ISSUE 391  ·   June 14, 2022

Organizations

Awesome Data Leadership

Awesome collection of posts, articles, videos, and threads on leading a data team. Covers a wide range of topics, including hiring, job titles, org structure, BI & analytics within an organization, management skills, culture, data strategy, and more. This is an evolving collection — if you have resources to add, please open a PR.
GitHub | Roni Kobrosly

Supercharge your Postgres for time-series data

TimescaleDB is the open-source relational database for time-series and analytics, built by developers for developers. It brings together the familiarity of PostgreSQL with speed and petabyte scale. Try it for free (no credit card required).
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Tutorials, Projects & Opinions

Design Patterns in Machine Learning Code & Systems

Design patterns don't just make it easier to write good code. They also communicate the problem being addressed and how the code or component is intended to be used. Here are some common patterns used in machine learning code and systems.
Eugene Yan

bnomial - One machine learning question every day

This new site publishes one practical machine learning question every day and aims to teach you something new, one question at a time.
bnomial

Pandas vectorization: faster code, slower code, bloated memory

When you’re processing data with Pandas, “vectorized” operations are generally thought to speed up your code. But in practice, vectorized operations can sometimes make your code slower and they can also significantly increase memory usage. Here's how vectorization works in Pandas, when and why it helps, and when it's harmful.
Python⇒Speed | Itamar Turner-Trauring

DALL·E mini - Generate images from any text prompt

OpenAI had the first impressive model for generating images with DALL·E and the images seem to be everywhere these days. DALL·E mini attempts to reproduce those results with an open-source model. This post explores the project, including links to technical resources and samples along the way. If you want to play, here's a playground >>
Weights & Biases | Boris Dayma, Pedro Cuenca

Tidyverse Tips

This collection of Tidyverse tips and tricks come from watching David Robinson’s screencasts where he does exploratory analyses in R with data he has never seen before. Covers a variety of topics including data wrangling, simple regressions, and visualization. 
Olivier Gimenez

Top 3 ways IMDb’s third-party data enhances user engagement and experience

Join this virtual event to learn the top 3 ways to increase customer engagement and improve user experience by leveraging IMDb’s third-party data. Speakers from AWS and IMDb will show you how to gain new consumer insights, deploy customer-centric features, and create personalized user experiences. Register Now
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Code & Tools

Turn VS Code into an ML Experimentation Platform

This new Visual Studio Code extension lets you run, compare, visualize, and track machine learning experiments right in VS Code. It's a free extension that uses DVC, an open-source data versioning and ML experiment management tool. Read the post for details.
DVC Blog

Announcing vetiver for MLOps in R and Python

Vetiver is a new framework to help "bilingual" data science teams that use R, Python, or both to seamlessly version, share, deploy, and monitor models using consistent and unified practices.
RStudio Blog | Julia Silge, Isabel Zimmerman

Data Visualization

A Very, Very Tiny Grammar of Graphics

The Grammar of Graphics is a language for defining statistical graphics like bar charts, scatterplots, and line graphs from composable pieces. Many libraries are based on it, such as ggplot2, Observable Plot and Vega-Lite. This post introduces the Grammar of Graphics and shows how you might implement a data visualization framework based on it.
Josh Pollock

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