Tools and Techniques
Great article that explores how the locations of new businesses are determined. Using data from dozens of different sources and techniques from a wide range of disciplines, including game theory, machine learning, natural language processing, statistics, and urbanism, the authors create a model that predicts optimal coffee shop locations in New York City.
Another day, another breach. Here's a practical guide for protecting your data online and, even more importantly, everyone else's.
A recent study by Stack Overflow showed that Python is the fastest-growing major programming language. In this article, David Robinson explores why. He considers the specific packages being discussed on Stack Overflow, industries that users are coming from, and user job roles. It turns out that Python's growth is largely about data science.
This tutorial shows how to use Twitter's API to access a user's Twitter history and perform basic sentiment analysis using Python's textblob package. Includes lots of code snippets and it's trivial to swap in any Twitter user you might be interested in.
Want to build or improve a search experience? Start here. This is a fantastic overview, including design considerations, algorithms, practical suggestions, existing search products, and lots of linked references. This post is part of an open, collaborative effort to build an online reference, The Open Guide to Practical AI.