Skip to main content

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:

  • python3
  • python3-pip
  • python3-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

Project details


Release history Release notifications

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for Indago, version 0.0.2
Filename, size File type Python version Upload date Hashes
Filename, size Indago-0.0.2-py3-none-any.whl (14.4 kB) File type Wheel Python version py3 Upload date Hashes View hashes
Filename, size Indago-0.0.2.tar.gz (12.3 kB) File type Source Python version None Upload date Hashes View hashes

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN SignalFx SignalFx Supporter DigiCert DigiCert EV certificate StatusPage StatusPage Status page