API for calling interactively the GMQL Engine from Python
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
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:
- Right click My Computer and select Properties.
- 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.
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)"
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!
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
You can download a tutorial for beginners at this link