dask

1# Dask
2 
3## Overview
4 
5Dask is a Python library for parallel and distributed computing that enables three critical capabilities:
6- **Larger-than-memory execution** on single machines for data exceeding available RAM
7- **Parallel processing** for improved computational speed across multiple cores
8- **Distributed computation** supporting terabyte-scale datasets across multiple machines
9 
10Capacity depends on partition sizes, intermediate data, concurrency, storage, and available memory.
11 
12**Reviewed release:** dask/distributed **2026.8.0** (September 30, 2026 review). Docs: [docs.dask.org](https://docs.dask.org/en/stable/). Since **2025.1.0**, the expression-based DataFrame API with query planning is the only implementation — do not install `dask-expr` separately or set `dataframe.query-planning: False`.
13 
14## Quick Start
15 
16### Installation
17 
18```bash
19uv pip install "dask[array,dataframe]==2026.8.0"
20```
21 
22For a typical pandas/NumPy workflow with the distributed scheduler and dashboard:
23 
24```bash
25uv pip install "dask[complete]==2026.8.0"
26```
27 
28Remote object storage (requires provider credentials for private data):
29 
30```bash
31uv pip install s3fs    # s3:// paths
32uv pip install gcsfs   # gs:// paths
33```
34…