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Building natural language programming systems that are geared towards end-users requires the abstraction of formalisms inherently introduced by programming languages, capturing the intent of natural language inputs and mapping it to existing programming language constructs. We present a novel end-user programming paradigm for Python, which maps natural language commands into Python code. The proposed semantic parsing model aims to reduce the barriers for producing well-formed code (syntacticdoi:10.1145/3301275.3302267 dblp:conf/iui/SchlegelLHF19 fatcat:iiaxo57pdfaj7cqlhidzinxi7q