Installation¶

This part of the documentation covers the installation of Decanter AI Core SDK.

Python Version¶

We recommend using the latest version of Python. Decanter AI Core SDK supports Python 3.7 and newer.

These distributions will be installed automatically when installing Decanter AI Core SDK.

requests is an elegant and simple HTTP library for Python, handles apis requests and responses.
pandas is a powerful data analysis and manipulation tool, used to better display data and handle data format in Decanter AI Core SDK.
matplotlib is a library for creating visualizations in Python, used to plot chart with informations.
tqdm decorate an iterable object, provides the progress bar to show decanter’s progress.
pyzipper read and write AES encrypted zip files, handles the model downloading.
numpy the fundamental package for scientific computing with Python, support plotting in Decanter AI Core SDK.

Use a virtual environment to manage the dependencies for your project, both in development and in production.

Use a virtual environment to manage the dependencies for your project, both in development and in production.

Conda

$ conda create -n myenv python=3.7
$ conda activate myenv

Vitualenv

$ virtualenv myenv
$ source myenv/bin/activate

Within the activated environment, use the following command to install Decanter AI Core SDK:

$ pip install decanter-ai-core-sdk

Decanter AI Core SDK is now installed. Check out the Quickstart or go to the Documentation Overview.