Optimize memory usage in pandas by dropping unnecessary columns, filtering rows, and downcasting numeric types. Use the to_datetime() function for datetime columns and leverage external libraries like Dask for large datasets. Implementing these techniques enhances performance and reduces computational costs in data analysis.