Joblib

Joblib is a lightweight Python library for efficient serialization, caching, and parallel computing. It helps developers and data scientists save and load Python objects quickly, cache intermediate computations, and run tasks in parallel using multiple CPU cores.

Features of Joblib:

• Efficient serialization of Python objects using joblib.dump() and joblib.load().
• Caching of function outputs to speed up repeated computations using joblib.Memory.
• Parallel computation support for CPU-intensive tasks using joblib.Parallel.
• Optimized for handling large NumPy arrays and other data-heavy Python objects.
• Easy integration with scikit-learn and other Python data science libraries.

To check the version of Joblib:

$ sudo su
$ docker pull python:3.12
$ docker run -it python:3.12 bash
$ python -c "import joblib; print(joblib.__version__)"
  

Disclaimer: Joblib is an independent open-source Python library provided under the BSD license. It is offered "as is" without any warranty, express or implied. Users are responsible for understanding its usage, compatibility, and integration with their Python projects.