Hi there!

I’m Alex Gude, a data scientist with a passion for plots and algorithms, but also cycling and photography. I got my start in the valley at Insight Data Science. In my previous life, I was a high energy particle physicist at CERN and a cosmologist at Lawrence Berkeley Labs.

I write about whatever catches my attention here on this site; mostly that means data science, machine learning, deep learning, and software development related topics. My writings on deep learning from my time at Lab41 can be found at Gab41 and rehosted on this page. If you’re interested in my thoughts in real time, follow me on Twitter: @alex_gude

The code that I write lives on my Github page. Check it out! Bug reports and pull requests welcome!

Recent Writings

Below you can find my most recent articles and projects; older ones can be found here:

An overhead photo of a Department of Energy supercomputer showing the ethernet interconnects.
Where to Host Public Datasets?
When I released the SWITRS dataset, I had to find a place to host a 5 Gig dataset. Here is what I learned.
The planet Jupiter as seen by the departing Juno spacecraft.
Jupyter Notebook Templates for Data Science: Plotting Time Series
Jumpstart your time series visualizations with this Jupyter plotting notebook!
A black and white photo of a man in a short-sleeve collared shirt uses an osciliscope to adjust a circuit board on a Stansaab 'Censor' computer at Standard Radio's factory in Ulvsunda, Stockholm.
Making Custom Markdown for Github Pages
I love Markdown, I take all my notes in it and write my blog in it. But sometimes you want to create new syntax; read on to find out how!
A black and white photo of Henry J.E. Reid, Directory of the Langley Aeronautics Laborator, in a suit writing while sitting at a desk.
Data Science Interview Practice: Machine Learning Case Study
A common interview type for data scientists and machine learning engineers is the ML case study. Read on for an example of how I solve them!
A black and white photo of four women sitting at desks with typewriters, stacks of papers, and card catalogs.
Data Science Interview Practice: Data Manipulation
I often get asked how to practice data science interviews, so here is a practice dataset with a set of questions to answer. Good luck!