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SF Data Weekly - Automate Your Life, Prefect and Pendulum

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November 12 · Issue #215 · View online
SF Data Weekly
Our pick this week has three examples of automating those little tasks that, taken individually, are easy, but add up over time.
We also have a piece on the Python Prefect workflow automation library, and the Pendulum time library, as well as a real-world example of how visualization helped activists understand the impact of Airbnb. Stay Healthy!

Our Pick
3 Python Projects That Will Help Automate Your Life | by Frank Andrade | Nov, 2021 | Towards Data Science
Data Pipelines
Orchestrate a Data Science Project in Python With Prefect | by Khuyen Tran | Nov, 2021 | Towards Data Science
How to get real-time data insights to Amazon Redshift or Snowflake | FlyData
Data Storage
Query hierarchical data models within Amazon Redshift | Amazon Web Services
Choosing a network connectivity option in Google Cloud | Google Cloud Blog
Data Analysis
All Machine Learning Algorithms You Should Know in 2022 | by Terence Shin | Nov, 2021 | Towards Data Science
Pendulum: Probably The Best Python DateTime Library | by Christopher Tao | Nov, 2021 | Towards Data Science
Data Visualization
I’ve Stopped Using Box Plots. Should You? | Nightingale
What Data Visualization and Analysis Taught One Activist about Airbnb’s Impact on Communities | Nightingale
Data-driven Products
Forecasting SQL query resource usage with machine learning
TrueBlue uses Amazon QuickSight to deliver more accurate pricing and grow business | Amazon Web Services
Data Engineering Jobs
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