Fitting Gaussian Process Models in Python

A common applied statistics task involves building regression models to characterize non-linear relationships between variables. It is possible to fit such… Read more

Read full article

Similar

The #1 reason Python rocks for data science

You want to build data products? Learn why Python is the ultimate tool for the job. (more…)

A fully featured, easy to use Python wrapper for the Walmart Open API

wapy - ? A fully featured, easy to use Python wrapper for the Walmart Open API...

Why Doesn’t Python Have Switch/Case?

Tuesday, June 09, 2015 (permalink) (more…)

A Simple Cheat Sheet for Web Scraping with Python

Once you’ve put together enough web scrapers, you start to feel like you can do it in your sleep. I’ve probably built hundreds of scrapers over the years for...

Embedded Python/NumPy in MonetDB

Python is one of the most popular languages in Data Science. It is a flexible scripting language that is easy to use and has a large amount of available statistical libraries. When we're doing statistical analysis in Python, we naturally need data accessi...

Latest News

RLSL: A new Rust-based shading language

Two Tips to Improve Performance by 30% with React and Webpack

I gave a talk about Elm at work; here’s some energy released by the effort