The Importance of Algorithms vs. Traditional Interview Questions
The article argues that while algorithms—essential for logical thinking and akin to mathematics—are vital for programmers, interview processes often over‑emphasize theoretical, memorization‑based questions (the “八股文”), and both algorithmic and traditional questions should be balanced and studied without bias.
The author discusses the importance of algorithms in programming, referencing Niklaus Wirth's famous quote: "Algorithms + Data Structures = Programs." They compare the emphasis on algorithms versus traditional interview questions (often called "八股文"), arguing that while both are important, the current interview process often focuses too heavily on theoretical knowledge that may not be directly applicable in real-world work.
The author suggests that algorithms are crucial for developing logical thinking skills, even if most programmers don't write algorithms in their daily work. They use the analogy that algorithms are like mathematics (requiring thinking) while traditional interview questions are like language (requiring memorization), and both should be studied without bias.
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