The ibmdbpy project provides a Python interface for data manipulation and access to in-database algorithms in IBM dashDB and IBM DB2. It accelerates Python analytics by seamlessly pushing operations written in Python into the underlying database for execution, thereby benefiting from in-database performance-enhancing features, such as columnar storage and parallel processing.9 votes
Instructions for using ibmdbpy in Jupyter notebooks can be found here: http://support.datascientistworkbench.com/knowledgebase/articles/860571-access-dashdb-or-db2-using-ibmdbpy-from-python-n
There is also a sample notebook on the welcome screen.
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