According to DeepLearning.AI, arrays should be chosen when you need fast, indexed access and efficient storage of homogenous data types, especially for tasks like financial time series analysis or high-frequency crypto trading algorithms (source: DeepLearning.AI, May 6, 2025). When handling billions of data points, the performance of arrays allows for rapid computation and precise memory management, which is essential for real-time crypto price feeds and on-chain data analytics. The clip also highlights how Large Language Models (LLMs) can assist developers in selecting optimal data structures, directly impacting the speed and scalability of trading bots and blockchain analytics platforms (source: DeepLearning.AI, May 6, 2025).