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SF Data Weekly - Twint, Honest Charts and Some Good Books

This week's pick shows how to harvest and analyze Tweets using the Twint Python library. We also hav
November 13 · Issue #163 · View online
SF Data Weekly
This week’s pick shows how to harvest and analyze Tweets using the Twint Python library. We also have some interesting book recommendations, a piece on keeping data visualizations honest, and a deep dive into an exciting new Tableau feature. Stay healthy!

Our Pick
Getting Valuable Insights and Visualizations from Tweets Using Python and Twint | by Zijing Zhu | Towards AI | Nov, 2020 | Medium
Data Pipelines
Mastering Data Filtering with Pandas | by Sadrach Pierre, Ph.D. | Nov, 2020 | Towards Data Science
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Data Storage
Handling data erasure requests in your data lake with Amazon S3 Find and Forget | Amazon Web Services
Data Analysis
Data Analytics in E-Commerce Retail | Towards Data Science
Seven Fun Books Which Made Me a Better Data Analyst | by Sruthi Korlakunta | Nov, 2020 | Towards Data Science
6 Best Python Books for Data Science and Machine Learning in 2021 | by javinpaul | Javarevisited | Nov, 2020 | Medium
Data Visualization
Keep your graphs and charts honest by avoiding these common data visualization pitfalls. | by Amy Balliett | Better Humans | Nov, 2020 | Medium
How Tableau’s New Data Relationships Feature Will Help You Unlock the Potential of Your… | by Danny Sidani | Slalom Data & Analytics | Nov, 2020 | Medium
Data-driven Products
Data Quality at Airbnb. Part 1 — Rebuilding at Scale | by Jonathan Parks | Airbnb Engineering & Data Science | Nov, 2020 | Medium
IAM whatever you say IAM | by Alex Chantavy and Andrew Johnson | Lyft Engineering
Data Engineering Jobs
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