polypheny 1.0.0

    # Polypheny Connector for Python
    
    This enables Python programs to access Polypheny databases, using an API that is compliant with the [Python Database API Specification v2.0 (PEP 249)](https://www.python.org/dev/peps/pep-0249/).
    
    
    ## Installation
    
    The recommended way to install the Python Connector for Polypheny is via pip:
    ```bash
    pip install polypheny
    ```
    
    Alternatively, if you prefer to install the package manually you can also download the latest [release](https://github.com/polypheny/Polypheny-Connector-Python/releases/), extract the archive and install it manually:
    ```bash
    cd /path/to/polyphney-connector-python-x.y.z/
    python setup.py install
    ```
    
    
    ## Getting Started
    
    A few examples of the most common functionalities provided by the adapter:
    
    
    ```python3
    import polypheny
    
    # Connect to locally running Polypheny via UNIX sockets (on Linux, BSD and macOS)
    con = polypheny.connect()
    
    # Unencrypted over the network (all systems)
    con = polypheny.connect(
      ('127.0.0.1', 20590),
      username='pa',
      password='',
      transport='plain',
    )
    
    # Get a cursor
    cursor = con.cursor()
    
    # Create a new table
    cursor.execute("CREATE TABLE dummy (id INT NOT NULL, text VARCHAR(2), num INT, PRIMARY KEY(id))")
    
    # Insert values into table
    cursor.execute("INSERT INTO dummy VALUES (407 , 'de', 93)")
    con.commit()
    
    # Execute a query
    cursor.execute("SELECT * from dummy")
    
    print("\nRelational results from SQL")
    for row in cursor:
        print("\t", row)
    
    # Accessing data using MQL
    cursor.executeany('mongo', 'db.dummy.find()', namespace='public')
    
    print("\nDocument results from MQL (as Python dicts)")
    for doc in cursor:
        print("\t", doc)
    
    cursor.execute("DROP TABLE dummy")
    
    # Close the connection
    con.close()
    ```
    
    An in-depth and more detailed documentation can be found [here](https://docs.polypheny.com/en/latest/drivers/python/overview).
    
    ## Tests
    Run the tests with coverage report:
    ```
    coverage run --source polypheny -m pytest && coverage report -m
    ```
    
    
    ## Roadmap
    See the [open issues](https://github.com/polypheny/Polypheny-DB/labels/A-python) for a list of proposed features (and known issues).
    
    
    ## Contributing
    We highly welcome your contributions to the _Polypheny Connector for Python_. If you would like to contribute, please fork the repository and submit your changes as a pull request. Please consult our [Admin Repository](https://github.com/polypheny/Admin) and our [Website](https://polypheny.org) for guidelines and additional information.
    
    Please note that we have a [code of conduct](https://github.com/polypheny/Admin/blob/master/CODE_OF_CONDUCT.md). Please follow it in all your interactions with the project. 
    
    
    ## License
    The Apache 2.0 License