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

This version

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

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-1.19.3.tar.gz (66.1 MB view details)

Uploaded Source

Built Distributions

arm_pyart-1.19.3-cp312-cp312-win_amd64.whl (9.6 MB view details)

Uploaded CPython 3.12 Windows x86-64

arm_pyart-1.19.3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (14.2 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ x86-64

arm_pyart-1.19.3-cp312-cp312-macosx_11_0_arm64.whl (9.6 MB view details)

Uploaded CPython 3.12 macOS 11.0+ ARM64

arm_pyart-1.19.3-cp312-cp312-macosx_10_13_x86_64.whl (9.7 MB view details)

Uploaded CPython 3.12 macOS 10.13+ x86-64

arm_pyart-1.19.3-cp311-cp311-win_amd64.whl (9.6 MB view details)

Uploaded CPython 3.11 Windows x86-64

arm_pyart-1.19.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (14.3 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

arm_pyart-1.19.3-cp311-cp311-macosx_11_0_arm64.whl (9.6 MB view details)

Uploaded CPython 3.11 macOS 11.0+ ARM64

arm_pyart-1.19.3-cp311-cp311-macosx_10_9_x86_64.whl (9.7 MB view details)

Uploaded CPython 3.11 macOS 10.9+ x86-64

arm_pyart-1.19.3-cp310-cp310-win_amd64.whl (9.6 MB view details)

Uploaded CPython 3.10 Windows x86-64

arm_pyart-1.19.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (13.8 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

arm_pyart-1.19.3-cp310-cp310-macosx_11_0_arm64.whl (9.6 MB view details)

Uploaded CPython 3.10 macOS 11.0+ ARM64

arm_pyart-1.19.3-cp310-cp310-macosx_10_9_x86_64.whl (9.7 MB view details)

Uploaded CPython 3.10 macOS 10.9+ x86-64

File details

Details for the file arm_pyart-1.19.3.tar.gz.

File metadata

  • Download URL: arm_pyart-1.19.3.tar.gz
  • Upload date:
  • Size: 66.1 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for arm_pyart-1.19.3.tar.gz
Algorithm Hash digest
SHA256 ad041354248c7d3cd879a8edfba15a96749eb8e5f18f9374b3371be553e0ace5
MD5 e02648f9c69ede582f1b389f80d35119
BLAKE2b-256 cfb676fce424a0624ec4c185926c404a0b2a67cd415224fc150156a611dd99b2

See more details on using hashes here.

Provenance

File details

Details for the file arm_pyart-1.19.3-cp312-cp312-win_amd64.whl.

File metadata

File hashes

Hashes for arm_pyart-1.19.3-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 7f47d64e86a89d3fbf8794735ac27ad0898789b76360a9e3377e17b43f94f951
MD5 0ab7aca36e7d6bd14afc49a2c1bfcb2f
BLAKE2b-256 0f59d6942f08ba61b7be42723d31d8e29ec3dae9a8ae44acabac8c6ff9945666

See more details on using hashes here.

Provenance

File details

Details for the file arm_pyart-1.19.3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for arm_pyart-1.19.3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 9233cdf4c075b2fecd9ecd5779757383d4ccae05ca812a9a24b51402358864bb
MD5 e56d0c6967916790978285db5faa69ba
BLAKE2b-256 f03d1ad2bdffdf73528e90932cbfab8ca60ebebf7c25b61e727597efd0ee7867

See more details on using hashes here.

Provenance

File details

Details for the file arm_pyart-1.19.3-cp312-cp312-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for arm_pyart-1.19.3-cp312-cp312-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 ae7e5e74738d3d5b207edf8d73785aa1b466d13153af3050f7576eac966b4b49
MD5 a44ed8269b76bb0b5a04c0d43a25d612
BLAKE2b-256 a9741685c5bf97cf08c6d6fbe1f42306707837b6e6bb10c0f6d4c7fb215d2649

See more details on using hashes here.

