Cool!

https://github.com/pythonql/pythonql/wiki/PythonQL-Intro-and-Tutorial

How do I determine how much computation is pushed to the data? (Instead of pulling all the data and running the computation with one local node) ... https://en.wikipedia.org/wiki/Bulk_synchronous_parallel (MapReduce,)

http://pandas.pydata.org/pandas-docs/stable/io.html#sql-queries
- http://pandas.pydata.org/pandas-docs/stable/generated/pandas.read_sql_query.html
- https://github.com/yhat/pandasql/
- http://docs.ibis-project.org/sql.html#common-column-expressions
- https://github.com/cloudera/ibis/blob/master/ibis/sql/alchemy.py

On Tuesday, November 1, 2016, Pavel Velikhov <pavel.velikhov@gmail.com> wrote:
Hi Folks,

  We have released PythonQL, a query language extension to Python (we have extended Python’s comprehensions with a full-fledged query language,
drawing from the useful features of SQL, XQuery and JSONiq). Take a look at the project here: http://www.pythonql.org and lets us know what you think!

  The way PythonQL currently works is you mark PythonQL files with a special encoding and the system runs a preprocessor for all such files. We have
an interactive interpreter and Jupyter support planned.

Best regards!
PythonQL team
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