This third edition has been updated toreflect current best practices andthe abundance of changes introduced by the latest version of thelanguage, Python 2.5.Whether you're a novice or an advancedpractitioner, you'll find thisrefreshed book more than lives up to its reputation. "ProgrammingPython," 3rd Edition, teaches you the rightway to code. It explains Python language syntax and programmingtechniques in a clear and concisemanner, with numerous examples that illustrate both correct usage andcommon idioms. By reading thiscomprehensive guide, you'll learn how to apply Python in real-worldproblem domains such as: GUI programmingInternet scriptingParallel processingDatabase managementNetworked applications"Programming Python," Third Edition coverseach of thesetarget domainsgradually, beginning with in-depth discussions of core concepts andthen progressing toward completeprograms. Large examples do appear, but only after you've learnedenough to understand their techniques andcode.Along the way, you'll also learn how to use the Python language inrealistically scaled programs--concepts such as Object-Oriented Programming (OOP) and code reuseare recurring side themes throughout thistext. If you're interested in Python programming, then this O'Reillyclassic needs to be within arm's reach. Thewealth of practical advice, snippets of code, and patterns of programdesign can all be put into use on adaily basis--making your life easier and more productive.Reviews of the second edition:.".".about as comprehensive as any book can be.""--Dr. Dobb's Journal""If the language had manuals, they would undoubtedlybe the texts from O'Reilly...'Learning Python' and 'Programming Python'are definitive treatments.""--SD Times

    Big Blue, as the company is known, tends to rely for its success on magical thinking but that magic ran out a long time ago. The company got in trouble back in the 1990s and had to hire for the first time an outside CEO, Lou Gerstner, to save the day. Gerstner pushed IBM into services with spectacular results but this hurt the company, too. As services have became commoditized IBM could only compete by offshoring the work and quality suffered. The other negative impact of Gerstner was his compensation which was for the first time in IBM history very high. Only the Watson family had become rich running IBM with later CEOs like John Opel and John Akers living comfortable lives with lots of perks, but they never got BIG RICH. That changed with Gerstner. Sam Palmisano an IBM lifer followed Gerstner as CEO and followed, too, the Gerstner playbook. Palmisano retired three years ago with a retirement package worth $241 million, replaced by IBM's first woman CEO, Ginni Rometty, who certainly expects a comparable golden parachute. In order to achieve these numbers, though, IBM has essentially sacrificed both its customers and employees. In order to have ever growing earnings per share the company has cut labor to the bone, off-shored everything it can, dropped quality, deliberately underbid contracts to win them then not performed. IBM's acquisition policy is one of buying companies to get their sales then cutting costs to the bone and under-delivering. This and share buybacks have kept earnings growing until this house of cards recently began to fall. Ginni Rometty, who will end up taking the fall for Palmisano's flawed strategy, has stated a very specific earnings goal for 2015 that she will destroy the company to achieve if she must. This book how IBM fell from grace, where it is headed, and what specifically can be done to save the company before it is too late.

    Star Schema: The Complete Reference offers in-depth coverage of design principles and their underlying rationales. Organized around design concepts and illustrated with detailed examples, this is a step-by-step guidebook for beginners and a comprehensive resource for experts.This all-inclusive volume begins with dimensional design fundamentals and shows how they fit into diverse data warehouse architectures, including those of W.H. Inmon and Ralph Kimball. The book progresses through a series of advanced techniques that help you address real-world complexity, maximize performance, and adapt to the requirements of BI and ETL software products. You are furnished with design tasks and deliverables that can be incorporated into any project, regardless of architecture or methodology.Master the fundamentals of star schema design and slow change processingIdentify situations that call for multiple stars or cubesEnsure compatibility across subject areas as your data warehouse growsAccommodate repeating attributes, recursive hierarchies, and poor data qualitySupport conflicting requirements for historic dataHandle variation within a business process and correlation of disparate activitiesBoost performance using derived schemas and aggregatesLearn when it's appropriate to adjust designs for BI and ETL tools

    Visit the SEO Made Simple (fourth edition) page for more information. http: //www.amazon.com/SEO-Made-Simple-4th-Ed... More Than 30,000 Copies Sold! The original SEO Made Simple: Strategies for Dominating the World's Leading Search Engine, is a tell-all guide for anyone trying to reach the highly coveted #1 ranking on Google for their Web site or Blog. Learn from a leading Webmaster the specific SEO techniques that deliver top rankings in less than 30 days. Whether you're a search engine optimization expert or new to Web site rankings, the techniques revealed in SEO Made Simple will give you everything you need to dominate the leading search engines. Generate tons of traffic to your website absolutely FREE with top search engine placement on Google, Yahoo! and MSN. SEO Made Simple is the only resource on search engine optimization that you'll ever need.

    Xamarin.Forms lets you write shared user-interface code in C# and XAML that maps to native controls on these three platforms.

    It is the technology behind photo tagging systems at Facebook and Google, self-driving cars, speech recognition systems on your smartphone, and much more.In particular, Deep learning excels at solving machine perception problems: understanding the content of image data, video data, or sound data. Here's a simple example: say you have a large collection of images, and that you want tags associated with each image, for example, "dog," "cat," etc. Deep learning can allow you to create a system that understands how to map such tags to images, learning only from examples. This system can then be applied to new images, automating the task of photo tagging. A deep learning model only has to be fed examples of a task to start generating useful results on new data.

