Madhusudhan Konda provides an overview of these, including strings in switch statements, multi-catch exception handling, try-with-resource statements, the new File System API, extensions of the JVM, support for dynamically-typed languages, and the fork and join framework for task parallelism.

    You'll also learn how to make your programs interactive and how to test your code safely before adding it to a project. In the second half of the book, you'll put your new knowledge into practice with three substantial projects: a Space Invaders-inspired arcade game, data visualizations with Python's super-handy libraries, and a simple web app you can deploy online.As you work through Python Crash Course, you'll learn how to: Use powerful Python libraries and tools, including matplotlib, NumPy, and PygalMake 2D games that respond to keypresses and mouse clicks, and that grow more difficult as the game progressesWork with data to generate interactive visualizationsCreate and customize simple web apps and deploy them safely onlineDeal with mistakes and errors so you can solve your own programming problemsIf you've been thinking seriously about digging into programming, Python Crash Course will get you up to speed and have you writing real programs fast. Why wait any longer? Start your engines and code!

    Why is this open-source tool so popular? Because it automates a tedious task: persisting your Java objects to a relational database. The inevitable mismatch between your object-oriented code and the relational database requires you to write code that maps one to the other. This code is often complex, tedious and costly to develop. Hibernate does the mapping for you.Not only that, Hibernate makes it easy. Positioned as a layer between your application and your database, Hibernate takes care of loading and saving of objects. Hibernate applications are cheaper, more portable, and more resilient to change. And they perform better than anything you are likely to develop yourself."Hibernate in Action" carefully explains the concepts you need, then gets you going. It builds on a single example to show you how to use Hibernate in practice, how to deal with concurrency and transactions, how to efficiently retrieve objects and use caching.The authors created Hibernate and they field questions from the Hibernate community every day-they know how to make Hibernate sing. Knowledge and insight seep out of every pore of this book."What's Inside"- ORM concepts- Getting started- Many real-world tasks- The Hibernate application development process

    Ready to master AngularJS? What if you could master the entire framework – with solid foundations – in less time without beating your head against a wall? Imagine how quickly you could work if you knew the best practices and the best tools? Stop wasting your time searching and have everything you need to be productive in one, well-organized place, with complete examples to get your project up without needing to resort to endless hours of research.

    They're cute, compact, fun-loving, and great with kids. (Not to mention those soulful eyes!) But their sense of humor, independence, and stubborn nature isn't for everyone. So whether you're thinking about getting your very own Snoopy-dog, or if you've already opened your heart and home to one, Beagles for Dummies answers important questions like: What are Beagles supposed to look like and how should they behave? Should I choose a puppy or an adult dog? Male or female? How do I correct my Beagle's behavior problems? What do I need to do to survive my Beagle's puppyhood? How can I Beagle-proof my house to keep him (and my stuff) safe? What should I teach my Beagle to do? How do I teach him? What health problems is my Beagle likely to have when he's young? How about when he grows up--or gets old? Life with these little hounds can lead to years of merriment, entertainment, and love--but if you think Beagles are just another hound dog, think again! Whether you want to know everything there is to living with a Beagle, or just want to skip to a relevant subject (like how to keep him out of the hamper), Beagles for Dummies gives you everything you need to choose and raise your Snoopy soul mate.

    The algorithms you'll use most often as a programmer have already been discovered, tested, and proven. If you want to take a hard pass on Knuth's brilliant but impenetrable theories and the dense multi-page proofs you'll find in most textbooks, this is the book for you. This fully-illustrated and engaging guide makes it easy for you to learn how to use algorithms effectively in your own programs.Grokking Algorithms is a disarming take on a core computer science topic. In it, you'll learn how to apply common algorithms to the practical problems you face in day-to-day life as a programmer. You'll start with problems like sorting and searching. As you build up your skills in thinking algorithmically, you'll tackle more complex concerns such as data compression or artificial intelligence. Whether you're writing business software, video games, mobile apps, or system utilities, you'll learn algorithmic techniques for solving problems that you thought were out of your grasp. For example, you'll be able to:Write a spell checker using graph algorithmsUnderstand how data compression works using Huffman codingIdentify problems that take too long to solve with naive algorithms, and attack them with algorithms that give you an approximate answer insteadEach carefully-presented example includes helpful diagrams and fully-annotated code samples in Python. By the end of this book, you will know some of the most widely applicable algorithms as well as how and when to use them.

