Numerical optimization framework
Project description
Indago
Indago is a Python 3 module for numerical optimization.
Installation
In order to obtain Indago code, clone Gitlab repository by executing following command in the directory where you want to loacte Indago root directory:
git clone https://gitlab.com/sivic/indago.git
For building and installing Indago package into your Python environment
python setup.py build
python setup.py install
Or for continous testing/developing:
python setup.py clean build install
Dependencies
A following packages should be installed using aptitude:
python3python3-pippython3-tk
sudo apt install python3 python3-pip python3-tk
After packages installation using above command, additional python packages should be installed using pip from requirements.txt
pip install -r requirements.txt
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
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 Indago-0.0.2.tar.gz.
File metadata
- Download URL: Indago-0.0.2.tar.gz
- Upload date:
- Size: 12.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/2.0.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.6.0.post20191101 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/3.7.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
10164c7f7c26c6733ac73650343cb8960d9272d617f372e344db52559efdc491
|
|
| MD5 |
607f01aa25e476bd395798629f8b5de0
|
|
| BLAKE2b-256 |
67fa95241a3c9bba634de04e61f9d8a1650b732f8a98951df51413b59dd256eb
|
File details
Details for the file Indago-0.0.2-py3-none-any.whl.
File metadata
- Download URL: Indago-0.0.2-py3-none-any.whl
- Upload date:
- Size: 14.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/2.0.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.6.0.post20191101 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/3.7.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
db12ffd617e1d4903a8fcd41d0cf5173175e4c5b27e5e59916da41f265677119
|
|
| MD5 |
9100c00d6e2252b3e0b7e7c655c7ebc0
|
|
| BLAKE2b-256 |
831b6ef570bc075273c722a88d274b32c35c81880d915c2ccb2e4de1b5605cdc
|
