Signalling games in python
Project description
Overview
- Tutorial | Google Colab
- Documentation | ReadTheDocs
- Package | PyPI
- Source code | GitHub
evoke enables users to recreate signalling game simulations from the academic literature.
It comprises a library of methods from evolutionary game theory evoke/src/ and an ever-growing collection of user-friendly examples evoke/examples/.
Online tutorial
See the interactive tutorial on Google Colab.
Installation
Install with pip: pip install evoke_signals.
Basic usage
To create one of the example figures, simply import the relevant class and create an instance of it:
from evoke.examples.skyrms2010signals import Skyrms2010_1_1
fig1_1 = Skyrms2010_1_1()
Certain figures allow you to specify your own parameters:
from evoke.examples.skyrms2010signals import Skyrms2010_3_3
fig3_3 = Skyrms2010_3_3(iterations=1000)
See the examples/ directory for a collection of available figures.
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file evoke_signals-0.1.3.tar.gz.
File metadata
- Download URL: evoke_signals-0.1.3.tar.gz
- Upload date:
- Size: 66.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.11.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
ce4fa53af735d0d79eec4f65eb6c6abf87c51831de914e27e7ed3a79cab513c5
|
|
| MD5 |
013b9a3e32911d691060bef71a0cd032
|
|
| BLAKE2b-256 |
7b783c7aa4a6413292612d9553b317370ddbd2b8299d0981949ea7a7d556ace0
|
File details
Details for the file evoke_signals-0.1.3-py3-none-any.whl.
File metadata
- Download URL: evoke_signals-0.1.3-py3-none-any.whl
- Upload date:
- Size: 73.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.11.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
4450eb76ba7d6ee3edc1e5afaa61103e0e4e7e45f4c03d1ec88467a67302810b
|
|
| MD5 |
dd5df90b2d3eb589b76cd44af4ddd128
|
|
| BLAKE2b-256 |
c3491ed76e33a28b6736c0d05b83519a13ec9126fa1821482164b883ea112535
|