In the successful, accessible style of Tony Gaddis’ best-selling texts, useful examples and detail-oriented explanations allow students to become comfortable with fundamental concepts and logical thought processes used in programming without the complication of language syntax. Students gain confidence in their program design skills to transition into more comprehensive programming courses.The book is ideal for a programming logic course taught as a precursor to a language-specific introductory programming course, or for the first part of an introductory programming course.

    But what should we change and how do we do it? Annabel Streets and Susan Saunders spent their 30s climbing the career ladder, having children and caring for elderly parents - all at the same time. By their 40s, they were exhausted, stressed, sleeping too little and rushing too much. They began to ask whether the prolonged ill health and dementia suffered by their parents was their inevitable future too - could they do anything to avoid requiring their own children to care for them in old age? Thus began THE AGE-WELL PROJECT. With incredible tenacity, Annabel and Susan read 50,000 scientific research papers on all aspects of ageing to find what advice cutting-edge research can offer us on how to ensure the longer lives we're living are healthy and happy. Putting their findings into practice, they found that the lifestyle changes they made were having incredible benefits on their health and wellbeing now - as well as for the future. Told with empathy and humour, in THE AGE-WELL PROJECT Annabel and Susan share the 50 key lessons they learned, the meals they cooked and the experts' tips they uncovered to make the second half of your life the best half of your life - happy, healthy and disease-free. Author BiographyAnnabel was a founder member of an award-winning marketing company, advising the chief executives of companies such as Sony, Reuters and the Financial Times. After four children, and at breaking point, she sold her company. Following a stint studying photography and producing a community cook book, she changed tack and wrote an award-winning novel The Joyce Girl which sold in 14 countries and was selected for the 2017 Berlin Film Festival. Since then she has written regularly for a range of titles including the Daily Telegraph, Psychologies, The Author, the Guardian, The Irish Times, Elle, Australian

    This Box Set Includes 3 Books: Python Programming For Beginners - Learn The Basics Of Python In 7 Days! Python Programming For Intermediates - Learn The Basics Of Python In 7 Days! Python Programming For Advanced - Learn The Basics Of Python In 7 Days! Python Programming For Beginners - Learn The Basics Of Python In 7 Days! Here's what you'll learn from this book: ✓Introduction ✓Understanding Python: A Detailed Background ✓How Python Works ✓Python Glossary ✓How to Download and Install Python ✓Python Programming 101: Interacting With Python in Different Ways ✓How to Write Your First Python Program ✓Variables, Strings, Lists, Tuples, Dictionaries ✓About User-Defined Functions ✓How to Write User-Defined Functions in Python ✓About Coding Style ✓Practice Projects: The Python Projects for Your Practice Python Programming For Intermediates - Learn The Basics Of Python In 7 Days! Here's what you'll learn from this book: ✓ Shallow copy and deep copy ✓ Objects and classes in Python–including python inheritance, multiple inheritances, and so on ✓ Recursion in Python ✓ Debugging and testing ✓ Fibonacci sequence (definition) and Memoization in Python in Python ✓ Arguments in Python ✓ Namespaces in Python and Python Modules ✓ Simple Python projects for Intermediates Python Programming For Advanced - Learn The Basics Of Python In 7 Days! Here's what you'll learn from this book: ✓File management ✓Python Iterator ✓Python Generator ✓Regular Expressions ✓Python Closure ✓Python Property ✓Python Assert, and ✓Simple recap projects Start Coding Now!

    The authors are well-known for their clear presentation that makes the material accessible to a a broad audience and requires no special previous mathematical experience. KEY TOPICS: In this new edition, the authors incorporate a somewhat more informal, friendly writing style to present both classical and contemporary theories of computation. Algorithms, complexity analysis, and algorithmic ideas are introduced informally in Chapter 1, and are pursued throughout the book. Each section is followed by problems.

    I also hope that it will serve as a useful reference too for the many workers engaged in one type of solid state research activity or another, who may be without formal training in the subject.

    Albert-László Barabási, the nation’s foremost expert in the new science of networks and author of Bursts, takes us on an intellectual adventure to prove that social networks, corporations, and living organisms are more similar than previously thought. Grasping a full understanding of network science will someday allow us to design blue-chip businesses, stop the outbreak of deadly diseases, and influence the exchange of ideas and information. Just as James Gleick and the Erdos–Rényi model brought the discovery of chaos theory to the general public, Linked tells the story of the true science of the future and of experiments in statistical mechanics on the internet, all vital parts of what would eventually be called the Barabási–Albert model.

