Kent Beck's Guide to Better Smalltalk

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Publisher : Cambridge University Press
ISBN 13 : 9780521644372
Total Pages : 432 pages
Book Rating : 4.72/5 ( download)

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Book Synopsis Kent Beck's Guide to Better Smalltalk by : Kent Beck

Download or read book Kent Beck's Guide to Better Smalltalk written by Kent Beck and published by Cambridge University Press. This book was released on 1999 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written for Smalltalk programmers, this book is designed to help readers become more effective Smalltalk developers and object technology users.

Smalltalk Best Practice Patterns

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Publisher : Prentice Hall
ISBN 13 : 0132852128
Total Pages : 280 pages
Book Rating : 4.28/5 ( download)

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Book Synopsis Smalltalk Best Practice Patterns by : Kent Beck

Download or read book Smalltalk Best Practice Patterns written by Kent Beck and published by Prentice Hall. This book was released on 1996-10-03 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: This classic book is the definitive real-world style guide for better Smalltalk programming. This author presents a set of patterns that organize all the informal experience successful Smalltalk programmers have learned the hard way. When programmers understand these patterns, they can write much more effective code. The concept of Smalltalk patterns is introduced, and the book explains why they work. Next, the book introduces proven patterns for working with methods, messages, state, collections, classes and formatting. Finally, the book walks through a development example utilizing patterns. For programmers, project managers, teachers and students -- both new and experienced. This book presents a set of patterns that organize all the informal experience of successful Smalltalk programmers. This book will help you understand these patterns, and empower you to write more effective code.

Extreme Programming Explained

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Publisher : Pearson Education
ISBN 13 : 0321278658
Total Pages : 218 pages
Book Rating : 4.54/5 ( download)

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Book Synopsis Extreme Programming Explained by : Kent Beck

Download or read book Extreme Programming Explained written by Kent Beck and published by Pearson Education. This book was released on 2004 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: Accountability. Transparency. Responsibility. These are not words that are often applied to software development. In this completely revised introduction to Extreme Programming (XP), Kent Beck describes how to improve your software development by integrating these highly desirable concepts into your daily development process. The first edition of Extreme Programming Explained is a classic. It won awards for its then-radical ideas for improving small-team development, such as having developers write automated tests for their own code and having the whole team plan weekly. Much has changed in five years. This completely rewritten second edition expands the scope of XP to teams of any size by suggesting a program of continuous improvement based on.

Object-Oriented Reengineering Patterns

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Publisher : Morgan Kaufmann
ISBN 13 : 1558606394
Total Pages : 307 pages
Book Rating : 4.95/5 ( download)

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Book Synopsis Object-Oriented Reengineering Patterns by : Serge Demeyer

Download or read book Object-Oriented Reengineering Patterns written by Serge Demeyer and published by Morgan Kaufmann. This book was released on 2003 with total page 307 pages. Available in PDF, EPUB and Kindle. Book excerpt: A guide on how to reverse engineer legacy systems to understand their problems, and then reengineer those systems to meet new demands. It uses patterns to clarify and explain the process of understanding large code bases, hence transforming them to meet new requirements.

Testing ASP.NET Web Applications

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Publisher : John Wiley & Sons
ISBN 13 : 1118081226
Total Pages : 432 pages
Book Rating : 4.28/5 ( download)

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Book Synopsis Testing ASP.NET Web Applications by : Jeff McWherter

Download or read book Testing ASP.NET Web Applications written by Jeff McWherter and published by John Wiley & Sons. This book was released on 2011-06-15 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: A unique resource that combines all aspects of Web testing and makes it completely specific to ASP.NET As Microsoft's key Web technology for creating dynamic, data-driven Web sites and Web applications, ASP.NET is incredibly popular. This is the first book to combine several testing topics and make them specific to ASP.NET. The author duo of Microsoft MVPs covers both the test-driven development approach and the specifics of automated user interface testing; performance, load, and stress testing; accessibility testing; and security testing. This definitive guide walks you through the many testing pitfalls you might experience when developing ASP.NET applications. The authors explain the fundamental concepts of testing and demystify all the correct actions you need to consider and the tools that are available so that you may successfully text your application. Author duo of Microsoft MVPs offer a unique resource: a combination of several testing topics and making them specific to ASP.NET, Microsoft's key Web technology for creating dynamic, data-driven Web sites and applications Guides you through the many testing pitfalls you may experience when developing ASP.NET applications Reviews the fundamental concepts of testing and walks you through the various tools and techniques available and for successfully testing an application Discusses several different types of testing: acceptance, stress, accessibility, and security Examines various testing tools, such as nUnit, VS test suite, WCAT, Selenium, Fiddler, Firebug, and more This one-of-a-kind resource will help you become proficient in successfull application testing.

Refactoring

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Publisher : Addison-Wesley Professional
ISBN 13 : 0201485672
Total Pages : 461 pages
Book Rating : 4.77/5 ( download)

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Book Synopsis Refactoring by : Martin Fowler

Download or read book Refactoring written by Martin Fowler and published by Addison-Wesley Professional. This book was released on 1999 with total page 461 pages. Available in PDF, EPUB and Kindle. Book excerpt: Refactoring is gaining momentum amongst the object oriented programming community. It can transform the internal dynamics of applications and has the capacity to transform bad code into good code. This book offers an introduction to refactoring.

