Py-ART: Python ARM Radar Toolkit

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for jjhelmus from gravatar.com jjhelmus Avatar for mgrover1 from gravatar.com mgrover1 Avatar for zssherman from gravatar.com zssherman

Unverified details

These details have not been verified by PyPI
Project links
Meta
Classifiers

Project description

a growing collection of weather radar algorithms and utilities build on top of the Scientific Python stack and distributed under the 3-Clause BSD license. Py-ART is used by the Atmospheric Radiation Measurement (ARM) Climate Research Facility for working with data from a number of precipitation and cloud radars, but has been designed so that it can be used by others in the radar and atmospheric communities to examine, processes, and analyse data from many types of weather radars.

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for jjhelmus from gravatar.com jjhelmus Avatar for mgrover1 from gravatar.com mgrover1 Avatar for zssherman from gravatar.com zssherman

Unverified details

These details have not been verified by PyPI
Project links
Meta
Classifiers

Release history Release notifications | RSS feed

1.19.3

1.19.2

1.19.1

1.19.0

1.18.7

1.18.6

1.18.5

1.18.3

1.18.2

1.18.1

1.18.0

1.17.0

1.16.1

1.16.0

1.15.2

1.15.1

This version

1.15.0

1.14.6

1.14.5

1.14.4

1.14.3

1.14.2

1.14.1

1.14.0

1.13.3

1.13.2

1.13.1 yanked

Reason this release was yanked:

Issue with dependency

1.13.0

1.12.7

1.12.6

1.12.5

1.12.4

1.12.3

1.12.2

1.12.1

1.12.0

1.11.8

1.11.7 yanked

Reason this release was yanked:

broken

1.11.6

1.11.5

1.11.4

1.11.3

1.11.2

1.11.1

1.11.0

1.10.4

1.10.3

1.10.2

1.10.1

1.9.2

1.9.1

1.9.0

1.8.0

1.7.0

1.6.0

1.5.0

1.4.2

1.4.0

1.3.0

1.2.0

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

arm_pyart-1.15.0.tar.gz (54.7 MB view details)

Uploaded Source

Built Distributions

arm_pyart-1.15.0-cp311-cp311-win_amd64.whl (9.0 MB view details)

Uploaded CPython 3.11 Windows x86-64

arm_pyart-1.15.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (13.1 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

arm_pyart-1.15.0-cp311-cp311-macosx_11_0_arm64.whl (9.1 MB view details)

Uploaded CPython 3.11 macOS 11.0+ ARM64

arm_pyart-1.15.0-cp311-cp311-macosx_10_9_x86_64.whl (9.2 MB view details)

Uploaded CPython 3.11 macOS 10.9+ x86-64

arm_pyart-1.15.0-cp310-cp310-win_amd64.whl (9.0 MB view details)

Uploaded CPython 3.10 Windows x86-64

arm_pyart-1.15.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (12.7 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

arm_pyart-1.15.0-cp310-cp310-macosx_11_0_arm64.whl (9.1 MB view details)

Uploaded CPython 3.10 macOS 11.0+ ARM64

arm_pyart-1.15.0-cp310-cp310-macosx_10_9_x86_64.whl (9.2 MB view details)

Uploaded CPython 3.10 macOS 10.9+ x86-64

arm_pyart-1.15.0-cp39-cp39-win_amd64.whl (9.0 MB view details)

Uploaded CPython 3.9 Windows x86-64

arm_pyart-1.15.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (12.8 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

arm_pyart-1.15.0-cp39-cp39-macosx_11_0_arm64.whl (9.1 MB view details)

Uploaded CPython 3.9 macOS 11.0+ ARM64

arm_pyart-1.15.0-cp39-cp39-macosx_10_9_x86_64.whl (9.2 MB view details)

Uploaded CPython 3.9 macOS 10.9+ x86-64

File details

Details for the file arm_pyart-1.15.0.tar.gz.

File metadata

  • Download URL: arm_pyart-1.15.0.tar.gz
  • Upload date:
  • Size: 54.7 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for arm_pyart-1.15.0.tar.gz
Algorithm Hash digest
SHA256 ce806b68714d8441279fe46bd98371b5542df3e5ee95571219ebcb25ec8bae17
MD5 7a2ba35be652bc0006da2708cb60218c
BLAKE2b-256 292243ff61803ce99df2b9b58d42d82830ad13e047c39718272e302b0810f6ce

See more details on using hashes here.

Provenance

File details

Details for the file arm_pyart-1.15.0-cp311-cp311-win_amd64.whl.

File metadata

File hashes

Hashes for arm_pyart-1.15.0-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 85a70df20f2f6abfb298b2863e9168eef8e86e880400159de6e95194a535a053
MD5 256daa89afd4b54aa80bfe7535335ffc
BLAKE2b-256 e10ee85159e93b0a33d444ff5e393a9ef21305448739369f314338f153508f5b

See more details on using hashes here.