    It has become popular in recent years because of its simplicity, conciseness, and clarity. This book teaches functional programming as a way of thinking and problem solving, using Haskell, the most popular purely functional language. Rather than using the conventional (boring) mathematical examples commonly found in other programming language textbooks, the author uses examples drawn from multimedia applications, including graphics, animation, and computer music, thus rewarding the reader with working programs for inherently more interesting applications. Aimed at both beginning and advanced programmers, this tutorial begins with a gentle introduction to functional programming and moves rapidly on to more advanced topics. Details about progamming in Haskell are presented in boxes throughout the text so they can be easily found and referred to.

    With this long-awaited revision, the authors continue to present the theory in a concise and straightforward manner, now with an eye out for the practical applications. They have revised this book to make it more accessible to today's students, including the addition of more material on writing proofs, more figures and pictures to convey ideas, side-boxes to highlight other interesting material, and a less formal writing style. Exercises at the end of each chapter, including some new, easier exercises, help readers confirm and enhance their understanding of the material. *NEW! Completely rewritten to be less formal, providing more accessibility to todays students. *NEW! Increased usage of figures and pictures to help convey ideas. *NEW! More detail and intuition provided for definitions and proofs. *NEW! Provides special side-boxes to present supplemental material that may be of interest to readers. *NEW! Includes more exercises, including many at a lower level. *NEW! Presents program-like notation for PDAs and Turing machines. *NEW! Increas

    You have access to so much information - but where do you start and what is actually useful?! This particular book takes you right back to formula basics; exactly what a formula is, how to create one and what formulas can do. Then you'll learn about using functions in your formulas, a useful Excel feature which is designed to make your life easier. It will give you the starting blocks that you need in order to present and make sense of a spreadsheet in a quick and easy way that will give your confidence and career a boost. Formulae include: - Basic Arithmetic - SUM - IF - AND/OR - COUNT / COUNTA - AVERAGE / MAX / MIN - VLOOKUP / HLOOKUP - Bonus - Validation

    Right?! Machine Learning is a branch of computer science that wants to stop programming computers using a detailed list of commands to follow blindly. Instead, their aim is to implement high-level routines that teach computers how to approach new and unknown problems – these are called algorithms. In practice, they want to give computers the ability to Learn and to Adapt. We can use these algorithms to obtain insights, recognize patterns and make predictions from data, images, sounds or videos we have never seen before – or even knew existed. Unfortunately, the true power and applications of today’s Machine Learning Algorithms remain deeply misunderstood by most people. Through this book I want fix this confusion, I want to shed light on the most relevant Machine Learning Algorithms used in the industry. I will show you exactly how each algorithm works, why it works and when you should use it. Supervised Learning Algorithms K-Nearest Neighbour Naïve Bayes Regressions Unsupervised Learning Algorithms: Support Vector Machines Neural Networks Decision Trees

    Whether you’re an intermediate-level Python programmer or a student of computational modeling, you’ll delve into examples of complex systems through a series of exercises, case studies, and easy-to-understand explanations.You’ll work with graphs, algorithm analysis, scale-free networks, and cellular automata, using advanced features that make Python such a powerful language. Ideal as a text for courses on Python programming and algorithms, Think Complexity will also help self-learners gain valuable experience with topics and ideas they might not encounter otherwise.Work with NumPy arrays and SciPy methods, basic signal processing and Fast Fourier Transform, and hash tablesStudy abstract models of complex physical systems, including power laws, fractals and pink noise, and Turing machinesGet starter code and solutions to help you re-implement and extend original experiments in complexityExplore the philosophy of science, including the nature of scientific laws, theory choice, realism and instrumentalism, and other topicsExamine case studies of complex systems submitted by students and readers

