How to Perform Memory-Efficient Operations on Large Datasets with Pandas

Learn effective techniques to handle and perform memory-efficient operations on large datasets using Pandas. Tips include using the `low_memory` parameter when loading data, converting data types, processing data in chunks, and employing vectorized operations instead of `apply` with lambda functions. Additional suggestions include using `inplace=True` for DataFrame modifications and filtering data before performing operations.