Test-Driven JavaScript Development is a complete, best-practice guide to agile JavaScript testing and quality assurance with the test-driven development (TDD) methodology. Leading agile JavaScript developer Christian Johansen covers all aspects of applying state-of-the-art automated testing in JavaScript environments, walking readers through the entire development lifecycle, from project launch to application deployment, and beyond.Using real-life examples driven by unit tests, Johansen shows how to use TDD to gain greater confidence in your code base, so you can fearlessly refactor and build more robust, maintainable, and reliable JavaScript code at lower cost. Throughout, he addresses crucial issues ranging from code design to performance optimization, offering realistic solutions for developers, QA specialists, and testers.Coverage includes - Understanding automated testing and TDD - Building effective automated testing workflows - Testing code for both browsers and servers (using Node.js) - Using TDD to build cleaner APIs, better modularized code, and more robust software - Writing testable code - Using test stubs and mocks to test units in isolation - Continuously improving code through refactoring - Walking through the construction and automated testing of fully functional softwareThe accompanying Web site, tddjs.com, contains all of the book's code listings and additional resources.

    Updated for Python 3, this expanded edition shows you how to locate performance bottlenecks and significantly speed up your code in high-data-volume programs. By exploring the fundamental theory behind design choices, High Performance Python helps you gain a deeper understanding of Python's implementation.How do you take advantage of multicore architectures or clusters? Or build a system that scales up and down without losing reliability? Experienced Python programmers will learn concrete solutions to many issues, along with war stories from companies that use high-performance Python for social media analytics, productionized machine learning, and more.Get a better grasp of NumPy, Cython, and profilersLearn how Python abstracts the underlying computer architectureUse profiling to find bottlenecks in CPU time and memory usageWrite efficient programs by choosing appropriate data structuresSpeed up matrix and vector computationsUse tools to compile Python down to machine codeManage multiple I/O and computational operations concurrentlyConvert multiprocessing code to run on local or remote clustersDeploy code faster using tools like Docker

    Stylin with CSS teaches you everything you need to know start using CSS in your web development work, from the basics of markup of your content and styling text, through to creating multi-column page layouts without the use of tables. Learn how to create interface components, such as drop-down menus, navigation links, and animated graphical buttons, using only CSS no JavaScript required. Discover how to design code that will work on the latest standard-compliant browsers, while working around the quirks of the older browsers. With a mastery of CSS, your web design capabilities will move to a new level, and everything you need to know to get your started and build your skills is right here in this book. You ll be stylin in no time!"

    

    It is very readable and the stress many beginners face about memorizing arcane syntax typically presented by other programming languages will not affect you at all. Conversely, you will be able to concentrate on learning concepts and paradigms of programming. This book shall introduce you to an easy way to learn Python in just 7 days and in this time, be able to complete your own projects! By reading the book and implementing what you learn herein, you will realize just why major institutions like NASA, Google, Mozilla, Yahoo, Dropbox, IBM, Facebook and many others prefer to use python in their core products, services and business processes. Let

    This concise book shows you how to use the API to perform set operations with the DbSet class, handle change tracking and resolve concurrency conflicts with the Change Tracker API, and validate changes to your data with the Validation API.With DbContext, you’ll be able to query and update data, whether you’re working with individual objects or graphs of objects and their related data. You’ll find numerous C# code samples to help you get started. All you need is experience with Visual Studio and database management basics.Use EF’s query capabilities to retrieve data, and use LINQ to sort and filter dataLearn how to add new data, and change and delete existing dataUse the Change Tracker API to access information EF keeps about the state of entity instancesControl change tracking information of entities in disconnected scenarios, including NTier applicationsValidate data changes before they’re sent to the database, and set up validation rulesBypass EF’s query pipeline and interact directly with the database

