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Tools for using compute.rhg.com and compute.impactlab.org

Installation

pip:

pip install rhg_compute_tools

Features

  • easily spin up a preconfigured cluster with get_cluster(), or flavors with get_micro_cluster(), get_standard_cluster(), get_big_cluster(), or get_giant_cluster().

>>> import rhg_compute_tools as rhg
>>> cluster, client = rhg.get_cluster()

History

v0.1.5

  • need to figure out how to use this rever thing

v0.1.4

  • Bug fix again in rhg_compute_tools.kubernetes.get_worker

v0.1.3

  • Bug fix in rhg_compute_tools.kubernetes.get_worker

v0.1.2

  • Add xarray from delayed methods in rhg_compute_tools.xarray

  • rhg_compute_tools.gcs.cp_to_gcs now calls gsutil in a subprocess instead of google.storage operations. This dramatically improves performance when transferring large numbers of small files

  • Additional cluster creation helpers

v0.1.1

  • New google compute helpers (see rhg_compute_tools.gcs.cp_to_gcs, rhg_compute_tools.gcs.get_bucket)

  • New cluster creation helper (see rhg_compute_tools.kubernetes.get_worker)

  • Dask client.map helpers (see rhg_compute_tools.utils submodule)

v0.1.0

  • First release on PyPI.

Project links

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Newer release available (1.3.3)

2 maintainers

PyPI data
Data sourced directly from PyPI's database.
Avatar for delgadom from gravatar.com delgadom Avatar for malevich from gravatar.com malevich

Credits

Author: Michael Delgado

License

MIT License (MIT license)

Tags

rhg_compute_tools

Classifiers

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1.3.3

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1.2.1

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1.1.5

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1.1.3

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1.0.1

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0.1.5

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0.1.3

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0.1.2

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0.1.1

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0.1.0

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0.0.0

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