    This book explains the technical aspects of hacking, including stack based overflows, heap based overflows, string exploits, return-into-libc, shellcode, and cryptographic attacks on 802.11b.

    Learn You a Haskell for Great Good! introduces programmers familiar with imperative languages (such as C++, Java, or Python) to the unique aspects of functional programming. Packed with jokes, pop culture references, and the author's own hilarious artwork, Learn You a Haskell for Great Good! eases the learning curve of this complex language, and is a perfect starting point for any programmer looking to expand his or her horizons. The well-known web tutorial on which this book is based is widely regarded as the best way for beginners to learn Haskell, and receives over 30,000 unique visitors monthly.

    Along with a clear introduction to asynchronous programming, you get an in-depth look at how the async feature works and why you might want to use it in your application.Written for experienced C# programmers—yet approachable for beginners—this book is packed with code examples that you can extend for your own projects.Write your own asynchronous code, and learn how async saves you from this messy choreDiscover new performance possibilities in ASP.NET web server codeExplore how async and WinRT work together in Windows 8 applicationsLearn the importance of the await keyword in async methodsUnderstand which .NET thread is running your code—and at what points in the programUse the Task-based Asynchronous Pattern (TAP) to write asynchronous APIs in .NETTake advantage of parallel computing in modern machinesMeasure async code performance by comparing it with alternatives

    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

    It is a humorous book--pure entertainment--that maintains that UNIX is a computer virus with a user interface. It features letters from the thousands posted on the Internet's "UNIX-Haters" mailing list. It is not a computer handbook, tutorial, or reference. It is a self-help book that will let readers know they are not alone.

    Over the past five years, authors Dustin Boswell and Trevor Foucher have analyzed hundreds of examples of "bad code" (much of it their own) to determine why they’re bad and how they could be improved. Their conclusion? You need to write code that minimizes the time it would take someone else to understand it—even if that someone else is you.This book focuses on basic principles and practical techniques you can apply every time you write code. Using easy-to-digest code examples from different languages, each chapter dives into a different aspect of coding, and demonstrates how you can make your code easy to understand.Simplify naming, commenting, and formatting with tips that apply to every line of codeRefine your program’s loops, logic, and variables to reduce complexity and confusionAttack problems at the function level, such as reorganizing blocks of code to do one task at a timeWrite effective test code that is thorough and concise—as well as readable"Being aware of how the code you create affects those who look at it later is an important part of developing software. The authors did a great job in taking you through the different aspects of this challenge, explaining the details with instructive examples." —Michael Hunger, passionate Software Developer

    How can you work with it efficiently? Recently updated for Spark 1.3, this book introduces Apache Spark, the open source cluster computing system that makes data analytics fast to write and fast to run. With Spark, you can tackle big datasets quickly through simple APIs in Python, Java, and Scala. This edition includes new information on Spark SQL, Spark Streaming, setup, and Maven coordinates. Written by the developers of Spark, this book will have data scientists and engineers up and running in no time. You’ll learn how to express parallel jobs with just a few lines of code, and cover applications from simple batch jobs to stream processing and machine learning. Quickly dive into Spark capabilities such as distributed datasets, in-memory caching, and the interactive shell Leverage Spark’s powerful built-in libraries, including Spark SQL, Spark Streaming, and MLlib Use one programming paradigm instead of mixing and matching tools like Hive, Hadoop, Mahout, and Storm Learn how to deploy interactive, batch, and streaming applications Connect to data sources including HDFS, Hive, JSON, and S3 Master advanced topics like data partitioning and shared variables

    It provides everything you need to know about modern JavaScript, and shows what JavaScript can do for your web sites. This book doesn't waste any time looking at things you already know, like basic syntax and structures.Expert web developer and author John Resig concentrates on fundamental, vital topics--what modern JavaScripting is (and isnt), the current state of browser support, and pitfalls to be wary of. The book is organized into four sections:Modern JavaScript development using JavaScript the object-oriented way, creating reusable code, plus testing and debugging DOM scripting updating content and styles, plus events, and effect and event libraries How Ajax works, overcoming problems, and using libraries to speed up development of Ajax applications The future of JavaScript looking at cutting edge topics like JSON, HTML5, and moreAll concepts are backed up by real-world examples and case studies, and John provides numerous reusable functions and classes to save you time in your development. There are also up-to-date reference appendixes for the DOM, events, browser support (including IE7), and frameworks, so you can look up specific details quickly and easily.

    Not only will you learn about the enterprise class features in the 9.2 release, you’ll also discover that PostgeSQL is more than just a database system—it’s also an impressive application platform.With numerous examples throughout this book, you’ll learn how to achieve tasks that are difficult or impossible in other databases. If you’re an existing PostgreSQL user, you’ll pick up gems you may have missed along the way.Learn basic administration tasks, such as role management, database creation, backup, and restoreApply the psql command-line utility and the pgAdmin graphical administration toolExplore PostgreSQL tables, constraints, and indexesLearn powerful SQL constructs not generally found in other databasesUse several different languages to write database functionsTune your queries to run as fast as your hardware will allowQuery external and variegated data sources with Foreign Data WrappersLearn how to replicate data, using built-in replication features