Griddly Python Libraries

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for bam4d from gravatar.com bam4d

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • Author:
Report project as malware

Project description

Griddly Python

This module contains all you need to run the Griddly AI research environment using python.

Installation

Currently the library supports any python > 3.6. It is recommended to use a conda environment:

conda create --name griddly_env python=3.7
conda activate griddly_env
pip install griddly

Usage

Full documentation can be found here: https://griddly.readthedocs.org

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for bam4d from gravatar.com bam4d

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • Author:

Release history Release notifications | RSS feed

1.6.7

1.6.6

1.6.5

1.6.3

1.6.2

1.6.1

1.6.0

1.5.1

1.5.0

1.4.3

1.4.2

1.4.1

1.4.0

1.3.9

1.3.8

1.3.7

This version

1.3.6

1.3.5

1.3.4

1.3.3

1.3.2

1.3.1

1.3.0

1.2.36

1.2.35

1.2.34

1.2.33 yanked

Reason this release was yanked:

serious bug not caught in testing

1.2.32

1.2.31

1.2.30

1.2.29

1.2.28

1.2.27

1.2.26

1.2.25

1.2.24

1.2.23

1.2.22

1.2.21

1.2.20

1.2.19

1.2.18

1.2.17

1.2.16

1.2.15

1.2.14

1.2.13

1.2.12

1.2.11

1.2.10

1.2.9

1.2.8

1.2.7

1.2.6

1.2.5

1.2.4

1.2.3

1.2.2

1.2.1

1.2.0

1.1.4

1.1.1

1.1.0

1.0.2

1.0.1

1.0.0

0.3.3

0.3.2

0.3.1

0.3.0

0.2.1

0.2.0

0.1.9

0.1.8

0.1.7

0.1.6

0.1.5

0.1.4

0.1.3

0.1.2

0.1.1

0.1.0

0.0.13

0.0.12 yanked

Reason this release was yanked:

This build will not work. please install griddly==0.0.11 instead.

0.0.11

0.0.10

0.0.9

0.0.8

0.0.7

0.0.6

0.0.5

0.0.4

0.0.3

0.0.1

Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

griddly-1.3.6-cp39-cp39-win_amd64.whl (6.8 MB view details)

Uploaded CPython 3.9Windows x86-64

griddly-1.3.6-cp39-cp39-manylinux2014_x86_64.whl (7.2 MB view details)

Uploaded CPython 3.9

griddly-1.3.6-cp39-cp39-macosx_10_15_x86_64.whl (7.0 MB view details)

Uploaded CPython 3.9macOS 10.15+ x86-64

griddly-1.3.6-cp38-cp38-win_amd64.whl (6.8 MB view details)

Uploaded CPython 3.8Windows x86-64

griddly-1.3.6-cp38-cp38-manylinux2014_x86_64.whl (7.2 MB view details)

Uploaded CPython 3.8

griddly-1.3.6-cp38-cp38-macosx_10_15_x86_64.whl (7.0 MB view details)

Uploaded CPython 3.8macOS 10.15+ x86-64

griddly-1.3.6-cp37-cp37m-win_amd64.whl (6.8 MB view details)

Uploaded CPython 3.7mWindows x86-64

griddly-1.3.6-cp37-cp37m-manylinux2014_x86_64.whl (7.2 MB view details)

Uploaded CPython 3.7m

griddly-1.3.6-cp37-cp37m-macosx_10_15_x86_64.whl (7.0 MB view details)

Uploaded CPython 3.7mmacOS 10.15+ x86-64

File details

Details for the file griddly-1.3.6-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: griddly-1.3.6-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 6.8 MB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.9.12

File hashes

Hashes for griddly-1.3.6-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 0f293066b328be04364b1063659beff8f232e78e4de8399ce8eae850185098f4
MD5 f5ad4a11161282d610e90090926d198e
BLAKE2b-256 8b0c37c9e45adea3f8874fb378fa268f0263859aeef886fa18d14044872b858e

See more details on using hashes here.

