Pyserva 1.1.1

The Senserva Python library

The Senserva Python Library is provided to help analyze and visualize data. The JupyterNotebookHelper module will assist users who are utilizing Jupyter Notebooks for their needs. The StandAloneApiHelper will be useful for those who want a pure Python experience. Our team has also made a sample report for Azure Connections, using the StandAloneApiHelper, which will automate the acquisition of data and building the report.

Install

The Pyserva library is available on the Python Package Index.

The install command on Windows for the package is:

py -m pip install Pyserva

The install command on Unix/Mac for the package is:

python3 -m pip install "Pyserva"

The import commands for the library and modules are:

import Pyserva
from Pyserva import JupyterNotebookHelper
from Pyserva import StandAloneApiHelper
from Pyserva import SampleReport

Modules

JupyterNotebookHelper

This module will focus on helping a user with visualizing Senserva data in a Jupyter Notebook.

StandAloneApiHelper

This module will focus on helping a user with visualizing data from the Microsoft Graph API.

SampleReport

This module is a Python Command Line app, leveraging the StandAloneApiHelper for data.

Support

Please reach to our team of experts via email for questions regarding the library