This text concisely describes the Python language and its programming environment for those readers already familiar with languages such as C and C++.

    Learning the work of marriage. Navigating the bumpy terrain of parenting. Maintaining social relationships. Facing grave hardship. Finding contentment in our career.As the years pass by, we sense how the good things in life are so often eclipsed by stress. We find ourselves doing everything we can just to endure adulthood, all the while wondering whether we are actually enjoying it. This is exactly why Dr. Anthony T. DeBenedet decided to write Playful Intelligence: The Power of Living Lightly in a Serious World, to show readers how playfulness helps us counterbalance the seriousness of adulthood."Five years ago, my life was becoming more intense and stressful," DeBenedet says. "My relationships, clinical work as a physician, and basic interactions with the world were blurring into a frazzled mosaic. Going through the motions became my norm, and every day brought busyness and exhaustion. I thought about whether I was depressed. I didn't think I was. Anxious? Sure, but aren't we all anxious on some level? I also thought about the lifestyle factors that could be making me feel this way. Was I getting enough sleep? Was I exercising regularly? Was I eating healthy? Was I playing and remembering to be playful?"Today, we live in a taxing world. The endless pressure to keep up with our responsibilities and the daily headlines swarming around us can be overwhelming. DeBenedet's work comes at a time when stress, uncertainty, and intensity levels are high. Playful Intelligence shows adults that there is a way to live lighter--and smarter--as we navigate the seriousness of adulthood. It's not about taking life less seriously; it's about taking ourselves less seriously.The book's core chapters are devoted to exploring the effects and benefits of five playful qualities: imagination, sociability, humor, spontaneity, and wonder. By examining playfulness as a sum of its parts, readers will gain a working awareness of its power and be able to apply playful principles to their own lives, bringing the magic of childhood back into their day-to-day existence. The book also offers practical suggestions on how to make life more playful in nature.

    Why not learn to talk to your computer in its own language? Whether you want to write games, start a business, or you're just curious, learning to program is a great place to start. Plus, programming is fun!Hello World! provides a gentle but thorough introduction to the world of computer programming. It's written in language a 12-year-old can follow, but anyone who wants to learn how to program a computer can use it. Even adults. Written by Warren Sande and his son, Carter, and reviewed by professional educators, this book is kid-tested and parent-approved.You don't need to know anything about programming to use the book. But you should know the basics of using a computer--e-mail, surfing the web, listening to music, and so forth. If you can start a program and save a file, you should have no trouble using this book.Purchase of the print book comes with an offer of a free PDF, ePub, and Kindle eBook from Manning. Also available is all code from the book.

    You might think the problem is your brain. It seems to have a mind of its own, a mind that doesn't always want to take in the dry, technical stuff you're forced to study. The fact is your brain craves novelty. It's constantly searching, scanning, waiting for something unusual to happen. After all, that's the way it was built to help you stay alive. It takes all the routine, ordinary, dull stuff and filters it to the background so it won't interfere with your brain's real work--recording things that matter. How does your brain know what matters? It's like the creators of the Head First approach say, suppose you're out for a hike and a tiger jumps in front of you, what happens in your brain? Neurons fire. Emotions crank up. Chemicals surge. That's how your brain knows.And that's how your brain will learn Java. Head First Java combines puzzles, strong visuals, mysteries, and soul-searching interviews with famous Java objects to engage you in many different ways. It's fast, it's fun, and it's effective. And, despite its playful appearance, Head First Java is serious stuff: a complete introduction to object-oriented programming and Java. You'll learn everything from the fundamentals to advanced topics, including threads, network sockets, and distributed programming with RMI. And the new. second edition focuses on Java 5.0, the latest version of the Java language and development platform. Because Java 5.0 is a major update to the platform, with deep, code-level changes, even more careful study and implementation is required. So learning the Head First way is more important than ever. If you've read a Head First book, you know what to expect--a visually rich format designed for the way your brain works. If you haven't, you're in for a treat. You'll see why people say it's unlike any other Java book you've ever read.By exploiting how your brain works, Head First Java compresses the time it takes to learn and retain--complex information. Its unique approach not only shows you what you need to know about Java syntax, it teaches you to think like a Java programmer. If you want to be bored, buy some other book. But if you want to understand Java, this book's for you.

