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





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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
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