    This one's a keeper." --Robert C. Martin "If you want to be an expert in the state of the art in TDD, you need to understand the ideas in this book."--Michael Feathers Test-Driven Development (TDD) is now an established technique for delivering better software faster. TDD is based on a simple idea: Write tests for your code before you write the code itself. However, this simple idea takes skill and judgment to do well. Now there's a practical guide to TDD that takes you beyond the basic concepts. Drawing on a decade of experience building real-world systems, two TDD pioneers show how to let tests guide your development and "grow" software that is coherent, reliable, and maintainable. Steve Freeman and Nat Pryce describe the processes they use, the design principles they strive to achieve, and some of the tools that help them get the job done. Through an extended worked example, you'll learn how TDD works at multiple levels, using tests to drive the features and the object-oriented structure of the code, and using Mock Objects to discover and then describe relationships between objects. Along the way, the book systematically addresses challenges that development teams encounter with TDD--from integrating TDD into your processes to testing your most difficult features. Coverage includes - Implementing TDD effectively: getting started, and maintaining your momentum throughout the project - Creating cleaner, more expressive, more sustainable code - Using tests to stay relentlessly focused on sustaining quality - Understanding how TDD, Mock Objects, and Object-Oriented Design come together in the context of a real software development project - Using Mock Objects to guide object-oriented designs - Succeeding where TDD is difficult: managing complex test data, and testing persistence and concurrency

    You can think of Python as your tool to solve problems that are far beyond the capability of a spreadsheet. It is an easy-to-use and easy-to learn programming language that is freely available on Windows, Macintosh, and Linux computers. There are free downloadable copies of this book in various electronic formats and a self-paced free online course where you can explore the course materials. All the supporting materials for the book are available under open and remixable licenses. This book is designed to teach people to program even if they have no prior experience.

    There can be so much information available that you can't even decide where to start. Or worse, you start down the path of learning and quickly discover too many concepts, commands, and nuances that aren't explained. This kind of experience is frustrating and leaves you with more questions than answers.Python Programming for Beginners doesn't make any assumptions about your background or knowledge of Python or computer programming. You need no prior knowledge to benefit from this book. You will be guided step by step using a logical and systematic approach. As new concepts, commands, or jargon are encountered they are explained in plain language, making it easy for anyone to understand. Here is what you will learn by reading Python Programming for Beginners: When to use Python 2 and when to use Python 3. How to install Python on Windows, Mac, and Linux. Screenshots included. How to prepare your computer for programming in Python. The various ways to run a Python program on Windows, Mac, and Linux. Suggested text editors and integrated development environments to use when coding in Python. How to work with various data types including strings, lists, tuples, dictionaries, booleans, and more. What variables are and when to use them. How to perform mathematical operations using Python. How to capture input from a user. Ways to control the flow of your programs. The importance of white space in Python. How to organize your Python programs -- Learn what goes where. What modules are, when you should use them, and how to create your own. How to define and use functions. Important built-in Python functions that you'll use often. How to read from and write to files. The difference between binary and text files. Various ways of getting help and find Python documentation. Much more... Every single code example in the book is available to download, providing you with all the Python code you need at your fingertips! Scroll up, click the Buy Now With 1 Click button and get started learning Python today!

    In this concise book, JavaScript expert Cody Lindley (jQuery Cookbook) provides an accurate view of the language by examining its objects and supporting nuances.Libraries and frameworks help you build web applications quickly and efficiently, but when things go wrong or performance becomes an issue, knowing how and why they work is critical. If you're ready to go under the hood and get your hands dirty with JavaScript internals, this is your book. Get a short and digestible summary of ECMA-262, Edition 3, backed by real code you can run instantly Examine the creation of JavaScript objects Learn complex values, primitive values, scope, and inheritance Understand the importance of the head object Work with string, number, and Boolean objects and values Discover how to use the null value and the built-in math object Get into the details--beyond Mozilla's reference guide for JavaScript 1.5

    The open nature of the Android OS offers programmers the freedom to access the platform's capabilities and this straightforward guide walks you through the steps for creating amazing Android applications. Android programming expert Donn Felker explains how to download the SDK, get Eclipse up and running, code Android applications, and submit your finished products to the Android Market. Featuring two sample programs, this introductory book explores everything from the simple basics to more advanced aspects of the Android platform.Takes you soup through nuts of developing applications for the Android platform Begins with downloading the SDK, then explains how to code Android applications and submit projects to the Android Market Written by Android guru Donn Felker, who breaks every aspect of developing applications for the Android platform into easily digestible pieces No matter your level of programming experience, Android Application Development For Dummies is an ideal guide for getting started with developing applications for the Android platform.