Provenance

File details

Details for the file arm_pyart-1.19.3-cp312-cp312-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for arm_pyart-1.19.3-cp312-cp312-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 e46a600c267448c65d3769381a95abb013f16bedc03ed088da97542cdbd0c5bf
MD5 5033acda3268ed3595f7306852feea03
BLAKE2b-256 58da5c9aac4713c2a1de0d0d5abe18e2dfc53cd312961ce729ab33a7bab54bca

See more details on using hashes here.

Provenance

File details

Details for the file arm_pyart-1.19.3-cp311-cp311-win_amd64.whl.

File metadata

File hashes

Hashes for arm_pyart-1.19.3-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 cf1be9c8fa6bdf13b0365854800e6a44b9aa30ddd72f6f6598c633cd83865af8
MD5 feeb377d547afa48bcf3badd7b34e2ef
BLAKE2b-256 22be024969c52335335995ae929cd96aca0c470096c8b7530ebb34edfd01c79c

See more details on using hashes here.

Provenance

File details

Details for the file arm_pyart-1.19.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for arm_pyart-1.19.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 18106f1174e2c45cf9a5591628066b71370cb3c25d8113dad3c0fc4e77ce14ed
MD5 67194ae3e6247db8c334d24a90591c2e
BLAKE2b-256 d2b7c3e67add10fa2ce265ccaf0ed8e824462fa906ff440183dbaa64905655f2

See more details on using hashes here.

Provenance

File details

Details for the file arm_pyart-1.19.3-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for arm_pyart-1.19.3-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 f21168e246ac414cfd1855af04408adb33cf359be6c3ad9cafe49ca834645785
MD5 e4c7d3fd83e1d8d8065dec6830de0891
BLAKE2b-256 c1d605a790849c3d5dc5ff4917603a7537d0522e6b193136d38242034748c6e3

See more details on using hashes here.

Provenance

File details

Details for the file arm_pyart-1.19.3-cp311-cp311-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for arm_pyart-1.19.3-cp311-cp311-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 f3ac6025d16cbf8b6fc724cca47aaff52ed394eadc2ca063d567849d53c16a41
MD5 ddde283fafa2cffb0a6a2bfb4b983d8f
BLAKE2b-256 b98d533be440c0e95e1fb13c3e85979e30b96524d6a8faed95b2197ab25e1f04

See more details on using hashes here.

Provenance

File details

Details for the file arm_pyart-1.19.3-cp310-cp310-win_amd64.whl.

File metadata

File hashes

Hashes for arm_pyart-1.19.3-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 fe1b0971a04a65efe36223ef1434c0ceef1d86f6eeeb207afbcca58669c7c11e
MD5 d2c80c456a5736ef96de3fb314104093
BLAKE2b-256 142a35e99ad2fa0b22c7bea08386e0fae88bb457ae419a55458bb655dcf174fe

See more details on using hashes here.

Provenance

File details

Details for the file arm_pyart-1.19.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for arm_pyart-1.19.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 529278e5d481308a4dc39b8b5697dac2596afab7af6eb992a76db8bf9a054e9b
MD5 506d7688c71b137811652dcc6d3d4c4c
BLAKE2b-256 223eef3e17c4e771730a4a66a06308da2b76605ca4f339c38a9a1a1c885dc95b

See more details on using hashes here.

Provenance

File details

Details for the file arm_pyart-1.19.3-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for arm_pyart-1.19.3-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 a4ef2c9a4656c2efd207bf0944cd878b803441cfdd4aa9bae3fc959e87cae07e
MD5 df6a0f45e29dd53980045d65e3f0bb1a
BLAKE2b-256 eba671cb61615f84e6397993b3954c36b0e1b9a51e7d4ddf9227bcd58a9a6335

See more details on using hashes here.

Provenance

File details

Details for the file arm_pyart-1.19.3-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for arm_pyart-1.19.3-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 96a806f0e9c25e94224f47e3e224330911d9288d386ae4f14f87226cfbefa6d5
MD5 bf5b86502014af711c0585ad30774cae
BLAKE2b-256 182933a72069ac8d484576c854dc4f72f67234ff6a1598d328d3ced9ee88a042

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