Build a Data Science Query Language in Python using Lark

Build a Data Science Query Language in Python using Lark What if you could write something like this: DATA [1, 2, 3, 4, 5] SUM MEAN STD …and have it behave like a mini data science engine? In this tutorial, we’ll build a ** Domain-Specific Language ( DSL ) ** for data analysis using: - Python - Lark ( parser library ) - NumPy --- # What Are We Building? We are creating a ** custom query language ** that: - Accepts a dataset - Runs statistical commands - Prints results --- # Step 1: Install Dependencies ``` { % endraw % } bash pip install lark numpy { % raw % } Step 2: Define the Grammar The grammar defines how our language looks. python from lark import Lark, Transformer import numpy as np grammar = """ start: data command+ data: "DATA" list command: "SUM" -> sum | "MEAN" -> mean | "STD" -> std | "MAX" -> max | "MIN" -> min list: "[" NUMBER ("," NUMBER)* "]" %import common.NUMBER %import common.WS %ignore WS """ Explanation start: data command+ Program must start with DATA Followed by