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  • Introduction to Python for Humanists

    Series series Chapman & Hall/CRC The Python Series
    This book will introduce digital humanists at all levels of education to Python. It provides background and guidance on learning the Python computer programming language, and as it presumes no knowledge on the part of the reader about computers or coding concepts allows the reader to gradually learn the more complex tasks that are currently popular in the field of digital humanities. This book ... Read more

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  • Design Patterns: Elements of Reusable Object-Oriented Software

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  • Domain-Specific Languages

    by Martin Fowler ...
    Series series Addison-Wesley Signature Series (Fowler)
    When carefully selected and used, Domain-Specific Languages (DSLs) may simplify complex code, promote effective communication with customers, improve productivity, and unclog development bottlenecks. In Domain-Specific Languages, noted software development expert Martin Fowler first provides the information software professionals need to decide if and when to utilize DSLs. Then, where DSLs prove ... Read more

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  • The Little Book on CoffeeScript

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    Software development today is embracing functional programming (FP), whether it's for writing concurrent programs or for managing Big Data. Where does that leave Java developers? This concise book offers a pragmatic, approachable introduction to FP for Java developers or anyone who uses an object-oriented language.Dean Wampler, Java expert and author of Programming Scala (O'Reilly), shows you how ... Read more

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    Develop reliable, maintainable, and robust JavaScript

    Get the most out of JavaScript for building web applications through a series of patterns, techniques, and case studies for clean codingKey FeaturesWrite maintainable JS code using internal abstraction, well-written tests, and well-documented codeUnderstand the agents of clean coding like SOLID principles, OOP, and functional programmingExplore solutions to tackle common JavaScript challenges in ... Read more

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    Many programmers code by instinct, relying on convenient habits or a "style" they picked up early on. They aren't conscious of all the choices they make, like how they format their source, the names they use for variables, or the kinds of loops they use. They're focused entirely on problems they're solving, solutions they're creating, and algorithms they're implementing. So they write code in the ... Read more

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  • Python: Real-World Data Science

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