SF Data Weekly - Realistic Expectations, All About Felix and Humans of Lyft

#238・
5.24K

subscribers

259

issues

Subscribe to our newsletter

By subscribing, you agree with Revue’s Terms of Service and Privacy Policy and understand that SF Data Weekly will receive your email address.

Revue
 
 
May 6 · Issue #238 · View online
SF Data Weekly
Our pick this week is a piece on forming realistic expectations about data, as part of a journey towards becoming a data analyst.
We also have a piece on a site that tracks and visualizes over 100 different data types about a guy named Felix, as well as an article about some of the humans who do data science at Lyft. Stay healthy!

Our Pick
How to form realistic expectations about data | by Cassie Kozyrkov | Apr, 2022 | Towards Data Science
Data Pipelines
GitHub - dflemstr/rq: Record Query - A tool for doing record analysis and transformation
The Ultimate Shopify E-Commerce Tech Stack Guide | Integrate.io
Data Storage
Ultorg: a user interface for relational databases
Vectorization in OLAP Databases — tech ramblings
Data Analysis
Step 2 in the Data Exploration Journey: Going Deeper into the Analysis | Nightingale
Using Tidycensus to gather Census Data quickly. | MLearning.ai
Data Visualization
How I put my whole life into a single database · Felix Krause
Best Seaborn Visualizations for Data Science | by Bharath K | Apr, 2022 | Towards Data Science
Data-driven Products
Evolution of ML Fact Store. by Vivek Kaushal | by Netflix Technology Blog | Apr, 2022 | Netflix TechBlog
Humans of Lyft Science. By: Shuang Wu and Viviana Hernandez | by Shuangwu | Apr, 2022 | Lyft Engineering
Data Engineering Jobs
Did you enjoy this issue?
In order to unsubscribe, click here.
If you were forwarded this newsletter and you like it, you can subscribe here.
Powered by Revue
650 California St., San Francisco, CA 94108