Joblib

Joblib is an open-source Python library designed for efficient parallel computing, lightweight pipelining, and disk-based caching. It helps developers accelerate data processing and machine learning workflows by executing tasks concurrently, caching intermediate results, and efficiently serializing large Python objects.

• Execute computational tasks in parallel using multiple CPU cores.
• Cache intermediate results to avoid unnecessary recomputation and improve performance.
• Efficiently serialize and store large Python objects with optimized persistence.
• Seamlessly integrate with scikit-learn and other Python machine learning libraries.
• Improve the performance of machine learning, scientific computing, and data analysis workflows.

Joblib Usage:

$ sudo su
$ apt update
$ cd /opt/joblib
$ source venv/bin/activate
$ python -c "import joblib; print(joblib.__version__)"