    Itzik Ben-Gan explains key T-SQL concepts and helps you apply your knowledge with hands-on exercises. The book first introduces T-SQL's roots and underlying logic. Next, it walks you through core topics such as single-table queries, joins, subqueries, table expressions, and set operators. Then the book covers more-advanced data-query topics such as window functions, pivoting, and grouping sets. The book also explains how to modify data, work with temporal tables, and handle transactions, and provides an overview of programmable objects. Microsoft Data Platform MVP Itzik Ben-Gan shows you how to: Review core SQL concepts and its mathematical roots Create tables and enforce data integrity Perform effective single-table queries by using the SELECT statement Query multiple tables by using joins, subqueries, table expressions, and set operators Use advanced query techniques such as window functions, pivoting, and grouping sets Insert, update, delete, and merge data Use transactions in a concurrent environment Get started with programmable objects-from variables and batches to user-defined functions, stored procedures, triggers, and dynamic SQL

    In Eloquent Ruby, Russ Olsen helps you write Ruby like true Rubyists do-so you can leverage its immense, surprising power. Olsen draws on years of experience internalizing the Ruby culture and teaching Ruby to other programmers. He guides you to the "Ah Ha!" moments when it suddenly becomes clear why Ruby works the way it does, and how you can take advantage of this language's elegance and expressiveness. Eloquent Ruby starts small, answering tactical questions focused on a single statement, method, test, or bug. You'll learn how to write code that actually looks like Ruby (not Java or C#); why Ruby has so many control structures; how to use strings, expressions, and symbols; and what dynamic typing is really good for. Next, the book addresses bigger questions related to building methods and classes. You'll discover why Ruby classes contain so many tiny methods, when to use operator overloading, and when to avoid it. Olsen explains how to write Ruby code that writes its own code-and why you'll want to. He concludes with powerful project-level features and techniques ranging from gems to Domain Specific Languages. A part of the renowned Addison-Wesley Professional Ruby Series, Eloquent Ruby will help you "put on your Ruby-colored glasses" and get results that make you a true believer.

