PySociaLite: Python-embedded Query Language for Distributed Data Analysis - Jiwon Seo

PySociaLite: Python-embedded Query Language for Distributed Data Analysis

Jiwon Seo ／英語

    PySociaLite is a Python integrated query language for data processing. The query language(SociaLite) supports simple annotations for partitioning data over distributed machines; then, SociaLite makes it easy to process distributed data without explicit communication code. Python integration makes SociaLite very powerful, making thousands of existing Python code accessible in SociaLite queries.
    

關於講者

Jiwon Seo is a PhD student in Stanford university, studying parallel query language for data analysis. He contributed to Python in various ways; for example, he implemented PEP 289 (Generator Expressions) and PEP 3102 (Keyword-Only Arguments).
He designed and implemented a parallel and distributed query language, called SociaLite. The SociaLite compiler generates efficient parallel/distributed code from user queries. SociaLite queries can be embedded in Python programs, allowing users to enjoy flexibility of Python and efficiency of SociaLite. More information is in  http://seojiwon.github.io/socialite/