Off the Top: Data Science Entries

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18 September 2026

Homebrew Now with a Mac Desktop App

If you are on Mac, love Open Source, and are using or have been thinking about using Homebrew: The Package Manager for Everywhere, there is now a Mac app for Homebrew - Homebrew/BrewUI: Homebrew’s official macOS GUI.

Somewhere mid-week I stumbled upon it and thought it was worth a try. This may be one of my new favorite apps. I normally update Homebrew on my Mac every month or two. I use Homebrew for all sorts of different things (it is one of my Python builds, but not my main environment). But, having an app with easy quick Homebrew package and cask updates, I can easily see what packages I have (and if they need updating, and what their upstream and downstream dependancies are), and Homebrew doctor is included too.

Posted at 10:32 PM from Bethesda, Maryland.  
Marked as :: Apple/Mac :: Data Analysis :: Data Science :: Dev :: Open Source :: in Weblog
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28 August 2026

Tech Learning and Reference Resources

This week I picked up another Humble Bundle collection of tech books (Humble Bundle Book Sales) and this round was for python, Rust, and data. The Humble Bundle offers are incredibly inexpensive and offer both PDF and ebook versions of each book in the bundle. I really like having the PDFs on my local drive for quick searching in and across them. But, I also pull the ebooks into Apple Books app for highlighting and annotation notes (both of them get captured by Readwise / Reader for me and added into a folder in Obsidian for linking to and from). Additionally the book purchases in Humble Bundle donate to causes, which is an added benefit.

The other resource I use a lot is the O’Reilly Media Platform which has not only all O’Reilly Media books, but also around 200 other providers and their books and media. It has courses, webinars, conference videos (transcribed so searchable), video training from many different providers, certification materials, and much more. It isn’t inexpensive, but it is about the price of a half or full day conference, but packed with far more content and available for the year. The coverage is not only technology related, but finance, economics, sciences, and more. I’m not personally a big fan of formal training sessions, but most of the ones I’ve been to that O’Reilly has put on have been better than anything I’ve had from any company-provided provided content.

Posted at 9:31 PM from Bethesda, Maryland.  
Marked as :: Books :: Data Science :: Learning :: Reference :: Research :: Technical Reference :: Technology :: in Weblog
[perma link for: Tech Learning and Reference Resources] 
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