dask
0.15.1
Getting Started
Install Dask
Use Cases
Examples
Dask Cheat Sheet
Collections
Array
Bag
DataFrame
Delayed
Futures
Machine Learning
Scheduling
Distributed Scheduling
Scheduler Overview
Choosing between Schedulers
Shared Memory
Scheduling in Depth
Diagnostics
Inspecting Dask objects
Diagnostics
Graphs
Overview
Specification
Custom Graphs
Optimization
Help & reference
Debugging
Contact and Support
Changelog
Presentations On Dask
Development Guidelines
Frequently Asked Questions
Comparison to PySpark
Opportunistic Caching
Internal Data Ingestion
Remote Data Services
Citations
Funding
dask
Docs
»
Presentations On Dask
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Presentations On Dask
ΒΆ
PLOTCON 2016, December 2016
Visualizing Distributed Computations with Dask and Bokeh
PyData DC, October 2016
Using Dask for Parallel Computing in Python
SciPy 2016, July 2016
Dask Parallel and Distributed Computing
PyData NYC, December 2015
Dask Parallelizing NumPy and Pandas through Task Scheduling
PyData Seattle, August 2015
Dask: out of core arrays with task scheduling
SciPy 2015, July 2015
Dask Out of core NumPy:Pandas through Task Scheduling