ISSUE 422 · January 31, 2023
Resources
Pandas Illustrated: The Definitive Visual Guide
Great, in-depth guide to pandas that's part tutorial and part reference, with lots of visuals, code samples and links to additional resources. Starts with a good discussion of how pandas is useful and continues with sections on Series & Index, DataFrames, and MultiIndexing.
Better Programming | Lev Maximov
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Tutorials, Projects & Opinions
Simpson's Paradox and Existential Terror
Great post about Simpson's paradox — a widely misunderstood statistical phenomenon.
Wilde Truth | Vera Wilde
Accelerating our A/B experiments with ML
This post explores a new testing approach that uses machine learning to predict the probable value of a customer. It's called "expected revenue" and it lets Dropbox make conclusions about A/B tests in days, rather than months, which means they can run experiments more often.
Dropbox Tech | Michael G. Wilson
Replacing a SQL analyst w/ 26 recursive GPT prompts
This probably won't replace people but it's a nice demonstration of how GPT could be used to help augment analytic workflows. The post is easy to follow and there's enough detail here that it could be a good starting point for your own needs and experiments.
Patterns | Ken Van Haren
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Tools & Code
ipyflow
ipyflow is a next-generation Python kernel for Jupyter and other notebook interfaces that tracks dataflow relationships between symbols and cells during a given interactive session. It offers reactivity, execution suggestions, syntax extensions, and more.
GitHub | ipyflow
tidypolars
tidypolars is a data frame library built on top of the blazingly fast polars library that gives access to methods and functions that are familiar to R tidyverse users.
GitHub | Mark Fairbanks
Career
What we look for in a resume
If you're looking for work, this post will help you understand how resumes are read and what someone on the other side of the table might be looking for. There's a lot here, including how to show you have the right skills, resume length, cover letters, how startups are different, and more. Includes useful links.
Chip Huyen
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