Andrew Fairless, Ph.D.
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Entries tagged :: data science
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2025-08-05
What I Read: Python Polars
2025-07-28
What I Read: Save Product
2025-07-01
What I Read: LLMOps, human
2025-05-13
What I Read: history, tidyverse
2024-09-10
What I Read: Command-line Tools, Faster
2024-09-09
What I Read: Scaling to Multi-Terabyte Datasets
2024-09-05
What I Read: notebooks, McDonalds of code
2024-08-22
What I Read: Cookiecutter Data Science V2
2024-07-10
What I Read: anti-patterns, data reuse
2024-07-01
What I Read: Data Science, Mostly Dispatch
2024-06-27
What I Read: Dont put notebooks into production
2024-02-28
What I Read: Navigating Data Tensions
2023-08-02
What I Read: Why Most Data Projects Fail
2023-04-25
What I Read: Data science, cloud
2023-04-05
What I Read: Data Product vs. Service
2022-09-05
What I Read: Is Data Scientist Still the Sexiest Job?
2022-02-15
What I Read: Ways I Use Testing as a Data Scientist
2021-12-20
What I Read: Lessons on ML Platforms
2021-09-09
What I Read: The dysfunctions of Data Engineering
2021-09-01
What I Read: Against SQL
2021-08-26
What I Read: The one data platform to rule them all
2021-08-17
What I Read: I Like Notebooks
2021-08-17
What I Read: I Like Notebooks
2021-08-12
What I Read: Building Data Platform
2021-08-10
What I Read: Data Science Peer Review
2021-08-06
What I Read: Abstraction, Data Science
2021-07-07
What I Read: Five types of thinking
2021-07-05
What I Read: Data Scientists Need to Know How to Code
2021-06-21
What I Read: Hiring Data Scientists
2021-05-11
What I Read: Models of Data Science teams
2021-04-13
What I Read: Software Engineering Best Practices for Data Scientists
2021-04-12
What I Read: My Love / Hate Relationship With Jupyter
2021-03-28
What I Read: 15 common coding mistakes data scientist make
2021-03-17
What I Read: technical debt, ML pipelines
2021-02-04
What I Read: Architectures for Modern Data Infrastructure
2021-01-29
What I Read: The power of the full-stack data science generalist
2020-12-22
What I Read: Coding habits for data scientists
2020-12-21
What I Read: Peer Reviewing Data Science Projects