Working Effectively with Legacy Code

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Publisher : Prentice Hall Professional
ISBN 13 : 0132931753
Total Pages : 457 pages
Book Rating : 4.55/5 ( download)

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Book Synopsis Working Effectively with Legacy Code by : Michael Feathers

Download or read book Working Effectively with Legacy Code written by Michael Feathers and published by Prentice Hall Professional. This book was released on 2004-09-22 with total page 457 pages. Available in PDF, EPUB and Kindle. Book excerpt: Get more out of your legacy systems: more performance, functionality, reliability, and manageability Is your code easy to change? Can you get nearly instantaneous feedback when you do change it? Do you understand it? If the answer to any of these questions is no, you have legacy code, and it is draining time and money away from your development efforts. In this book, Michael Feathers offers start-to-finish strategies for working more effectively with large, untested legacy code bases. This book draws on material Michael created for his renowned Object Mentor seminars: techniques Michael has used in mentoring to help hundreds of developers, technical managers, and testers bring their legacy systems under control. The topics covered include Understanding the mechanics of software change: adding features, fixing bugs, improving design, optimizing performance Getting legacy code into a test harness Writing tests that protect you against introducing new problems Techniques that can be used with any language or platform—with examples in Java, C++, C, and C# Accurately identifying where code changes need to be made Coping with legacy systems that aren't object-oriented Handling applications that don't seem to have any structure This book also includes a catalog of twenty-four dependency-breaking techniques that help you work with program elements in isolation and make safer changes.

Smalltalk by Example

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Publisher : McGraw-Hill Companies
ISBN 13 : 9780079130365
Total Pages : 0 pages
Book Rating : 4.64/5 ( download)

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Book Synopsis Smalltalk by Example by : Alec Sharp

Download or read book Smalltalk by Example written by Alec Sharp and published by McGraw-Hill Companies. This book was released on 1997 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: As Smalltalk is embraced by a growing number of corporate information systems departments, career prospects for programmers with Smalltalk development skills have never been better. This practical guide takes programmers beyond the basics, teaching them how to develop enteprise-class applications that provide real world solutions.

Domain-driven Design

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Publisher : Addison-Wesley Professional
ISBN 13 : 0321125215
Total Pages : 563 pages
Book Rating : 4.17/5 ( download)

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Book Synopsis Domain-driven Design by : Eric Evans

Download or read book Domain-driven Design written by Eric Evans and published by Addison-Wesley Professional. This book was released on 2004 with total page 563 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Domain-Driven Design" incorporates numerous examples in Java-case studies taken from actual projects that illustrate the application of domain-driven design to real-world software development.

Grokking Deep Learning

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Publisher : Simon and Schuster
ISBN 13 : 163835720X
Total Pages : 475 pages
Book Rating : 4.09/5 ( download)

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Book Synopsis Grokking Deep Learning by : Andrew W. Trask

Download or read book Grokking Deep Learning written by Andrew W. Trask and published by Simon and Schuster. This book was released on 2019-01-23 with total page 475 pages. Available in PDF, EPUB and Kindle. Book excerpt: Summary Grokking Deep Learning teaches you to build deep learning neural networks from scratch! In his engaging style, seasoned deep learning expert Andrew Trask shows you the science under the hood, so you grok for yourself every detail of training neural networks. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Deep learning, a branch of artificial intelligence, teaches computers to learn by using neural networks, technology inspired by the human brain. Online text translation, self-driving cars, personalized product recommendations, and virtual voice assistants are just a few of the exciting modern advancements possible thanks to deep learning. About the Book Grokking Deep Learning teaches you to build deep learning neural networks from scratch! In his engaging style, seasoned deep learning expert Andrew Trask shows you the science under the hood, so you grok for yourself every detail of training neural networks. Using only Python and its math-supporting library, NumPy, you'll train your own neural networks to see and understand images, translate text into different languages, and even write like Shakespeare! When you're done, you'll be fully prepared to move on to mastering deep learning frameworks. What's inside The science behind deep learning Building and training your own neural networks Privacy concepts, including federated learning Tips for continuing your pursuit of deep learning About the Reader For readers with high school-level math and intermediate programming skills. About the Author Andrew Trask is a PhD student at Oxford University and a research scientist at DeepMind. Previously, Andrew was a researcher and analytics product manager at Digital Reasoning, where he trained the world's largest artificial neural network and helped guide the analytics roadmap for the Synthesys cognitive computing platform. Table of Contents Introducing deep learning: why you should learn it Fundamental concepts: how do machines learn? Introduction to neural prediction: forward propagation Introduction to neural learning: gradient descent Learning multiple weights at a time: generalizing gradient descent Building your first deep neural network: introduction to backpropagation How to picture neural networks: in your head and on paper Learning signal and ignoring noise:introduction to regularization and batching Modeling probabilities and nonlinearities: activation functions Neural learning about edges and corners: intro to convolutional neural networks Neural networks that understand language: king - man + woman == ? Neural networks that write like Shakespeare: recurrent layers for variable-length data Introducing automatic optimization: let's build a deep learning framework Learning to write like Shakespeare: long short-term memory Deep learning on unseen data: introducing federated learning Where to go from here: a brief guide