Lydia Peabody
Lydia is a data wrangler who brings a diverse background to understanding what numbers tell us about the world. She joined the Data and Analytics team at Neighbourlytics after completing a data science bootcamp last year. Prior to that she provided training and coaching for data-driven change in STEM education, and led rock climbing and kayaking adventures for people of diverse backgrounds and abilities, among other bits and pieces.
she/her/hers
What is your Twitter handle? –Session
Interactive notebooks, whether Jupyter, google colab, or others are fantastic for lots of things. A range of options to visualise results, advanced markdown use for communicating process and interpretation, and simple to learn for newbies. But they also get a bad rap for encouraging poor programming techniques which make notebook-code hard to reuse.
As a recent notebook-trained data science bootcamp grad, I’m excited to share what I’ve learned from my move into the real-world of organisational data about the strengths and challenges of notebooks. I’m not an evangelist for notebook lovers or loathers - just someone figuring out how to use tools to make things that work. Hopefully this talk will help you think through the choice to notebook or not more intentionally.