    So what made him risk it all for the gruelling, year-long SAS Selection course, with a better than ninety per cent chance of failing to win the toughest badge in the British Army at the end of it? Over the months of combat patrols, press-ups, punishing runs and Gas! Gas! Gas!, the ordeals of Long Drag and hostile interrogation, Ballinger learnt that who you think you are and what the Army wants you to be are very different things, and the end product of Selection bears little relation to either. This vivid, often funny account of the varied characters who commit so much to training for the 'misfits regiment' is remarkable both for its unromantic authenticity, and for its objective attempt to find out why. A question, Ballinger discovered, that few, if any, in the SAS could answer.

    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.""

    The Web is awash in Ruby code that is now virtually impossible to change or extend. This text helps you solve that problem by using powerful real-world object-oriented design techniques, which it thoroughly explains using simple and practical Ruby examples. Sandi Metz has distilled a lifetime of conversations and presentations about object-oriented design into a set of Ruby-focused practices for crafting manageable, extensible, and pleasing code. She shows you how to build new applications that can survive success and repair existing applications that have become impossible to change. Each technique is illustrated with extended examples, all downloadable from the companion Web site, poodr.info. The first title to focus squarely on object-oriented Ruby application design, Practical Object-Oriented Design in Ruby will guide you to superior outcomes, whatever your previous Ruby experience. Novice Ruby programmers will find specific rules to live by; intermediate Ruby programmers will find valuable principles they can flexibly interpret and apply; and advanced Ruby programmers will find a common language they can use to lead development and guide their colleagues. This guide will help you Understand how object-oriented programming can help you craft Ruby code that is easier to maintain and upgrade Decide what belongs in a single Ruby class Avoid entangling objects that should be kept separate Define flexible interfaces among objects Reduce programming overhead costs with duck typing Successfully apply inheritance Build objects via composition Design cost-effective tests Solve common problems associated with poorly designed Ruby code

    If you want to leverage OpenGL 2.1's major improvements, you really need the Fourth Edition. It's a comprehensive tutorial, systematic API reference, and massive code library, all in one. You'll start with the fundamental techniques every graphics programmer needs: transformations, lighting, texture mapping, and so forth. Then, building on those basics, you'll move towards newer capabilities, from advanced buffers to vertex shaders. Of course, OpenGL's cross-platform availability remains one of its most compelling features. This book's extensive multiplatform coverage has been thoroughly rewritten, and now addresses everything from Windows Vista to OpenGL ES for handhelds. This is stuff you absolutely want the latest edition for. A small but telling point: This book's recently been invited into Addison-Wesley's OpenGL Series, making it an "official" OpenGL book -- and making a powerful statement about its credibility. Bill Camarda, from the August 2007 href="http://www.barnesandnoble.com/newslet... Only

    They’ve experienced events they can’t otherwise explain. Same with other professions that deal with injuries, accidents, or death. Police officers, firemen, 911 operators, they’ve seen the worst that people can do to one another, and they’ve all had brushes with the unexplained. Don’t believe in ghosts? This book might change your mind steal any hope of sleep. These stories are unexplainable, true accounts from first responders, police officers, firemen, and 911 operators, told from the perspective of everyday people. Every single tale between these covers is one hundred percent true. Think you can explain them? We dare you to try.