Provenance

File details

Details for the file arm_pyart-1.15.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for arm_pyart-1.15.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 d9ed185500f96dc5017a34040379ad6ae5d9bb7126ad599e9f9240ede96f2a4a
MD5 bdf6d7cf3558d052865088dfe5efb1f9
BLAKE2b-256 0f51f1a414d56e076f4a69295dc624683a186096dd387ec1d1baee8e8ca0c963

See more details on using hashes here.

Provenance

File details

Details for the file arm_pyart-1.15.0-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for arm_pyart-1.15.0-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 bf3e591b40e792db552863076bd71553c84a60b4d8ea3e0fc3886da4eddd6fd0
MD5 faef91508d9ce223b866cd1d6007d180
BLAKE2b-256 0ae35623f04c21b064ebec336153a90f9d6ec472446d9962fb104534abbe5169

See more details on using hashes here.

Provenance

File details

Details for the file arm_pyart-1.15.0-cp311-cp311-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for arm_pyart-1.15.0-cp311-cp311-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 88c353cbbc683f69d902cf22fcd329ad42b9645e212ae7eaa6e2f8db5a3a2706
MD5 c941e99ea10989173a5e3c2a7099ddf7
BLAKE2b-256 83b310fe16fdc02096cb34be2324b3e89e000b78e962a20e0712dcead7fe04a3

See more details on using hashes here.

Provenance

File details

Details for the file arm_pyart-1.15.0-cp310-cp310-win_amd64.whl.

File metadata

File hashes

Hashes for arm_pyart-1.15.0-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 a5ee577e3b0f2164b9d7a0c7c7d631c2bcc8d150aa49d60f5329202a5c34a12f
MD5 c60bb9677e5f88c30f47b8d60620df41
BLAKE2b-256 c8d9c3938620e2efcb14b96441f0b04977560cac56470b22496fd8046910b430

See more details on using hashes here.

Provenance

File details

Details for the file arm_pyart-1.15.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for arm_pyart-1.15.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 a8d7f8d971e844c9a429cdb97e9282d4bcf794d35022bbd2370385ed73d89df0
MD5 6c457f85fde23aed12925c0f9e7929bb
BLAKE2b-256 973b10ab3604d9a7e69ee8b48c57a916232d7b2ff162483889cab257b645c55a

See more details on using hashes here.

Provenance

File details

Details for the file arm_pyart-1.15.0-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for arm_pyart-1.15.0-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 3f372121842ee1a4d5ad550a8c6f739677bea2b910e337da4ab322c6f6c2d005
MD5 f96b9ef11d3ee4428f125c824a343286
BLAKE2b-256 ec523d931695e47107951c0efeb9e0231e37caf8f38c48496e09709d5834faae

See more details on using hashes here.

Provenance

File details

Details for the file arm_pyart-1.15.0-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for arm_pyart-1.15.0-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 5e10440763ca52edf5284cf743688467e6dc6de95f03feb2a50b8f4e0149c157
MD5 8ac995d322b3dade053d0ea1269154ff
BLAKE2b-256 5064d4edd69dfc0839beff22de5a9ac8795f6bb73f152f023cd9e226979796f9

See more details on using hashes here.

Provenance

File details

Details for the file arm_pyart-1.15.0-cp39-cp39-win_amd64.whl.

File metadata

File hashes

Hashes for arm_pyart-1.15.0-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 b0d58e1e06906ead6c1f7eb97506c461b7647abcbff732d9968695b9d1eddebc
MD5 dfd4b18dc8ea3bf7034b7886c37a2284
BLAKE2b-256 87f641ca023eee78e9e2009414b059655c3c0f66fc941b6dd44dd0a2a21cb475

See more details on using hashes here.

Provenance

File details

Details for the file arm_pyart-1.15.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for arm_pyart-1.15.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 483cbf077bcbe5a95ded290c83636ac39556a96c03cd830731929f35dc3b9a6f
MD5 f12e3b74c25f30544952b9bc60e18992
BLAKE2b-256 8e4146418ebbe866b95adad5f188f32657df0e8083fc519134252bfb683b0ec2

See more details on using hashes here.

Provenance

File details

Details for the file arm_pyart-1.15.0-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for arm_pyart-1.15.0-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 03936e2c2f0dc9268258a216419e42a27f043ef2c2101704bf171e3fd3b8e000
MD5 9e9abd4ba626df22e4fd05db1504b62d
BLAKE2b-256 c330eb45af980197abaa2a6175eca88922667f25d6e41b83883635cbb2cb0dd5

See more details on using hashes here.

Provenance

File details

Details for the file arm_pyart-1.15.0-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for arm_pyart-1.15.0-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 36b0367f7d2a26fe7510c8b57ec0f1b69afa1a75ded6610c3054722ace6d6839
MD5 73791ee812437ed9cd5bd9adf0afe205
BLAKE2b-256 5efc293c198a41b56e664b2f6239fda76ebe001d3cc7f85233c638026a106e7d

See more details on using hashes here.

Provenance

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page