Posts tagged scipy

Load Large Image Data with Dask Array

Document headings start at H2, not H1 [myst.header]

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Python and GPUs: A Status Update

This blogpost was delivered in talk form at the recent PASC 2019 conference. Slides for that talk are here.

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Dask on HPC

We analyze large datasets on HPC systems with Dask, a parallel computing library that integrates well with the existing Python software ecosystem, and works comfortably with native HPC hardware.

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Experiments in High Performance Networking with UCX and DGX

This post is about experimental and rapidly changing software. Code examples in this post should not be relied upon to work in the future.

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Dask Version 1.0

We are pleased to announce the release of Dask version 1.0.0!

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Refactor Documentation

This work is supported by Anaconda Inc

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Dask Development Log

This work is supported by Anaconda Inc

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Dask Release 0.19.0

This work is supported by Anaconda Inc.

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High level performance of Pandas, Dask, Spark, and Arrow

This work is supported by Anaconda Inc

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Building SAGA optimization for Dask arrays

This work is supported by ETH Zurich, Anaconda Inc, and the Berkeley Institute for Data Science

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Dask Development Log

This work is supported by Anaconda Inc

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Pickle isn't slow, it's a protocol

This work is supported by Anaconda Inc

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Dask Development Log, Scipy 2018

This work is supported by Anaconda Inc

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Who uses Dask?

This work is supported by Anaconda Inc

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Dask Development Log

This work is supported by Anaconda Inc

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Dask Scaling Limits

This work is supported by Anaconda Inc.

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Dask Release 0.18.0

This work is supported by Anaconda Inc.

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Beyond Numpy Arrays in Python

Document headings start at H2, not H1 [myst.header]

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Dask Release 0.17.2

This work is supported by Anaconda Inc. and the Data Driven Discovery Initiative from the Moore Foundation.

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Craft Minimal Bug Reports

Following up on a post on supporting users in open source this post lists some suggestions on how to ask a maintainer to help you with a problem.

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Dask Release 0.17.0

This work is supported by Anaconda Inc. and the Data Driven Discovery Initiative from the Moore Foundation.

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Pangeo: JupyterHub, Dask, and XArray on the Cloud

This work is supported by Anaconda Inc, the NSF EarthCube program, and UC Berkeley BIDS

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Dask Development Log

This work is supported by Anaconda Inc and the Data Driven Discovery Initiative from the Moore Foundation

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Dask Release 0.16.0

This work is supported by Anaconda Inc. and the Data Driven Discovery Initiative from the Moore Foundation.

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Optimizing Data Structure Access in Python

This work is supported by Anaconda Inc and the Data Driven Discovery Initiative from the Moore Foundation

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Streaming Dataframes

This work is supported by Anaconda Inc and the Data Driven Discovery Initiative from the Moore Foundation

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Notes on Kafka in Python

Document headings start at H2, not H1 [myst.header]

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Dask Release 0.15.3

This work is supported by Anaconda Inc. and the Data Driven Discovery Initiative from the Moore Foundation.

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Fast GeoSpatial Analysis in Python

This work is supported by Anaconda Inc., the Data Driven Discovery Initiative from the Moore Foundation, and NASA SBIR NNX16CG43P

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Dask on HPC - Initial Work

This work is supported by Anaconda Inc. and the NSF EarthCube program.

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Dask Release 0.15.2

This work is supported by Anaconda Inc. and the Data Driven Discovery Initiative from the Moore Foundation.

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Dask Benchmarks

This work is supported by Continuum Analytics and the Data Driven Discovery Initiative from the Moore Foundation.

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Use Apache Parquet

This work is supported by Continuum Analytics and the Data Driven Discovery Initiative from the Moore Foundation.

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Dask Release 0.15.0

This work is supported by Continuum Analytics and the Data Driven Discovery Initiative from the Moore Foundation.

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Dask Release 0.14.3

This work is supported by Continuum Analytics and the Data Driven Discovery Initiative from the Moore Foundation.

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Dask Development Log

This work is supported by Continuum Analytics and the Data Driven Discovery Initiative from the Moore Foundation

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Asynchronous Optimization Algorithms with Dask

This work is supported by Continuum Analytics, the XDATA Program, and the Data Driven Discovery Initiative from the Moore Foundation.

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Dask and Pandas and XGBoost

This work is supported by Continuum Analytics the XDATA Program and the Data Driven Discovery Initiative from the Moore Foundation

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Dask Release 0.14.1

This work is supported by Continuum Analytics, the XDATA Program, and the Data Driven Discovery Initiative from the Moore Foundation.

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Developing Convex Optimization Algorithms in Dask

This work is supported by Continuum Analytics, the XDATA Program, and the Data Driven Discovery Initiative from the Moore Foundation.

