What are the main differences between NumPy and Pandas data structures?
NumPy primarily provides support for large, multi-dimensional arrays and matrices, while Pandas offers data structures like Series and DataFrames for handling labeled data.
When should I use NumPy over Pandas?
Use NumPy when you need high-performance operations on numerical data, especially for mathematical computations. Pandas is better for data manipulation and analysis.
Can you give an example of when to use a DataFrame?
Sure! Use a DataFrame when you have tabular data, like a CSV file, where you need to perform operations like filtering, grouping, or aggregating.
Are there any performance differences between them?
Yes, NumPy is generally faster for numerical computations due to its optimized C backend, while Pandas may be slower due to its additional features for data manipulation.
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