Pandarallel -

: While pandarallel can offer significant speedups, there's always some overhead involved in creating and managing parallel processes. For smaller datasets, this might negate the benefits of parallelization.

df = pd.DataFrame(np.random.rand(1000, 1000)) pandarallel

# Setup from pandarallel import pandarallel pandarallel.initialize(progress_bar=True) : While pandarallel can offer significant speedups, there's