELBS/LPBB edition is available.

    Anyone involved in the work or study of today's tourism industry must consider all these factors together and their effect on it.This updated and revised Eleventh Edition of Tourism presents a comprehensive introduction to travel and tourism, while continuing the tested approach of successful previous editions. New and revised coverage, integrating the latest developments in the tourism industry, includes:Profiles of such industry leaders as J. W. Marriott, Jr, of Marriott International, Inc., James Rasulo of Walt Disney Parks and Resorts, and Francesco Frangialli, Secretary-General of the United Nations World Tourism Organization Lively and fun "Global Insights" look at emerging areas of importance in tourism Demographic trends, such as how the many new travelers from BRIC nations (Brazil, Russia, India, and China) recreate and seek culture New information on transportation options, including high-speed rail and river cruises New consideration of the use of the Internet, particularly Web 2.0 (podcasting, social networks, and blogs), in tourism research, marketing, and promotion Updates on passport, visa, and governmental policies Expanded treatment of crisis management Moving easily between theory and practice, Tourism, Eleventh Edition offers an unparalleled discussion of recreational travel today, and is suitable both as a lively learning tool for students and a reliable go-to reference for tourism professionals.

    This book leads the reader from simple graphs through planar graphs, Euler's formula, Platonic graphs, coloring, the genus of a graph, Euler walks, Hamilton walks, more. Includes exercises. 1976 edition.

    1 Lakh/ below US$ 2500 car), is set to change our perception of India': on the threshold of becoming a truly global brand.*s oldest and most respected corporate brand. With a major international presence, in a variety of areas including steel, tea, chemicals, communications and software, Tata now stands 65th in the world brand valuation league. But what is the Tata brand all about? What are its values? How do people perceive it, in India and around the world? In this absorbing and informed book Morgen Witzel digs into the heart of the Tata enterprise, describes its origins, how Tata's reputation and image evolved, and how the group has worked to transform that image into a powerful and valuable brand. Tata: The Evolution of a Corporate Brand goes to the core of the Tata ethos to explore the unique relationship between the Tata group and the Indian people, a relationship that goes beyond the achievements of a successful business to its social contributions for its employees and the society at large. Finally it asks how that reputation will be perceived and understood as Tata moves into global markets. Whether you re an entrepreneur, a manager, a marketer, or an interested Tata loyalist this book will help you understand the durability of the brand and inspire you with the values it holds onto in the global economy.

    Studies show growth mindset results in higher engagement, better test scores, and all-around greater student success. In this follow-up to widely praised The Growth Mindset Coach, education professionals Annie Brock and Heather Hundley show how to take mindset to the next level with further resources, examples, and ideas. The all new book is packed with detailed lesson plans, hands-on activities, and discussion points for talking with parents and other educators. Featuring up-to-date information on brain science and current mindset studies, The Growth Mindset Playbook shares fascinating research, tips, and strategies that help educators fully understand and implement growth mindset instruction and best practices. They break down the research and studies into actionable steps for building a culture of mindset not only in the classroom, but at the school level as well.

    Hundreds of thousands of Python developers around the world rely on Python for general-purpose tasks, Internet scripting, systems programming, user interfaces, and product customization. Available on all major computing platforms, including commercial versions of Unix, Linux, Windows, and Mac OS X, Python is portable, powerful and remarkable easy to use.With its convenient, quick-reference format, "Python Pocket Reference," 3rd Edition is the perfect on-the-job reference. More importantly, it's now been refreshed to cover the language's latest release, Python 2.4. For experienced Python developers, this book is a compact toolbox that delivers need-to-know information at the flip of a page. This third edition also includes an easy-lookup index to help developers find answers fast!Python 2.4 is more than just optimization and library enhancements; it's also chock full of bug fixes and upgrades. And these changes are addressed in the "Python Pocket Reference," 3rd Edition. New language features, new and upgraded built-ins, and new and upgraded modules and packages--they're all clarified in detail.The "Python Pocket Reference," 3rd Edition serves as the perfect companion to "Learning Python" and "Programming Python."

    With the sophisticated algorithms in this book, you can write smart programs to access interesting datasets from other web sites, collect data from users of your own applications, and analyze and understand the data once you've found it.Programming Collective Intelligence takes you into the world of machine learning and statistics, and explains how to draw conclusions about user experience, marketing, personal tastes, and human behavior in general -- all from information that you and others collect every day. Each algorithm is described clearly and concisely with code that can immediately be used on your web site, blog, Wiki, or specialized application. This book explains:Collaborative filtering techniques that enable online retailers to recommend products or media Methods of clustering to detect groups of similar items in a large dataset Search engine features -- crawlers, indexers, query engines, and the PageRank algorithm Optimization algorithms that search millions of possible solutions to a problem and choose the best one Bayesian filtering, used in spam filters for classifying documents based on word types and other features Using decision trees not only to make predictions, but to model the way decisions are made Predicting numerical values rather than classifications to build price models Support vector machines to match people in online dating sites Non-negative matrix factorization to find the independent features in a dataset Evolving intelligence for problem solving -- how a computer develops its skill by improving its own code the more it plays a game Each chapter includes exercises for extending the algorithms to make them more powerful. Go beyond simple database-backed applications and put the wealth of Internet data to work for you. "Bravo! I cannot think of a better way for a developer to first learn these algorithms and methods, nor can I think of a better way for me (an old AI dog) to reinvigorate my knowledge of the details."-- Dan Russell, Google "Toby's book does a great job of breaking down the complex subject matter of machine-learning algorithms into practical, easy-to-understand examples that can be directly applied to analysis of social interaction across the Web today. If I had this book two years ago, it would have saved precious time going down some fruitless paths."-- Tim Wolters, CTO, Collective Intellect

