// MODEL OPTIMIZATION AND PROMPT SYNTAX TERM
Dask
Dask helps Python users work with large datasets that don't fit into memory or speed up computations by using multiple processors. It breaks big problems into smaller pieces that can be processed in parallel.
TECHNICAL DEFINITION
Dask is an open-source Python library for parallel computing and scalable analytics, enabling out-of-core processing and distributed execution across clusters for NumPy arrays, Pandas DataFrames, and custom workflows.
SYNONYMS & ALIASES
- Distributed Python
- Parallel computing
- Scalable analytics
- Big data Python
USAGE NOTE
Dask is often used in data science and machine learning for scaling computations beyond single-machine limits.