    This is the one you want… Personally, I will check out any book this author writes about apps because, for some reason, maybe a bad case of OCD, he is obviously compelled to do the most thorough investigation into each and every aspect, good and bad of apps in a particular genre. My hat's off to him, and he has my thanks for saving me a ton of time and grief.” - Linda Abbott (Reviewer) Nearly 400 Pages of In-Depth Reviews, and Tips and Tricks to Help You Get The Most Out of Your Free Kindle Fire Apps Question: Why Do You Need This Book? Answer: Because you have better things to do with your time than trudge through the Amazon App Store and test tons of apps until you find the best ones Question: OK. But Why Do You Need To Buy THIS Book? Answer: Because you need more than just a random list of “Top Kindle Fire Apps.” You also need: To know which apps to download first Tips and tricks for how to get the most out of the apps How to find help if you’re having a problem with an app An in-depth review describing what is good and what is bad about each app Problem: Even if you have a list of the top free apps, how do you know which ones to install first? Solution: At the end of this book, all the apps are ranked from best to worst according to a UNIQUE RANKING SYSTEM FOUND ONLY IN MY BOOKS Question: How Else Is This Book Unique? Answer: In addition to its unique ranking system, it also offers in-depth reviews that provide the following: A summary of what the app does A summary of what is good and what is bad about each app When available: The app developer’s contact information, website information, as well as links to pertinent articles about the app Tips and tricks for many of the apps (how to get the most from the app) A brief summary of the positive and negative reviews of the app on Amazon PLUS: A list of 6 must-have free productivity apps that every Kindle Fire owner should install to have greater control over their Kindle Fire A list of 16 free productivity apps that most Kindle Fire owners will find useful since they provide a great deal of functionality Question: OK…But What Types Of Apps, Exactly, Does The Book Include? Answer: A dizzying variety… Game Apps Arcade and Board game apps Mind game apps: Card, logic, and word game apps Kids Apps Educational apps and Game apps for kids: Apps for toddlers, preschoolers, elementary schoolers, and high schoolers in the following categories: Art apps, Book apps, English apps, and Math apps Productivity Apps Home

    As in the original book, Dive Into Python, each chapter starts with a real, complete code sample, proceeds to pick it apart and explain the pieces, and then puts it all back together in a summary at the end.This book includes:Example programs completely rewritten to illustrate powerful new concepts now available in Python 3: sets, iterators, generators, closures, comprehensions, and much more A detailed case study of porting a major library from Python 2 to Python 3 A comprehensive appendix of all the syntactic and semantic changes in Python 3 This is the perfect resource for you if you need to port applications to Python 3, or if you like to jump into languages fast and get going right away.

    In fact, EJB 3.0 is being hailed as the new standard of server-side business logic programming. And O'Reilly's award-winning book on EJB has been refreshed just in time to capitalize on the technology's latest rise in popularity.This fifth edition, written by Bill Burke and Richard Monson-Haefel, has been updated to capture the very latest need-to-know Java technologies in the same award-winning fashion that drove the success of the previous four strong-selling editions. Bill Burke, Chief Architect at JBoss, Inc., represents the company on the EJB 3.0 and Java EE 5 specification committees. Richard Monson-Haefel is one of the world's leading experts on Enterprise Java."Enterprise JavaBeans 3.0," 5th Edition is organized into two parts: the technical manuscript followed by the JBoss workbook. The technical manuscript explains what EJB is, how it works, and when to use it. The JBoss workbook provides step-by-step instructions for installing, configuring, and running the examples from the manuscript on the JBoss 4.0 Application Server.Although EJB makes application development much simpler, it's still a complex and ambitious technology that requires a great deal of time to study and master. But now, thanks to "Enterprise JavaBeans 3.0," 5th Edition, you can overcome the complexities of EJBs and learn from hundreds of practical examples that are largeenough to test key concepts but small enough to be taken apart and explained in the detail that you need. Now you can harness the complexity of EJB with just a single resource by your side.

    We are living in an age where data comes in abundance, and thanks to the self-learning algorithms from the field of machine learning, we can turn this data into knowledge. Automated speech recognition on our smart phones, web search engines, e-mail spam filters, the recommendation systems of our favorite movie streaming services – machine learning makes it all possible.Thanks to the many powerful open-source libraries that have been developed in recent years, machine learning is now right at our fingertips. Python provides the perfect environment to build machine learning systems productively.This book will teach you the fundamentals of machine learning and how to utilize these in real-world applications using Python. Step-by-step, you will expand your skill set with the best practices for transforming raw data into useful information, developing learning algorithms efficiently, and evaluating results.You will discover the different problem categories that machine learning can solve and explore how to classify objects, predict continuous outcomes with regression analysis, and find hidden structures in data via clustering. You will build your own machine learning system for sentiment analysis and finally, learn how to embed your model into a web app to share with the world