    But what if you could have your computer do them for you?In "Automate the Boring Stuff with Python," you'll learn how to use Python to write programs that do in minutes what would take you hours to do by hand no prior programming experience required. Once you've mastered the basics of programming, you'll create Python programs that effortlessly perform useful and impressive feats of automation to: Search for text in a file or across multiple filesCreate, update, move, and rename files and foldersSearch the Web and download online contentUpdate and format data in Excel spreadsheets of any sizeSplit, merge, watermark, and encrypt PDFsSend reminder emails and text notificationsFill out online formsStep-by-step instructions walk you through each program, and practice projects at the end of each chapter challenge you to improve those programs and use your newfound skills to automate similar tasks.Don't spend your time doing work a well-trained monkey could do. Even if you've never written a line of code, you can make your computer do the grunt work. Learn how in "Automate the Boring Stuff with Python.""

    Its world-class authors provide guidance on all aspects of Bayesian data analysis and include examples of real statistical analyses, based on their own research, that demonstrate how to solve complicated problems. Changes in the new edition include:Stronger focus on MCMC Revision of the computational advice in Part III New chapters on nonlinear models and decision analysis Several additional applied examples from the authors' recent research Additional chapters on current models for Bayesian data analysis such as nonlinear models, generalized linear mixed models, and more Reorganization of chapters 6 and 7 on model checking and data collectionBayesian computation is currently at a stage where there are many reasonable ways to compute any given posterior distribution. However, the best approach is not always clear ahead of time. Reflecting this, the new edition offers a more pluralistic presentation, giving advice on performing computations from many perspectives while making clear the importance of being aware that there are different ways to implement any given iterative simulation computation. The new approach, additional examples, and updated information make Bayesian Data Analysis an excellent introductory text and a reference that working scientists will use throughout their professional life.

    This long-awaited revision contains changes throughout the text. There are new implementations of most of the major programming systems in the book, including the interpreters and compilers, and the authors have incorporated many small changes that reflect their experience teaching the course at MIT since the first edition was published. A new theme has been introduced that emphasizes the central role played by different approaches to dealing with time in computational models: objects with state, concurrent programming, functional programming and lazy evaluation, and nondeterministic programming. There are new example sections on higher-order procedures in graphics and on applications of stream processing in numerical programming, and many new exercises. In addition, all the programs have been reworked to run in any Scheme implementation that adheres to the IEEE standard.

    The new edition of "Strategic Marketing" uses a decision-making process to examine the key concepts and issues involved in analyzing and selecting strategies. Marketing strategy is considered from a total business perspective, examining marketing strategy beyond the traditional emphasis on marketing functions. The length and design of the book offer flexibility in the use of the text material and cases. New features and updated cases have made this text the most relevant text in the market today.

    This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python.You'll work with a case study throughout the book to help you learn the entire data analysis process—from collecting data and generating statistics to identifying patterns and testing hypotheses. Along the way, you'll become familiar with distributions, the rules of probability, visualization, and many other tools and concepts.Develop your understanding of probability and statistics by writing and testing codeRun experiments to test statistical behavior, such as generating samples from several distributionsUse simulations to understand concepts that are hard to grasp mathematicallyLearn topics not usually covered in an introductory course, such as Bayesian estimationImport data from almost any source using Python, rather than be limited to data that has been cleaned and formatted for statistics toolsUse statistical inference to answer questions about real-world data

    Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. In addition, we have an overwhelming variety of tools, including relational databases, NoSQL datastores, stream or batch processors, and message brokers. What are the right choices for your application? How do you make sense of all these buzzwords?In this practical and comprehensive guide, author Martin Kleppmann helps you navigate this diverse landscape by examining the pros and cons of various technologies for processing and storing data. Software keeps changing, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications. Peer under the hood of the systems you already use, and learn how to use and operate them more effectively Make informed decisions by identifying the strengths and weaknesses of different tools Navigate the trade-offs around consistency, scalability, fault tolerance, and complexity Understand the distributed systems research upon which modern databases are built Peek behind the scenes of major online services, and learn from their architectures

    … The book the National Security Agency wanted never to be published." –Wired Magazine "…monumental… fascinating… comprehensive… the definitive work on cryptography for computer programmers…" –Dr. Dobb's Journal"…easily ranks as one of the most authoritative in its field." —PC Magazine"…the bible of code hackers." –The Millennium Whole Earth CatalogThis new edition of the cryptography classic provides you with a comprehensive survey of modern cryptography. The book details how programmers and electronic communications professionals can use cryptography—the technique of enciphering and deciphering messages-to maintain the privacy of computer data. It describes dozens of cryptography algorithms, gives practical advice on how to implement them into cryptographic software, and shows how they can be used to solve security problems. Covering the latest developments in practical cryptographic techniques, this new edition shows programmers who design computer applications, networks, and storage systems how they can build security into their software and systems. What's new in the Second Edition? * New information on the Clipper Chip, including ways to defeat the key escrow mechanism * New encryption algorithms, including algorithms from the former Soviet Union and South Africa, and the RC4 stream cipher * The latest protocols for digital signatures, authentication, secure elections, digital cash, and more * More detailed information on key management and cryptographic implementations