Cheryl Cong
Cheryl Cong is a Data Engineering Analyst in Bloomberg's Data department in Hong Kong, specializing in Equity Corporate Actions. In this role, she works closely with product managers, data teams, and engineers on data product developments. She develops and grows automated data pipelines to update financial product data with high accuracy and low latency. She is passionate about staying up-to-date with the latest technologies and trends in the field and will continue developing her skills to make a positive impact. She holds a master's degree in management science and engineering from Columbia University.
Session
Nobody likes waiting around, especially when code is silently crunching away. For data scientists, engineers, and anyone running long-loop operations in Python, the endless blank console can be a source of much anxiety and frustration.
This lightning talk introduces tqdm, Python's secret weapon for banishing the black box. We'll quickly explore how this deceptively simple library transforms mundane loops into engaging, informative progress bars, providing crucial real-time feedback. You'll walk away from this talk understanding how a few simple lines of code can dramatically improve the user experience of your scripts and boost your productivity.