SF Data Weekly - Resolution Fodder, Redshift, Snowflake and Matplotlib

Our first pick is five data science books for you to read in 2021.

To complement the five books, here are five Github repos with code for data scientists or analysts.

Getting rid of duplicates is a common task for any data pipeline. This piece describes how to do it within BigQuery, using native BigQuery tools.

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The title of this piece is a little misleading – it’s mainly a list of new features introduced in Snowflake during 2020, but it’s a good roundup with pointers to documentation for every new feature.

A good roundup of the (significant) advancements in Redshift during 2020. If you haven’t been paying attention to Redshift lately, this is worth a read.

A group of nicely illustrated NumPy array transforms for readers with some Python knowlege.

Here’s a good piece for those of you still thinking about your New Year’s resolutions – seven solid skills to learn in 2021.

How to create animation using Matplotlib and Celluloid in Python, with both 2D and 3D examples.

Hypergraphs are a generalization of graphs where one relaxes the requirement for edges to connect just two nodes and allows instead edges to connect multiple nodes. This piece includes a nice tutorial-style

PyDeequ is a Python wrapper for the Scala-based tool Deequ, Amazon’s in-house tool for verifying the quality of large production datasets.