    For more than a year, Washington Post reporter Robert O'Harrow has explored the threats proliferating in our digital universe. This eBook is a compilation of that reporting. With chapters built around real people, including hackers, security researchers and corporate executives, this book will help regular people, lawmakers and businesses better understand the mind-bending challenge of keeping the internet safe from hackers and security breaches -- and all out war.

    But when new Scrum practitioners attempt to apply Scrum theory and high-level approaches in actual projects, they often find it surprisingly difficult. In Scrum Shortcuts without Cutting Corners, Scrum expert Ilan Goldstein helps you translate the Scrum framework into reality to meet the Scrum challenges your formal training never warned you about. Drawing on his extensive agile experience in a wide range of projects and environments, Goldstein presents thirty proven, flexible shortcuts for optimizing Scrum processes, actions, and outcomes. Each shortcut walks you through applying a Scrum approach to achieve a tangible output. These easy-to-digest, actionable patterns address a broad range of topics including getting started, quality and metrics, team members and roles, managing stakeholders, estimation, continuous improvement and much more. Whatever your role, Scrum Shortcuts without Cutting Corners will help you take your Scrum skills to the next level and achieve better results in any project you participate in.

    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

    With this practical book, you’ll learn how to design and implement a graph database that brings the power of graphs to bear on a broad range of problem domains. Whether you want to speed up your response to user queries or build a database that can adapt as your business evolves, this book shows you how to apply the schema-free graph model to real-world problems.Learn how different organizations are using graph databases to outperform their competitors. With this book’s data modeling, query, and code examples, you’ll quickly be able to implement your own solution.Model data with the Cypher query language and property graph modelLearn best practices and common pitfalls when modeling with graphsPlan and implement a graph database solution in test-driven fashionExplore real-world examples to learn how and why organizations use a graph databaseUnderstand common patterns and components of graph database architectureUse analytical techniques and algorithms to mine graph database information

    In order to enable students to apply the basics of data modeling to real models, the book addresses the realities of developing systems in real-world situations by assessing the merits of a variety of possible solutions as well as using language and diagramming methods that represent industry practice.This revised edition has been given significantly expanded coverage and reorganized for greater reader comprehension even as it retains its distinctive hallmarks of readability and usefulness. Beginning with the basics, the book provides a thorough grounding in theory before guiding the reader through the various stages of applied data modeling and database design. Later chapters address advanced subjects, including business rules, data warehousing, enterprise-wide modeling and data management. It includes an entirely new section discussing the development of logical and physical modeling, along with new material describing a powerful technique for model verification. It also provides an excellent resource for additional lectures and exercises.This text is the ideal reference for data modelers, data architects, database designers, DBAs, and systems analysts, as well as undergraduate and graduate-level students looking for a real-world perspective.

    It has saved me hours in troubleshooting complicated operations problems." -Trotter Cashion, cofounder, Mashion DevOps can help developers, QAs, and admins work together to solve Linux server problems far more rapidly, significantly improving IT performance, availability, and efficiency. To gain these benefits, however, team members need common troubleshooting skills and practices. In DevOps Troubleshooting: Linux Server Best Practices , award-winning Linux expert Kyle Rankin brings together all the standardized, repeatable techniques your team needs to stop finger-pointing, collaborate effectively, and quickly solve virtually any Linux server problem. Rankin walks you through using DevOps techniques to troubleshoot everything from boot failures and corrupt disks to lost email and downed websites. You'll master indispensable skills for diagnosing high-load systems and network problems in production environments. Rankin shows how to Master DevOps' approach to troubleshooting and proven Linux server problem-solving principles Diagnose slow servers and applications by identifying CPU, RAM, and Disk I/O bottlenecks Understand healthy boots, so you can identify failure points and fix them Solve full or corrupt disk issues that prevent disk writes Track down the sources of network problems Troubleshoot DNS, email, and other network services Isolate and diagnose Apache and Nginx Web server failures and slowdowns Solve problems with MySQL and Postgres database servers and queries Identify hardware failures-even notoriously elusive intermittent failures

