The Pandas library has no inherent support to parallelize its operations. Thus, it always adheres to a single-core computation, even when other cores are idle. Things get even worse when we use 𝐚𝐩𝐩𝐥𝐲(). In Pandas, 𝐚𝐩𝐩𝐥𝐲() is nothing but a glorified for-loop. As a result, it cannot even take advantage of vectorization.
Parallelize Pandas Apply() With Swifter
Parallelize Pandas Apply() With Swifter
Parallelize Pandas Apply() With Swifter
The Pandas library has no inherent support to parallelize its operations. Thus, it always adheres to a single-core computation, even when other cores are idle. Things get even worse when we use 𝐚𝐩𝐩𝐥𝐲(). In Pandas, 𝐚𝐩𝐩𝐥𝐲() is nothing but a glorified for-loop. As a result, it cannot even take advantage of vectorization.