How can I design scalable algorithms?
An example of an AI chatbot conversation about designing scalable algorithms.
What are some key principles for designing scalable algorithms?
Key principles include modularity, efficiency, and adaptability to changing data sizes.
Can you explain how modularity helps in scalability?
Modularity allows you to break down complex problems into smaller, manageable parts, making it easier to optimize and scale.
What are some common pitfalls to avoid when designing scalable algorithms?
Common pitfalls include over-optimizing prematurely, ignoring data growth patterns, and not considering parallel processing.
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