    It turns out that all the buzz is well earned. I think this is the best book currently available for learning Python. I would recommend Chun's book over Learning Python (O'Reilly), Programming Python (O'Reilly), or The Quick Python Book (Manning)." --David Mertz, Ph.D., IBM DeveloperWorks(R) "I have been doing a lot of research [on] Python for the past year and have seen a number of positive reviews of your book. The sentiment expressed confirms the opinion that Core Python Programming is now considered the standard introductory text." --Richard Ozaki, Lockheed Martin "Finally, a book good enough to be both a textbook and a reference on the Python language now exists." --Michael Baxter, Linux Journal "Very well written. It is the clearest, friendliest book I have come across yet for explaining Python, and putting it in a wider context. It does not presume a large amount of other experience. It does go into some important Python topics carefully and in depth. Unlike too many beginner books, it never condescends or tortures the reader with childish hide-and-seek prose games. [It] sticks to gaining a solid grasp of Python syntax and structure." --http: //python.org bookstore Web site "[If ] I could only own one Python book, it would be Core Python Programming by Wesley Chun. This book manages to cover more topics in more depth than Learning Python but includes it all in one book that also more than adequately covers the core language. [If] you are in the market for just one book about Python, I recommend this book. You will enjoy reading it, including its wry programmer's wit. More importantly, you will learn Python. Even more importantly, you will find it invaluable in helping you in your day-to-day Python programming life. Well done, Mr. Chun!" --Ron Stephens, Python Learning Foundation "I think the best language for beginners is Python, without a doubt. My favorite book is Core Python Programming." --s003apr, MP3Car.com Forums "Personally, I really like Python. It's simple to learn, completely intuitive, amazingly flexible, and pretty darned fast. Python has only just started to claim mindshare in the Windows world, but look for it to start gaining lots of support as people discover it. To learn Python, I'd start with Core Python Programming by Wesley Chun." --Bill Boswell, MCSE, Microsoft Certified Professional Magazine Online "If you learn well from books, I suggest Core Python Programming. It is by far the best I've found. I'm a Python newbie as well and in three months time I've been able to implement Python in projects at work (automating MSOffice, SQL DB stuff, etc.)." --ptonman, Dev Shed Forums "Python is simply a beautiful language. It's easy to learn, it's cross-platform, and it works. It has achieved many of the technical goals that Java strives for. A one-sentence description of Python would be: 'All other languages appear to have evolved over time--but Python was designed.' And it was designed well. Unfortunately, there aren't a large number of books for Python. The best one I've run across so far is Core Python Programming." --Chris Timmons, C. R. Timmons Consulting "If you like the Prentice Hall Core series, another good full-blown treatment to consider would be Core Python Programming. It addresses in elaborate concrete detail many practical topics that get little, if any, coverage in other books." --Mitchell L Model, MLM Consulting "Core Python Programming is an amazingly easy read! The liberal use of examples helps clarify some of the more subtle points of the language. And the comparisons to languages with which I'm already familiar (C/C++/Java) get you programming in record speed." --Michael Santos, Ph.D., Green Hills Software The Complete Developer's Guide to Python New to Python? The definitive guide to Python development for experienced programmersCovers core language features thoroughly, including those found in the latest Python releases--learn more than just the syntax!Learn advanced topics such as regular expressions, networking, multithreading, GUI, Web/CGI, and Python extensionsIncludes brand-new material on databases, Internet clients, Java/Jython, and Microsoft Office, plus Python 2.6 and 3Presents hundreds of code snippets, interactive examples, and practical exercises to strengthen your Python skills Python is an agile, robust, expressive, fully object-oriented, extensible, and scalable programming language. It combines the power of compiled languages with the simplicity and rapid development of scripting languages. In Core Python Programming, Second Edition , leading Python developer and trainer Wesley Chun helps you learn Python quickly and comprehensively so that you can immediately succeed with any Python project. Using practical code examples, Chun introduces all the fundamentals of Python programming: syntax, objects and memory management, data types, operators, files and I/O, functions, generators, error handling and exceptions, loops, iterators, functional programming, object-oriented programming and more. After you learn the core fundamentals of Python, he shows you what you can do with your new skills, delving into advanced topics, such as regular expressions, networking programming with sockets, multithreading, GUI development, Web/CGI programming and extending Python in C. This edition reflects major enhancements in the Python 2.x series, including 2.6 and tips for migrating to 3. It contains new chapters on database and Internet client programming, plus coverage of many new topics, including new-style classes, Java and Jython, Microsoft Office (Win32 COM Client) programming, and much more. Learn professional Python style, best practices, and good programming habitsGain a deep understanding of Python's objects and memory model as well as its OOP features, including those found in Python's new-style classesBuild more effective Web, CGI, Internet, and network and other client/server applicationsLearn how to develop your own GUI applications using Tkinter and other toolkits available for PythonImprove the performance of your Python applications by writing extensions in C and other languages, or enhance I/O-bound applications by using multithreadingLearn about Python's database API and how to use a variety of database systems with Python, including MySQL, Postgres, and SQLiteFeatures appendices on Python 2.6 & 3, including tips on migrating to the next generation! Core Python Programming delivers Systematic, expert coverage of Python's core featuresPowerful insights for developing complex applicationsEasy-to-use tables and charts detailing Python modules, operators, functions, and methodsDozens of professional-quality code examples, from quick snippets to full-fledged applications