Example repo for using Joblib

Use parallelization to speed up runtime

• Example #1: factorial.py

  Without Parallelization

  python factorial.py
  $ Runtime: 12.571757078170776

  With Parallelization

  python factorial.py --parallel
  $ Runtime: 2.6366729736328125

  With Parallelization running two jobs

  python factorial.py --parallel --jobs 2
  $ Runtime: 6.87609601020813

• Example #2: fashion.py

  Before running this example, you must first download the Kaggle Data and place on root folder as dress.csv

  Without Parallelization

  python fashion.py
  $ Runtime: 161.30089116096497

  With Parallelization

  python fashion.py --parallel
  $ Runtime: 20.59570002555847

  With Parallelization running two jobs

  python fashion.py --parallel --jobs 2
  $ Runtime: 79.21092510223389