What are the best practices for using arrays in Python?
When using arrays in Python, it's important to consider readability, performance, and the choice of data structure. For example, using lists for dynamic arrays and NumPy arrays for numerical data can enhance performance.
Can you explain why NumPy is preferred for numerical data?
NumPy is preferred for numerical data because it provides efficient storage and operations on large arrays, along with a wide range of mathematical functions.
What are some common mistakes to avoid when working with arrays?
Common mistakes include using the wrong data type, not preallocating space for large arrays, and misunderstanding array indexing.
How can I improve the performance of my array operations?
You can improve performance by using vectorized operations with NumPy, minimizing loops, and leveraging built-in functions.
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