Create Kata Codewars


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Test-driven Development


Test-driven Development

Author: Kent Beck

language: en

Publisher: Addison-Wesley Professional

Release Date: 2003


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About software development through constant testing.

97 Things Every Java Programmer Should Know


97 Things Every Java Programmer Should Know

Author: Kevlin Henney

language: en

Publisher: "O'Reilly Media, Inc."

Release Date: 2020-05-15


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If you want to push your Java skills to the next level, this book provides expert advice from Java leaders and practitioners. You’ll be encouraged to look at problems in new ways, take broader responsibility for your work, stretch yourself by learning new techniques, and become as good at the entire craft of development as you possibly can. Edited by Kevlin Henney and Trisha Gee, 97 Things Every Java Programmer Should Know reflects lifetimes of experience writing Java software and living with the process of software development. Great programmers share their collected wisdom to help you rethink Java practices, whether working with legacy code or incorporating changes since Java 8. A few of the 97 things you should know: "Behavior Is Easy, State Is Hard"—Edson Yanaga “Learn Java Idioms and Cache in Your Brain”—Jeanne Boyarsky “Java Programming from a JVM Performance Perspective”—Monica Beckwith "Garbage Collection Is Your Friend"—Holly K Cummins “Java's Unspeakable Types”—Ben Evans "The Rebirth of Java"—Sander Mak “Do You Know What Time It Is?”—Christin Gorman

Knowledge Science, Engineering and Management


Knowledge Science, Engineering and Management

Author: Cungeng Cao

language: en

Publisher: Springer Nature

Release Date: 2024-07-26


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The five-volume set LNCS 14884, 14885, 14886, 14887 & 14888 constitutes the refereed deadline proceedings of the 17th International Conference on Knowledge Science, Engineering and Management, KSEM 2024, held in Birmingham, UK, during August 16–18, 2024. The 160 full papers presented in these proceedings were carefully reviewed and selected from 495 submissions. The papers are organized in the following topical sections: Volume I: Knowledge Science with Learning and AI (KSLA) Volume II: Knowledge Engineering Research and Applications (KERA) Volume III: Knowledge Management with Optimization and Security (KMOS) Volume IV: Emerging Technology Volume V: Special Tracks