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SF Data Weekly - Fight SF Crime, Dunderless Python and DataViz Conferences

Revue
 
There are a lot of crime data analyses floating around, but our pick this week not only analyzes the
 
November 6 · Issue #162 · View online
SF Data Weekly
There are a lot of crime data analyses floating around, but our pick this week not only analyzes the data, but invites the reader to make it better by publishing a Deepnote Notebook for further data analysis.
We also have an interesting piece on how to avoid dunders in Python, and a good resource listing this Winter’s data visualization conferences. Stay Healthy!

Our Pick
Fight San Francisco Crime with fast.ai and Deepnote | by Anthony Agnone | Nov, 2020 | Towards Data Science
Data Pipelines
Extracting and joining data from multiple data sources with Athena Federated Query | Amazon Web Services
The leading data integration platform to bring all your data sources together. for data-driven companies
Data Storage
How to Make Inserts Into SQL Server 100x faster with Pyodbc | by Anna Anisienia | Oct, 2020 | Towards Data Science
Data Analysis
Dunderless Python. This story is about improving your code quality and ways to reduce boilerplate when working with python. | Towards Data Science
The Dos and Don’ts of Imputation. By E. Zuccarelli | Towards Data Science
Data Visualization
Data Visualization Conferences: Winter 2020–2021 | by Mollie Pettit | Nightingale | Oct, 2020 | Medium
An Ultimate Cheat Sheet for Data Visualization in Pandas | by Rashida Nasrin Sucky | Oct, 2020 | Towards Data Science
Data-driven Products
These ArcGIS StoryMaps collections will inspire you
A Day in the Life of a Netflix Content Analytics Engineer | Netflix TechBlog
Data Engineering Jobs
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