Pandas' operations do not support parallelization. As a result, it adheres to a single-core computation, even when other cores are available. This makes it inefficient and challenging, especially on large datasets. "Pandarallel" allows you to parallelize its operations to multiple CPU cores - by changing just one line of code. Supported methods include apply(), applymap(), groupby(), map() and rolling().