Python has become a standard language for data analysis — particularly in corporate and government teams — and with good reason. Python is a great language, known by all, with an excellent data ecosystem, and it’s free. I love Python. But I don't love Pandas . By its creator's own admission, Pandas syntax has some strange quirks and is rather verbose. While analysts might come to Python for the powerful data science tools, they invariably spend a lot of time doing basic data wrangling — which in Pandas is harder than it should be. Pivotal is my attempt to address this. Pivotal is a Domain Specific Language (DSL) for data analysis with a concise syntax that compiles into Python (using either Pandas, Polars or DuckDB backends). Pivotal is designed to support interactive Python workflows with a language that is faster to type and easier to read, while still operating over Python data structures and integrating tightly with Python code.…