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

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

This version

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-0.0.13-cp38-cp38-win_amd64.whl (5.9 MB view details)

Uploaded CPython 3.8Windows x86-64

griddly-0.0.13-cp38-cp38-manylinux2014_x86_64.whl (6.1 MB view details)

Uploaded CPython 3.8

griddly-0.0.13-cp37-cp37m-win_amd64.whl (5.9 MB view details)

Uploaded CPython 3.7mWindows x86-64

griddly-0.0.13-cp37-cp37m-manylinux2014_x86_64.whl (6.1 MB view details)

Uploaded CPython 3.7m

griddly-0.0.13-cp36-cp36m-win_amd64.whl (5.9 MB view details)

Uploaded CPython 3.6mWindows x86-64

griddly-0.0.13-cp36-cp36m-manylinux2014_x86_64.whl (6.1 MB view details)

Uploaded CPython 3.6m

File details

Details for the file griddly-0.0.13-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: griddly-0.0.13-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 5.9 MB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/47.1.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.8.5

File hashes

Hashes for griddly-0.0.13-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 0c256b9c2465f4d04f0d63815a6b8f9af77160ac140bbcd5a0a917d00ee5cef6
MD5 f23e84343427609650a5e7caf0896fda
BLAKE2b-256 827d1e1fe05f2f2abd06a8b06f84ed591df10e6918fdf47ae3ac3f8657182453

See more details on using hashes here.

File details

Details for the file griddly-0.0.13-cp38-cp38-manylinux2014_x86_64.whl.

File metadata

  • Download URL: griddly-0.0.13-cp38-cp38-manylinux2014_x86_64.whl
  • Upload date:
  • Size: 6.1 MB
  • Tags: CPython 3.8
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/47.1.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.8.5

File hashes

Hashes for griddly-0.0.13-cp38-cp38-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 ad7f33d1aa16972a86b2fb38f74cd8f82e642f44cbc90218fce55aab7c0c9f76
MD5 fb22fbed4bc27ebf6e460428ff4bbe06
BLAKE2b-256 734610821d863a531399b535972290c0398e10b97c63b476b041f81f3366b562

See more details on using hashes here.

File details

Details for the file griddly-0.0.13-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: griddly-0.0.13-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 5.9 MB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/47.1.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.7.8

File hashes

Hashes for griddly-0.0.13-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 280ecd34fee966f34e5ec5eb02ef512e3451b70c8265be2ae15574a66e2bb699
MD5 bbd5ac9f7e206be40ac4abef66b43f0e
BLAKE2b-256 3d50c58ab00620b9550faf60a692348114de105c6a5a28cdadd89c3d5c28028a

See more details on using hashes here.

File details

Details for the file griddly-0.0.13-cp37-cp37m-manylinux2014_x86_64.whl.

File metadata

  • Download URL: griddly-0.0.13-cp37-cp37m-manylinux2014_x86_64.whl
  • Upload date:
  • Size: 6.1 MB
  • Tags: CPython 3.7m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/47.1.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.7.8

File hashes

Hashes for griddly-0.0.13-cp37-cp37m-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 16660e5814baa4b542610f2b221c731fa98e6a461d26760ae0a8d52b470d4284
MD5 93a72e4cd2c936c6db0c244d62aa2d2b
BLAKE2b-256 351321008232173042727e504f54f2f1293b987695063474c1d1c62a34b14e4b

See more details on using hashes here.

File details

Details for the file griddly-0.0.13-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: griddly-0.0.13-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 5.9 MB
  • Tags: CPython 3.6m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/40.6.2 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.6.8

File hashes

Hashes for griddly-0.0.13-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 c70eded77cf99eb23af20826137b1917061722b2e1471f6382165b8e2d68fc61
MD5 2a280f32402458c3ba44fc1976d1276f
BLAKE2b-256 7c65921a290286ebaacbea24afb67dc69297fac96786b3b0c4be2b00edd5ee0f

See more details on using hashes here.

File details

Details for the file griddly-0.0.13-cp36-cp36m-manylinux2014_x86_64.whl.

File metadata

  • Download URL: griddly-0.0.13-cp36-cp36m-manylinux2014_x86_64.whl
  • Upload date:
  • Size: 6.1 MB
  • Tags: CPython 3.6m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/40.6.2 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.6.11

File hashes

Hashes for griddly-0.0.13-cp36-cp36m-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 58e728f9809aa7b0f8188e8a3b87462863ef70225119457d08639b5935ab84aa
MD5 c7adaa5681c5542636163030e394d89b
BLAKE2b-256 97495de481108d13ef8cfb8a83820dc8d6c695616d478bed796c7e7bfaadf657

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