ISSUE 402  ·   August 30, 2022

Introducing the Data Elixir Talent Collective

The Data Elixir Talent Collective is a reverse job board where top companies apply to you. Members control all communication, so you won't get the noise that's typical on other recruiting channels. Choose to be anonymous or public and get matched with opportunities that fit your specific interests; be it a career move, more pay, remote work, etc. 

This is a free resource but membership is limited to professionals with 3+ years experience in data science, analytics, ML, visualization, and related fields. The plan is to create the highest signal-to-noise hiring resource for roles in the data ecosystem. For more info, apply here >>

Tutorials, Projects & Opinions

Causal Forecasting at Lyft - Part 2

In this second post of a series, Sameer Manek and Duane Rich describe the practical side of causal forecasting at Lyft. Specifically, they take a look at the software and algorithms that Lyft uses to bridge the gap between causal theory and implementation.
Lyft Engineering Blog | Sameer Manek and Duane Rich

An astronomer's introduction to NumPyro

Nice introduction to NumPyro, including examples that show how to use NumPyro to do Bayesian inference. 
Dan Foreman-Mackey

The Rise of Data Contracts

Data Contracts are API-like agreements between engineers who own services and data consumers, like analysts and data scientists, who understand how the business works and have specific data needs in order to generate well-modeled and dependable products. This is a nice intro to data contracts, the problems they solve and how to use them.
Data Products | Chad Sanderson

Real-time data quality tests using dbt and Materialize

Have you ever encountered a data quality issue where you’ve said "Wow, I wish I could have found out about this issue later.” No? Using Materialize as your backend alongside dbt, you can monitor your data pipelines and get notified in real-time when data quality expectations fail. Check out how in this post.
// sponsored

Resources

⚽ Soccermatics: mathematical modeling of football

David Sumpter's new course will show you how to understand the game of football using mathematics, statistics and machine learning. Guest lectures from world-leading practitioners and researchers help make it one of the most comprehensive ⚽ analytics courses anywhere. And if you're not looking for credits, the lessons, videos, and code are all free.
David Sumpter

Code & Tools

Ibis: Expressive analytics in Python at any scale

Ibis is a Python framework that lets you access data and perform analytical computations from different sources, in a standard way. You can think of Ibis as writing SQL in Python, but with a focus on analytics. And, aside from SQL databases, you can use it with other data stores, such as Apache Impala, BigQuery, Dask, DuckDB, and more.
Ibis Project

Data Visualization

How to visualize a billion rows of data in R with Apache Arrow

In case you ever need to visualize a staggering amount of data, this tutorial by Danielle Navarro shows how to use Arrow to help plot data from a billion-plus taxi rides in New York. This is a practical post that walks through the thinking process for handling a larger-than-RAM dataset and producing a crisp and useful visualization using all the data.
Danielle Navarro

HoloViz Tutorial

HoloViz is an open-source visualization ecosystem that makes it easy to use Python visualization libraries with your data. This is a great, multi-part tutorial that introduces its capabilities and shows how to build and deploy interactive dashboards, how to use HoloViz for big, streaming, and multidimensional data, and how to build interactive exploratory tools without also needing to run a web-tech software project.
GitHub | HoloViz Community

Outlier

Stable Diffusion: the most important AI art model yet

There's been a lot of excitement on the Internet this week about the newly released Stable Diffusion. It's an open-source text-to-image diffusion model and considering the quality of the images bouncing around the web this week, it's a very big deal. This post is a great overview and see the release announcement for links and tech details.
The Algorithmic Bridge | Alberto Romero

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