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Database for Humans

dbConnect: Database for Humans

.. image:: https://readthedocs.org/projects/dbconnect/badge/?version=latest :target: https://dbconnect.readthedocs.io/en/latest/?badge=latest :alt: Documentation Status .. image:: https://travis-ci.org/mastizada/dbConnect.svg?branch=master :target: https://travis-ci.org/mastizada/dbConnect .. image:: https://landscape.io/github/mastizada/dbConnect/master/landscape.svg?style=flat :target: https://landscape.io/github/mastizada/dbConnect/master :alt: Code Health

WHY?

dbConnect was made as a little module to be used in small projects that need to do some interactions with MySQL or PostgreSQL databases.

It's just a big time saver for developers specially for making data analyzing and data scraping and it helps to keep your code clean and readable by using python-like structure.

Installation

requirements: ^^^^^^^^^^^^^ dbConnect uses mysql.connector and mysqlclient modules for mysql, install one of them using:

.. code-block:: bash

$ apt-get install python3-mysql.connector $ apt-get install python-mysql.connector

Or using offical site: https://dev.mysql.com/downloads/connector/python/

.. code-block:: bash

$ pip install mysqlclient

More details on mysqlclient: https://github.com/PyMySQL/mysqlclient-python

For PostgreSQL install psycopg2 module:

.. code-block:: bash

$ pip install psycopg2

using pip: ^^^^^^^^^^

.. code-block:: bash

$ pip install dbConnect

from source code: ^^^^^^^^^^^^^^^^^^

.. code-block:: bash

$ git clone [email protected]:mastizada/dbConnect.git
$ cd dbConnect
$ sudo python setup.py install

Usage

Importing and making a connection:

.. code-block:: python

>>> from dbConnect import DBConnect
>>> database = DBConnect(credentials.json)
>>> database.fetch('tableName', limit=5, filters={'company': 'pyninjas'})

Documentation

  • Docs: http://dbconnect.readthedocs.org/

  • Alternate Docs: https://pythonhosted.org/dbConnect/

  • Check generated documentation using:

    .. code-block:: bash

      $ pydoc3 dbConnect
    

    or

    .. code-block:: bash

      $ pydoc3 -p 8000
    

    and open http://localhost:8000/ in browser

Enjoy