exploratory modelling in Python
Project description
Project Documentation: https://emaworkbench.readthedocs.io/
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 Distribution
ema_workbench-2.1.3.tar.gz
(24.6 MB
view details)
Built Distribution
File details
Details for the file ema_workbench-2.1.3.tar.gz
.
File metadata
- Download URL: ema_workbench-2.1.3.tar.gz
- Upload date:
- Size: 24.6 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.9.13
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 |
f9c0c3c94aba0149a0809991b13717d720107b937fc157c3f9de57fab95a068c
|
|
MD5 |
4e7f8b4d55875ca02c37c681764d4f5d
|
|
BLAKE2b-256 |
92beb74865cdb79e81bc2a8a63b5ae80c19eb6f7d0eabc21ee162936c40b9df3
|
File details
Details for the file ema_workbench-2.1.3-py3-none-any.whl
.
File metadata
- Download URL: ema_workbench-2.1.3-py3-none-any.whl
- Upload date:
- Size: 24.6 MB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.9.13
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 |
1b7061739ae88f4a6dbd69ff538fbc7a65419960e6b8bce05e5e7c20153b851b
|
|
MD5 |
774b01dc52056b83f220aee83e63cd34
|
|
BLAKE2b-256 |
792730c21ad5803756db92b599a88e9911cb11bb88a80660ac6d7dc494a4957b
|