    Without machine learning, fraud detection, web search results, real-time ads on web pages, credit scoring, automation, and email spam filtering wouldn't be possible, and this is only showcasing just a few of its capabilities. Written by two data science experts, Machine Learning For Dummies offers a much-needed entry point for anyone looking to use machine learning to accomplish practical tasks.Covering the entry-level topics needed to get you familiar with the basic concepts of machine learning, this guide quickly helps you make sense of the programming languages and tools you need to turn machine learning-based tasks into a reality. Whether you're maddened by the math behind machine learning, apprehensive about AI, perplexed by preprocessing data--or anything in between--this guide makes it easier to understand and implement machine learning seamlessly.Grasp how day-to-day activities are powered by machine learning Learn to 'speak' certain languages, such as Python and R, to teach machines to perform pattern-oriented tasks and data analysis Learn to code in R using R Studio Find out how to code in Python using Anaconda Dive into this complete beginner's guide so you are armed with all you need to know about machine learning!

    

    The Mikado Method is a process for surfacing the dependencies in a codebase, so that you can systematically eliminate technical debt and get things done.It gets its name from a simple game commonly known as "pick-up sticks." You start with a jumbled pile of sticks. The goal is to remove the Mikado, or Emperor, stick without disturbing the others. Players carefully remove sticks one at a time, leaving the rest of the heap intact, slowly exposing the Mikado. The game is a great metaphor for eliminating technical debt—carefully extracting each intertwined dependency until you're able to successfully resolve the central issue and move on.The Mikado Method is a book by the creators of this process. It describes a pragmatic, straightforward, and empirical method to plan and perform non-trivial technical improvements on an existing software system. The method has simple rules, but the applicability is vast. As you read, you'll practice a step-by-step system for identifying the scope and nature of your technical debt, mapping the key dependencies, and determining the safest way to approach the "Mikado"-your goal. A natural byproduct of this process is the Mikado Graph, a minimalistic, relevant, just-in-time roadmap and information radiator that reflects deep understanding of how your system works.

    Many of the difficulties however, are not in the classroom... In The (Un)official Teacher's Manual, Omar Akbar offers direct, humorous and accessible advice on how to deal with the daily issues faced by a teacher- none of which involve teaching! Includes guidance on: lesson observations, emails, promotions, avoiding meaningless extra work, meetings, parents, maintaining a work-life balance, dealing with workplace bullying, and much more. While Omar pulls no punches on the reality of working in a school, a positive streak is maintained throughout. A must read for any teacher or potential teacher. - - - - - - - - - - - - - - Contents: Introduction: Why This Book Was Written 1. How to Get the Most from Observations, Learning Walks, and Book Scrutinies 2. The Don’ts of the School Email System 3. How to Get Promoted and Other Things to Consider 4. How and When to Say No and Yes 5. The Dos and Don’ts of Meetings 6. How to Get Parents on Your Side 7. Guidance for Trainee Teachers 8. Ensuring a Life-Work Balance 9. Bullying: the Problem and the Solution 10. How to Get the Teaching Job You Want 11. Maintaining Good Relationships 12. Why It’s All Worth It

    Feynman gave his famous course on computation at the California Institute of Technology, he asked Tony Hey to adapt his lecture notes into a book. Although led by Feynman, the course also featured, as occasional guest speakers, some of the most brilliant men in science at that time, including Marvin Minsky, Charles Bennett, and John Hopfield. Although the lectures are now thirteen years old, most of the material is timeless and presents a “Feynmanesque” overview of many standard and some not-so-standard topics in computer science such as reversible logic gates and quantum computers.