Following in Apple’s footsteps

LOCK AND KEY
What’s driving Silicon Valley to become ‘radicalized’
The fallout from Apple vs. the FBI has the tech industry rattled. More and more companies are upping security—collecting less information, investing in tougher encryption, and giving customers the keys to their own data. - The Washington Post

NO NAME
What every data scientist should know about data anonymization
You can uniquely identify a person with surprisingly little data. This PyData Berlin presentation walks you through the process of anonymizing a data set as well as best practices. - Katharina Rasch

• Related: PyData Berlin 2016 Materials (GitHub)

AND ALL THAT JAZZ
Miles Davis’ legacy, represented by every Wikipedia page that mentions him
From Apple’s “Think Different” campaign to a subgenus of trilobites, Miles Davis’ influence extends well beyond jazz. The data viz masters at Polygraph explored the 2,452 English Wikipedia pages that mention this renowned musician to celebrate his 90th birthday. - Polygraph

TEAMWORK
Bridging the Gap Between Data Science and Data Engineering
Josh Wills, Director of Data Engineering at Slack, shares his thoughts on how data engineers and data scientists work best together. - Hakka Labs

People are talking about: Foursquare + Uber

The news from Foursquare keeps on rolling on. Last month, the company used their proprietary data to predict Chipotle’s decline in sales. Now they’re providing points of interest data to Uber so that riders can type in venue names to specify their pick-up and drop-off locations. It’ll be interesting to see what comes of this data partnership, and others like it.

• Foursquare + Uber! (Mike Harkey)
• Uber taps Foursquare’s Places data so you never have to type an address again (TechCrunch)
• Uber Checks Into Foursquare’s Massive Location Database (Fortune)
  

What’s goin’ on at Mode

Here are a few stories following last week’s launch of Mode Python Notebooks:

• Sourav Dey of DataHoliks shared his company’s story of helping Highfive measure customer engagement.
• RJMetrics’ Yevgeniy Meyer analyzed Zendesk data with pivots and linear regression models.
• Perry Wang from Segment chatted with our Chief Analyst Benn Stancil about what SQL analysts need to know about Python.