Notes from my first strongman competition (which I entered despite having a 2 week old baby)!
I talk with Jowanza Joseph about his new book Mastering Apache: Pulsar Cloud Native Event Streaming at Scale.
A proposed code review guideline for data science teams, emphasizing the benefits of code reviews, what they are not intended for, and offering advice for both submitting and reviewing pull requests.
How a simple data cataloging tool transformed our team's research process
I talk with Brenton Mallen about his career progression from ocean engineering to data science.
I talk with Roy Keyes about his important new book Hiring Data Scientists and Machine Learning Engineers.
The post recounts the my journey with Python, highlighting how "Learning Python" by Mark Lutz significantly impacted my career.
Adam Laiacano and I talk with Willem Pienaar, software engineer at Tecton, about feature stores and his work on the Feast open source feature store library.
In this episode I talk with Spotify Staff Machine Learning Engineer Adam Laiacano about his roots working on nuclear clocks and his evolution into leading machine learning projects at Spotify.
In this episode, I speak with Mike Rogers, Senior Director of Solutions Architecture at Tala Security, about the importance of customer-focused data science for enterprise software products.
In this episode, Joel and I discuss his brilliant new book Ten Essays on Fizz Buzz Meditations on Python, mathematics, science, engineering, and design.
A parody of the children's book "Goodnight Moon" for the modern tech worker.
Some tips for working from home
In this episode, we discuss metadata stores, the marketability of math skills, dreams for the data science language of the future, the career advantage of tackling easy problems, and machine learning as technical debt. Josh also bashes blockchains.