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Dask Release 0.14.0

This work is supported by Continuum Analytics the XDATA Program and the Data Driven Discovery Initiative from the Moore Foundation

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Dask Development Log

This work is supported by Continuum Analytics the XDATA Program and the Data Driven Discovery Initiative from the Moore Foundation

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Experiment with Dask and TensorFlow

This work is supported by Continuum Analytics the XDATA Program and the Data Driven Discovery Initiative from the Moore Foundation

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Two Easy Ways to Use Scikit Learn and Dask

This work is supported by Continuum Analytics the XDATA Program and the Data Driven Discovery Initiative from the Moore Foundation

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Dask Development Log

This work is supported by Continuum Analytics the XDATA Program and the Data Driven Discovery Initiative from the Moore Foundation

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Custom Parallel Algorithms on a Cluster with Dask

This work is supported by Continuum Analytics the XDATA Program and the Data Driven Discovery Initiative from the Moore Foundation

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Dask Development Log

This work is supported by Continuum Analytics the XDATA Program and the Data Driven Discovery Initiative from the Moore Foundation

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Distributed NumPy on a Cluster with Dask Arrays

This work is supported by Continuum Analytics the XDATA Program and the Data Driven Discovery Initiative from the Moore Foundation

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Distributed Pandas on a Cluster with Dask DataFrames

This work is supported by Continuum Analytics the XDATA Program and the Data Driven Discovery Initiative from the Moore Foundation

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Dask Release 0.13.0

This work is supported by Continuum Analytics the XDATA Program and the Data Driven Discovery Initiative from the Moore Foundation

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Dask Development Log

This work is supported by Continuum Analytics the XDATA Program and the Data Driven Discovery Initiative from the Moore Foundation

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Dask Development Log

This work is supported by Continuum Analytics the XDATA Program and the Data Driven Discovery Initiative from the Moore Foundation

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Dask Development Log

This work is supported by Continuum Analytics the XDATA Program and the Data Driven Discovery Initiative from the Moore Foundation

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Dask Development Log

This work is supported by Continuum Analytics the XDATA Program and the Data Driven Discovery Initiative from the Moore Foundation

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Dask Cluster Deployments

This work is supported by Continuum Analytics and the XDATA Program as part of the Blaze Project

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Dask and Celery

This post compares two Python distributed task processing systems, Dask.distributed and Celery.

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Dask Distributed Release 1.13.0

I’m pleased to announce a release of Dask’s distributed scheduler, dask.distributed, version 1.13.0.

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Dask for Institutions

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Ad Hoc Distributed Random Forests

This work is supported by Continuum Analytics and the XDATA Program as part of the Blaze Project

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Fast Message Serialization

This work is supported by Continuum Analytics and the XDATA Program as part of the Blaze Project

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Distributed Dask Arrays

This work is supported by Continuum Analytics and the XDATA Program as part of the Blaze Project

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Pandas on HDFS with Dask Dataframes

This work is supported by Continuum Analytics and the XDATA Program as part of the Blaze Project

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Introducing Dask distributed

This work is supported by Continuum Analytics and the XDATA Program as part of the Blaze Project

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Distributed Prototype

This work is supported by Continuum Analytics and the XDATA Program as part of the Blaze Project

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Caching

This work is supported by Continuum Analytics and the XDATA Program as part of the Blaze Project

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Custom Parallel Workflows

This work is supported by Continuum Analytics and the XDATA Program as part of the Blaze Project

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Write Complex Parallel Algorithms

This work is supported by Continuum Analytics and the XDATA Program as part of the Blaze Project

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Distributed Scheduling

This work is supported by Continuum Analytics and the XDATA Program as part of the Blaze Project

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State of Dask

This work is supported by Continuum Analytics and the XDATA Program as part of the Blaze Project

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Towards Out-of-core DataFrames

This work is supported by Continuum Analytics and the XDATA Program as part of the Blaze Project

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Towards Out-of-core ND-Arrays -- Dask + Toolz = Bag

This work is supported by Continuum Analytics and the XDATA Program as part of the Blaze Project

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Towards Out-of-core ND-Arrays -- Slicing and Stacking

This work is supported by Continuum Analytics and the XDATA Program as part of the Blaze Project

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Towards Out-of-core ND-Arrays -- Spilling to Disk

This work is supported by Continuum Analytics and the XDATA Program as part of the Blaze Project

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Towards Out-of-core ND-Arrays -- Benchmark MatMul

This work is supported by Continuum Analytics and the XDATA Program as part of the Blaze Project

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Towards Out-of-core ND-Arrays -- Multi-core Scheduling

This work is supported by Continuum Analytics and the XDATA Program as part of the Blaze Project

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Towards Out-of-core ND-Arrays -- Frontend

This work is supported by Continuum Analytics and the XDATA Program as part of the Blaze Project

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Towards Out-of-core ND-Arrays

This work is supported by Continuum Analytics and the XDATA Program as part of the Blaze Project

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