Coder, object oriented designer, trainer and blogger (feelings-erased.blogspot.com), currently working for Motorola Solutions in Poland, where he takes part in designing and coding object-oriented systems for telecom sector and training new staff in skills such as design patterns and test-driven development. in his free time, he enjoys playing acoustic guitar and spamming soundcloud with his amateur compositions.
Test Driven Development By Example Epub Download
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Clean code that works--now. This is the seeming contradiction that lies behind much of the pain of programming. Test-driven development replies to this contradiction with a paradox--test the program before you write it.
A new idea? Not at all. Since the dawn of computing, programmers have been specifying the inputs and outputs before programming precisely. Test-driven development takes this age-old idea, mixes it with modern languages and programming environments, and cooks up a tasty stew guaranteed to satisfy your appetite for clean code that works--now.
Developers face complex programming challenges every day, yet they are not always readily prepared to determine the best solution. More often than not, such difficult projects generate a great deal of stress and bad code. To garner the strength and courage needed to surmount seemingly Herculean tasks, programmers should look to test-driven development (TDD), a proven set of techniques that encourage simple designs and test suites that inspire confidence.
By driving development with automated tests and then eliminating duplication, any developer can write reliable, bug-free code no matter what its level of complexity. Moreover, TDD encourages programmers to learn quickly, communicate more clearly, and seek out constructive feedback.
This book follows two TDD projects from start to finish, illustrating techniques programmers can use to easily and dramatically increase the quality of their work. The examples are followed by references to the featured TDD patterns and refactorings. With its emphasis on agile methods and fast development strategies, Test-Driven Development is sure to inspire readers to embrace these under-utilized but powerful techniques.
Clean code that works--now. This is the seeming contradictionthat lies behind much of the pain of programming. Test-drivendevelopment replies to this contradiction with a paradox--test theprogram before you write it.
A new idea? Not at all. Since the dawn of computing, programmershave been specifying the inputs and outputs before programmingprecisely. Test-driven development takes this age-old idea, mixesit with modern languages and programming environments, and cooks upa tasty stew guaranteed to satisfy your appetite for clean codethat works--now.
Developers face complex programming challenges every day, yetthey are not always readily prepared to determine the bestsolution. More often than not, such difficult projects generate agreat deal of stress and bad code. To garner the strength andcourage needed to surmount seemingly Herculean tasks, programmersshould look to test-driven development (TDD), a proven set oftechniques that encourage simple designs and test suites thatinspire confidence.
By driving development with automated tests and then eliminatingduplication, any developer can write reliable, bug-free code nomatter what its level of complexity. Moreover, TDD encouragesprogrammers to learn quickly, communicate more clearly, and seekout constructive feedback.
This book follows two TDD projects from start to finish,illustrating techniques programmers can use to easily anddramatically increase the quality of their work. The examples arefollowed by references to the featured TDD patterns andrefactorings. With its emphasis on agile methods and fastdevelopment strategies, Test-Driven Development issure to inspire readers to embrace these under-utilized butpowerful techniques.
"Test-Driven Web Development with Python" aims to teach TDD for webprogramming. It uses a concrete example -- the development of a website,from scratch -- to explain the TDD metholology and how it applies to building web applications. It covers the Selenium browser-automation tool,unit testing, mocking, and interacting with Web technologies from the basics ofstatic content, database integration, throught the inescapable JavaScript, andonto more advanced (and trendy) topics like NoSQL, websockets and Asyncprogramming.
Prior to reviewing the literature on intervention frameworks, we needed to establish a set of criteria for evaluating their usefulness. Following this, our method involved three steps: a systematic literature review and evaluation of existing behaviour change intervention frameworks, development of a new framework, and a test of the reliability of the new framework.
