Skip to main content

Griddly Python Libraries

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


Release history Release notifications | RSS feed

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-0.3.3-cp38-cp38-win_amd64.whl (6.6 MB view details)

Uploaded CPython 3.8Windows x86-64

griddly-0.3.3-cp38-cp38-manylinux2014_x86_64.whl (6.8 MB view details)

Uploaded CPython 3.8

griddly-0.3.3-cp38-cp38-macosx_10_15_x86_64.whl (6.7 MB view details)

Uploaded CPython 3.8macOS 10.15+ x86-64

griddly-0.3.3-cp37-cp37m-win_amd64.whl (6.6 MB view details)

Uploaded CPython 3.7mWindows x86-64

griddly-0.3.3-cp37-cp37m-manylinux2014_x86_64.whl (6.8 MB view details)

Uploaded CPython 3.7m

griddly-0.3.3-cp37-cp37m-macosx_10_15_x86_64.whl (6.7 MB view details)

Uploaded CPython 3.7mmacOS 10.15+ x86-64

griddly-0.3.3-cp36-cp36m-win_amd64.whl (6.6 MB view details)

Uploaded CPython 3.6mWindows x86-64

griddly-0.3.3-cp36-cp36m-manylinux2014_x86_64.whl (6.8 MB view details)

Uploaded CPython 3.6m

griddly-0.3.3-cp36-cp36m-macosx_10_15_x86_64.whl (6.7 MB view details)

Uploaded CPython 3.6mmacOS 10.15+ x86-64

File details

Details for the file griddly-0.3.3-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: griddly-0.3.3-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 6.6 MB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/49.2.1 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.8.7

File hashes

Hashes for griddly-0.3.3-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 3d071510f12b3e0a5f580fc26efec1e1df16a3d9cc67e24701d365077a91dd6b
MD5 c7b51dd140b88ba2a92f0f18991de642
BLAKE2b-256 e2e721f8c81ad3e4eebdc197fe372d0f982bcd309da5e3ca65ed8f1b541da5a4

See more details on using hashes here.

File details

Details for the file griddly-0.3.3-cp38-cp38-manylinux2014_x86_64.whl.

File metadata

  • Download URL: griddly-0.3.3-cp38-cp38-manylinux2014_x86_64.whl
  • Upload date:
  • Size: 6.8 MB
  • Tags: CPython 3.8
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/49.2.1 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.8.7

File hashes

Hashes for griddly-0.3.3-cp38-cp38-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 af94fcbeccbef3ebc7f6eb1d5f847adcc8c39ac65f6acd64f0bf849d671a2e81
MD5 60d4677f481d7c79ea1afc3203256524
BLAKE2b-256 af1a123c61079b914c252b2cd484746f1bde14826d72ac6a85968f356655a660

See more details on using hashes here.

File details

Details for the file griddly-0.3.3-cp38-cp38-macosx_10_15_x86_64.whl.

File metadata

  • Download URL: griddly-0.3.3-cp38-cp38-macosx_10_15_x86_64.whl
  • Upload date:
  • Size: 6.7 MB
  • Tags: CPython 3.8, macOS 10.15+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/49.2.1 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.8.7

File hashes

Hashes for griddly-0.3.3-cp38-cp38-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 4f6245192f41898e1446f12004ddfe62080dd309378918cb63fee00edd32f029
MD5 a543f87a322d2d93b23b25b206dbaa93
BLAKE2b-256 d703dabf2e4e7f2c5c05bf7d4d250e2709647d6178d6d7c5bb5aaa662c6262da

See more details on using hashes here.

File details

Details for the file griddly-0.3.3-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: griddly-0.3.3-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 6.6 MB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/47.1.0 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.7.9

File hashes

Hashes for griddly-0.3.3-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 e5c63b8d0bf342633b24795270aee93df9cfcade8f697772dd68c0b059ae8fd5
MD5 28ad2c61eff2dad7b883e90848051f81
BLAKE2b-256 e8775494420baa4ddec87225335ccf779f884cbf625fd0383899a74a01ed3e47

See more details on using hashes here.

File details

Details for the file griddly-0.3.3-cp37-cp37m-manylinux2014_x86_64.whl.

File metadata

  • Download URL: griddly-0.3.3-cp37-cp37m-manylinux2014_x86_64.whl
  • Upload date:
  • Size: 6.8 MB
  • Tags: CPython 3.7m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/47.1.0 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.7.9

File hashes

Hashes for griddly-0.3.3-cp37-cp37m-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 2de2df24a545049a5455dd8692f13f966975fb2972a842206dcc26376869ef8f
MD5 3b0c9d8337acada664da9f38ab02661d
BLAKE2b-256 515ec789cc007ee88b803838be188492abf3143d374d8dea835451d929265d6e

See more details on using hashes here.

File details

Details for the file griddly-0.3.3-cp37-cp37m-macosx_10_15_x86_64.whl.

File metadata

  • Download URL: griddly-0.3.3-cp37-cp37m-macosx_10_15_x86_64.whl
  • Upload date:
  • Size: 6.7 MB
  • Tags: CPython 3.7m, macOS 10.15+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/47.1.0 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.7.9

File hashes

Hashes for griddly-0.3.3-cp37-cp37m-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 17d9811f4bc45459a5d239306c5abfb64ec7019ef0a10d400a266ce7408559b0
MD5 0dba353117a072decec6f2f809bcd905
BLAKE2b-256 0accbb4b3432c781854886bbc9ed53b3ebc69fd535da041c39474d3ac630d8bc

See more details on using hashes here.

File details

Details for the file griddly-0.3.3-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: griddly-0.3.3-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 6.6 MB
  • Tags: CPython 3.6m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/40.6.2 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.6.8

File hashes

Hashes for griddly-0.3.3-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 8a5fa721919a3e61938e9021948fc9e444f9e4256330d5e9a4ce4eb1a64db3de
MD5 92f55a83e07b1c3d72e2af0861eff19c
BLAKE2b-256 10a6e96346f6936f42f912d471ec92f5ddd85b9ecbad50cf878801523de55938

See more details on using hashes here.

File details

Details for the file griddly-0.3.3-cp36-cp36m-manylinux2014_x86_64.whl.

File metadata

  • Download URL: griddly-0.3.3-cp36-cp36m-manylinux2014_x86_64.whl
  • Upload date:
  • Size: 6.8 MB
  • Tags: CPython 3.6m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/40.6.2 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.6.12

File hashes

Hashes for griddly-0.3.3-cp36-cp36m-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 802c2a6de0834a2e652487470950663566e4615fe9c270c75abdcc68a00da58e
MD5 847503c9a81ef102e447a5a90796c610
BLAKE2b-256 836d5752adea361ef5bbf66e80271b3b4c5ddadb9605f6715361960937f874d4

See more details on using hashes here.

File details

Details for the file griddly-0.3.3-cp36-cp36m-macosx_10_15_x86_64.whl.

File metadata

  • Download URL: griddly-0.3.3-cp36-cp36m-macosx_10_15_x86_64.whl
  • Upload date:
  • Size: 6.7 MB
  • Tags: CPython 3.6m, macOS 10.15+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/40.6.2 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.6.12

File hashes

Hashes for griddly-0.3.3-cp36-cp36m-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 f7fea5e24c6bbe54fbe93d414dd2ade154b49d0461e22e8923bef7c0d293f594
MD5 18b7326788cef9d52d9207818bf990bd
BLAKE2b-256 0db8b49a37bd8b22c5ab164631413e84ebc1e4b52921d24054edb2e0b6ff8bdc

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