File details

Details for the file griddly-1.3.6-cp39-cp39-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for griddly-1.3.6-cp39-cp39-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 3357a5c2daa7a06624bc12426aa015406d2aa9add7bc7c3f81a2fa3d18d54e87
MD5 8d9b813aed38abe5a246ba61f4d71d02
BLAKE2b-256 7698e5b5062ee4e86dae1bdfb9b3fd3bcc6c3aa02a4edf09b398b3a621c5749e

See more details on using hashes here.

File details

Details for the file griddly-1.3.6-cp39-cp39-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for griddly-1.3.6-cp39-cp39-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 7f32a49355d598febe57aca04fa4274f1a5149df643ff79963d5e9896a35ed43
MD5 c4cc67018353ada12fc0eda40fe35efd
BLAKE2b-256 97e53cc2d1587254037f1431b348b02ae4c24de03862b172e710ce0194ff6b47

See more details on using hashes here.

File details

Details for the file griddly-1.3.6-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: griddly-1.3.6-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 6.8 MB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.8.10

File hashes

Hashes for griddly-1.3.6-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 79bc511676b3e556dce3c2bf645df5e29a80a3f9e84c6cb522108f1deb742dbe
MD5 ea443cb1066628ba4ca9cd0c47aa8263
BLAKE2b-256 9b2203d435b09a1af5bad1d085e76ddd6e8f89074ac12e4a13f1dc4ad1aa24ce

See more details on using hashes here.

File details

Details for the file griddly-1.3.6-cp38-cp38-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for griddly-1.3.6-cp38-cp38-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 0aa9b77fa10ea8f5185eedbcb13d4f0f7b82e0e0670530482fec6a63954ab103
MD5 4714b976e74190137755d3575ff03a1c
BLAKE2b-256 4a851cd4e1364ee7bbf5b4d986a9181fcba046afcbfeab26bea879d3fda2f16b

See more details on using hashes here.

File details

Details for the file griddly-1.3.6-cp38-cp38-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for griddly-1.3.6-cp38-cp38-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 4e877bf1d684948523c5ba7a34c6e97ade7741f3e0a871aa4c91fe7679dc8475
MD5 57cf49dc0df4d0bf09a23c4196bb2aed
BLAKE2b-256 03c6cdfe6b7328394bc60327c5c1c69f15b18f68aef2335be29ef5803c10f78a

See more details on using hashes here.

File details

Details for the file griddly-1.3.6-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: griddly-1.3.6-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 6.8 MB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.7.9

File hashes

Hashes for griddly-1.3.6-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 ebb77b020e09b0802f89ebb9f67c11d4d084fbfdf4f50a0d9f93180c59b22f8a
MD5 b6e9f749324d3942760f458bc7b5e61d
BLAKE2b-256 7e75d83354a7bbb90809bc65de2cac0f6dcd7b01fd891f5cad61626e1f400c1f

See more details on using hashes here.

File details

Details for the file griddly-1.3.6-cp37-cp37m-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for griddly-1.3.6-cp37-cp37m-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 c744e7ee58a5de1236c758cf2d6e5d57a1ca1808f6a9eb77ecebb0d4417d4ba9
MD5 756fdb9a1ec89b0d105a0973ade4b2a7
BLAKE2b-256 fcc9eb1cfe9872f041a0772998bc0e923b0bdebf80c871286a708bf16e2c1605

See more details on using hashes here.

File details

Details for the file griddly-1.3.6-cp37-cp37m-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for griddly-1.3.6-cp37-cp37m-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 32c28f8c4d7cb1f20b490890038c54332dd2986572291225d36e7e60fdade3f9
MD5 2843beaf59c38722f62c11e4a25092a7
BLAKE2b-256 8bbf740aefd316aaa8b525496166845fd0872d09407ead44439b518d66f4d876

See more details on using hashes here.

Supported by

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