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PyGMQL

API for calling interactively the GMQL Engine from Python

Documentation Status Build status PyPI version

Documentation

The doucumentation can be found at the following link: http://pygmql.readthedocs.io

Setup

Use Anaconda

We suggest to manage your python distribution through Anaconda. The latest version of can be downloaded from https://www.continuum.io/downloads.

Once your Anaconda distribution is installed, let's create a brand new environment:

conda create --name pygmql python=3.6

Download this repository

First of all download this repository in a choosen location:

git clone https://github.com/DEIB-GECO/PyGMQL.git

Check that the JAVA_HOME enviroment variable is correctly set to the latest JAVA distribution.

echo $JAVA_HOME

If the variable is not set (the previous command does not show nothing), you may need to install JAVA (https://www.java.com/it/download/) and then set JAVA_HOME like the following:

On linux:

echo export "JAVA_HOME=/path/to/java" >> ~/.bash_profile
source ~/.bash_profile

On Mac:

echo export "JAVA_HOME=\$(/usr/libexec/java_home)" >> ~/.bash_profile
source ~/.bash_profile

On Windows:

  1. Right click My Computer and select Properties.
  2. On the Advanced tab, select Environment Variables, and then edit JAVA_HOME to point to where the JDK software is located, for example, C:\Program Files\Java\jdk1.6.0_02.

Install with pip

Than go inside the library folder and install the package as follows:

cd PyGMQL
pip install -e .

We strongly suggest to use the library with the support of a Jupyter Notebook for the best graphical rendering of the data structures. It may be necessary to manually install the Jupyter kernel:

source activate pygmql
python -m ipykernel install --user --name pygmql --display-name "Python (pygmql)"

Run the library

Firstly activate the pygmql conda environment and enter in the interactive Python shell

source activate pygmql
python

Then simply import the library

import gmql as gl

Now you are ready to use PyGMQL! Congratulations!

Keep the code updated

This is a constantly evolving project. Therefore the library will be constantly added with new features. Therefore we suggest to update your local copy periodically:

cd PyGMQL
git pull

Tutorial

You can download a tutorial for beginners at this link

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Python Library for data analysis based on GMQL

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