Finally, a structure for the framework, in terms of organisation of components and links between them was arrived at through an iterative process of discussion and testing against specific examples and counter-examples. Linking interventions to components of the behaviour system was achieved with the help of a broad theory of motivation that encapsulated both reflective and automatic aspects, and focused on the moment to moment control of behaviour by the internal and external environment which in turn is influenced by that behaviour and the processes leading up to it [7]. Thus, for example, interventions that involved coercion could influence reflective motivation by changing conscious evaluations of the options or by establishing automatic associations between anticipation of the behaviour and negative feelings in the presence of particular cues. There is not the space to go into details of this analysis here. These can be found in [7].
Several things became apparent when reviewing the frameworks. First of all, it was clear it would be necessary to define terms describing categories of intervention more precisely than is done in everyday language in order to achieve coherence. For example, in everyday language 'education' can include 'training,' but for our purposes it was necessary to distinguish between 'education' and 'training' with the former focusing on imparting knowledge and developing understanding and the latter focusing on development of skills. Similarly we had to differentiate 'training' from 'modelling.' In common parlance, modelling could be a method used in training, but we use the term more specifically to refer to using our propensity to imitate as a motivational device. A third example is the use of the term 'enablement.' In everyday use, this could include most of the other intervention categories, but here refers to forms of enablement that are either more encompassing (as in, for example, 'behavioural support' for smoking cessation) or work through other mechanisms (as in, for example, pharmacological interventions to aid smoking cessation or surgery to enable control of calorie intake). There is not a term in the English language to describe that we intend, so rather than invent a new term we have stayed with 'enablement.'
You use the download parameter to restrict the returned results to volumes that have an availabledownload format of epub by setting the to the valueepub.The following example searches for books with an epub download available:
The accessInfo section is of particular interest in determiningwhat features are available for an eBook. An epub is a flowing textformat ebook, the epub section will have anisAvailable property indicating if this type of ebook is available.It will have a download link if there is a sample for the book or if the usercan read the book either due to having purchased it or due to it being publicdomain in the user's location. A pdf for Google books indicates ascanned pages version of the ebook with similar details such as if it isavailable and a download link. Google recommends epub files foreReaders and SmartPhones, as scanned pages may be hard to read on these devices.If there is no accessInfo section, the volume is not available as aGoogle eBook.
Half of participants in study 2 were randomly assigned to receive the same vignette they received earlier (test-retest reliability); the other half were randomly assigned to receive the exact opposite vignette they received earlier (sensitivity to change). For example, a participant who earlier received a vignette in which the factors were high-high-low would receive a vignette in which the factors are low-low-high. We stratified the random assignment across vignettes to ensure balance in the conditions for the test-retest and sensitivity analysis.
Finally, we have laid out a systematic process for measure development and testing that we believe is both replicable and feasible. In doing so, we stress the importance of clearly defining constructs and engaging in domain delineation processes that ensure that constructs are sufficiently differentiated from similar constructs. We also stress careful psychometric testing, and lay out a process for establishing substantive validity, discriminate validity, structural validity, discriminant validity, known-groups validity, test-retest reliability, and sensitivity to change. The measurement development and testing process took 15 months, suggesting that the process could be completed within the period of a grant-funded implementation study. We encourage other teams to replicate this methodology and suggest further refinements that may enhance the efficiency and effectiveness of this process.
In sum, we developed three new measures (the Acceptability of Implementation Measure, Implementation Appropriateness Measure, and Feasibility of Intervention Measure) that are considered to be important implementation outcomes in their own right as well as leading indicators of other implementation outcomes, such as adoption. Our development procedures resulted in 12 items (four for each construct) that are both valid and reliable measures of these implementation outcomes. Predictive validity will be assessed in a forthcoming prospective follow-up study. We will also subject these measures to a formal evaluation of pragmatic properties, testing features beyond their brief nature and sensitivity to change. These measures have great potential for widespread use across implementation studies regardless of intervention focus, target disease/problem, and setting because of their general wording, boosting their ability to generate cumulative knowledge. Moreover, the measure development process employed in this set of studies presents a replicable and relatively efficient method. 2ff7e9595c
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