    Scientists have marveled at the beauty and elegance of his analysis, while ordinary programmers have successfully applied his "cookbook" solutions to their day-to-day problems. All have admired Knuth for the breadth, clarity, accuracy, and good humor found in his books. "I can't begin to tell you how many pleasurable hours of study and recreation they have afforded me I have pored over them in cars, restaurants, at work, at home... and even at a Little League game when my son wasn't in the line-up.""--"Charles Long Primarily written as a reference, some people have nevertheless found it possible and interesting to read each volume from beginning to end. A programmer in China even compared the experience to reading a poem. "If you think you're a really good programmer... read Knuth's] "Art of Computer Programming.".. You should definitely send me a resume if you can read the whole thing.""--"Bill Gates Whatever your background, if you need to do any serious computer programming, you will find your own good reason to make each volume in this series a readily accessible part of your scholarly or professional library. "It's always a pleasure when a problem is hard enough that you have to get the Knuths off the shelf. I find that merely opening one has a very useful terrorizing effect on computers.""--"Jonathan LaventholIn describing the new fourth volume, one reviewer listed the qualities that distinguish all of Knuth's work. In sum: ] "detailed coverage of the basics, illustrated with well-chosen examples; occasional forays into more esoteric topics and problems at the frontiers of research; impeccable writing peppered with occasional bits of humor; extensive collections of exercises, all with solutions or helpful hints; a careful attention to history; implementations of many of the algorithms in his classic step-by-step form."--Frank RuskeyThese four books comprise what easily could be the most important set of information on any serious programmer's bookshelf.

    

    Do you want to get the most out of your new Kindle Fire HDX? If you are looking for a top-notch tutorial at a reasonable cost, you've come to the right place! Here is the book that will teach you 100% of what you need to know. Kindle Fire HDX Tips, Tricks, and Traps: A How-To Tutorial for the Kindle Fire HDX is your detailed guide to getting the maximum benefit from your Kindle Fire HDX.In this comprehensive guide, you'll learn tips (ways to effectively use your Kindle Fire), tricks (ways to improve the operation of your Kindle Fire), and traps (things to avoid to prevent problems while using your Kindle Fire). You will learn-• How to get around within the user interface, the home screen, and the carousel more efficiently• How to make your Kindle Fire HDX your own, customizing its display and operation for fastest and easiest use• How to use features that are new to the HDX line, including Google or Outlook Calendar and Contacts synchronization, Microsoft Exchange corporate e-mail support, and Amazon’s ‘Mayday’ online technical support• How to use the built-in cameras (front-facing in the 7-inch model, front-and-rear facing in the 8.9-inch model) to take photos and videos• How to setup the security options to protect your account information• How you can provide a safe environment for children using parental controls and Kindle FreeTime• How you can move your iTunes or other music library to your Kindle Fire HDX• How you can download YouTube videos to your Kindle Fire HDX• Suggested apps that no Kindle Fire owner should be withoutYou will learn all of the above and more, with Kindle Fire Tips, Tricks, and Traps: A How-To Tutorial for the Kindle Fire HDX as a part of your library. With this book, you will learn 100% of what you need to know to get the most out of your new Kindle Fire HDX! Kindle Fire HDX Tips, Tricks, and Traps: A How-To Tutorial for the Kindle Fire HDX comes from the pen of Edward Jones, the principal technology writer behind the "Get-it-Done" series of computer books. Jones is an experienced computer and technology writer, database applications development analyst, consultant, and trainer who understands the issues faced by people dealing with technology, day in and day out. His career spans years of technology training, database development, and consulting services for major law firms and government agencies in the Washington, DC area, and he currently resides in Charlotte, NC where he is concentrating on providing publications to the rapidly growing digital marketplace. Jones is also a best-selling author whose printed titles have sold over one million copies, and he has served as a technical editor on numerous computer books.

    Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future data. This textbook offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach.The coverage combines breadth and depth, offering necessary background material on such topics as probability, optimization, and linear algebra as well as discussion of recent developments in the field, including conditional random fields, L1 regularization, and deep learning. The book is written in an informal, accessible style, complete with pseudo-code for the most important algorithms. All topics are copiously illustrated with color images and worked examples drawn from such application domains as biology, text processing, computer vision, and robotics. Rather than providing a cookbook of different heuristic methods, the book stresses a principled model-based approach, often using the language of graphical models to specify models in a concise and intuitive way. Almost all the models described have been implemented in a MATLAB software package—PMTK (probabilistic modeling toolkit)—that is freely available online. The book is suitable for upper-level undergraduates with an introductory-level college math background and beginning graduate students.