Metadata-Version: 2.1
Name: pyTigerGraphBeta
Version: 0.0.9.7
Summary: Library to connect to TigerGraph databases - Beta Realease
Home-page: https://github.com/zrougamed/pyTigerGraph
Author: Zrouga Mohamed / Jonathan Herke / Parker Erickson / TigerGraph
Author-email: medzrouga@gmail.com
License: MIT
Download-URL:  
Description: # pyTigerGraph
        
        pyTigerGraph is a Python package for connecting to TigerGraph databases. Check out the extended docs [here](https://pytigergraph.github.io/pyTigerGraph/)
        
        ## Getting Started
        To download pyTigerGraph, simply run:
        ```pip3 install pyTigerGraph```
        Once the package installs, you can import it and instantiate a connection to your database:
        ```py
        import pyTigerGraphBeta as tg
        
        conn = tg.TigerGraphConnection(host="<hostname>", graphname="<graph_name>", username="<username>", password="<password>", apiToken="<api_token>")
        ```
        If your database is not using the standard ports (or they are mapped), you can use the following arguments to specify those:
        - restppPort (default 9000): [REST++ API port](https://docs.tigergraph.com/dev/restpp-api/restpp-requests)
        - gsPort (default: 14240): [GraphStudio port](https://docs.tigergraph.com/ui/graphstudio/overview#TigerGraphGraphStudioUIGuide-GraphStudioOn-Premises)
        
        For example, in case of using a local virtual machine with the ports mapped:
        ```py
        conn = tg.TigerGraphConnection(host="localhost", restppPort=25900, gsPort=25240, graphname="MyGraph", username="tigergraph", password="tigergraph", apiToken="2aa016d747ede9gg6da3drslm98srfoj")
        ```
        
        ## Example Projects
        
        - [Connecting to TigerGraph Database with pyTigerGraph](https://colab.research.google.com/drive/1sYv3Jvc6KYsqC4D-Rxkvjh4iPnrp4rg7)
        
        - [Predicting IPOs using Graph Convolutional Neural Networks](https://towardsdatascience.com/predicting-initial-public-offerings-using-graph-convolutional-neural-networks-42df5ce16006?source=friends_link&sk=17501f6534a0352951d118eb8b597599)
        
        - [Using pyTigergraph With Plotly](https://colab.research.google.com/drive/1MwtdXlbxzUsVgiI2bv1U-QmV0r5ES_Q-)
        
        - [TigerGraph to Tensorflow](https://colab.research.google.com/drive/1yXg1UTJynjLKmdCvVNm_ldvurTR6szGN)
        
        - [Movie Prediction with Graph Convolutional Neural Networks](https://colab.research.google.com/drive/11tcL4KXXwY__TmUUTjOf6InFQMC-VsG6)
        
        ## Credits
        pyTigerGraph was originally created by Parker Erickson, a Computer Science student at the University of Minnesota. Special thanks to contributors Jon Herke and Szilard Barany of TigerGraph. Read [this](CONTRIBUTING.md) to learn more about how you can contribute.
        
Keywords: TigerGraph,Graph Database
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Build Tools
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Description-Content-Type: text/markdown
