You are analyzing a large dataset and need to optimize the performance of your Pandas operations. Describe key considerations you would keep in mind when working with large datasets, particularly regarding memory usage and computation efficiency.

To optimize performance, I would: 1. Use the appropriate data types (e.g., category data type for categorical variables) to reduce memory usage. 2. Leverage chunking for reading large CSV files and use libraries like Dask for out-of-core computation. 3. Filter data early in the pipeline to minimize the size of DataFrames before processing.