In 2016, he encountered Python and was awakened to data analysis.
Only two years later, he published a book titled "Statistical Analysis with Python(Japanese title: Understanding the Basics of Statistical Analysis with Python)".
In 2020, he became a professional Shogi player, and is currently enrolled in a PhD program at the Graduate School of Information Science and Technology of the University of Tokyo.
With his motto "Do what you enjoy with your whole heart", he goes on another journey to satisfy his curiosity.

Brandt is a Python core developer currently working at Microsoft on a team tasked with improving the speed of the CPython interpreter.
He has been officially involved in CPython development for over two years now, and has improved its performance, stability, and expressiveness in a variety of ways.
Most notably, he spent most of the past year helping design and lead the implementation of structural pattern matching, a major new feature arriving in Python 3.10.
When he’s not pushing new commits on GitHub as @brandtbucher, he spends most of his free time at coffee shops sipping dark roast espresso and reading nonfiction.