In this podcast episode, Robert Young, the director of an analytical chemistry lab at New Mexico State University, shares his unique journey from being a lawyer to becoming a chemist and a Python programmer. Watch here: Or listen here: He explains how his passion for environmental causes led him to study chemical analysis and mass… Continue reading Using Python (and FastAPI) to support PFAS research
Articles on Data Science
Cool data side projects and prolific content creation
By PyBites Team on 15 December 2022
Listen here: This week we talk with Kristen Kehrer about her journey as a data scientist, developer advocate and content creator. We dive into how she got into DS and what excites her about the field. We talk about her developer relations work at Comet ML, her journey from R to Python, and some really cool data… Continue reading Cool data side projects and prolific content creation
Software Engineering and Entrepreneurship
By PyBites Team on 15 November 2022
Listen here: This week we talk with Yujian, software developer and entrepreneur. We dive into: – His background. – Why he uses Python and the switch from Java. – His core Python focus these days + cool side projects he’s maintaining. – How entrepreneurship is fundamentally different from software engineering. – His viral post on certificates vs the reality of looking things up… Continue reading Software Engineering and Entrepreneurship
Automating the Boring Stuff and Plotting Student Data
By Russell Helmstedter on 28 June 2022
My name is Russell Helmstedter. I am a middle school math and computer science teacher at De Anza Academy of Technology & the Arts (DATA). My first exposure to Python was in March of 2020. For some reason, I was stuck at home and couldn’t go out and do things. I decided to learn how… Continue reading Automating the Boring Stuff and Plotting Student Data
Cleaning Text Data With Python
By David Colton on 30 September 2020
Machine Learning is super powerful if your data is numeric. What do you do, however, if you want to mine text data to discover hidden insights or to predict the sentiment of the text. What, for example, if you wanted to identify a post on a social media site as cyber bullying. In this article we introduce some methods to clean your text and prepare it for modelling.