06 November 2023

Wolfram Language

Here's a snippet from the book:

The Wolfram Language seems too easy; is it really programming?
Definitely. And because it automates away the drudgery you might associate with programming, you’ll be able to go much further, and understand much more.

13 October 2023

Being good enough at something to make a living at it is always a challenge

A recent article on DEV [DEV Community is a community of 1,164,769 amazing developers], entitled, "Unpopular Opinion: It’s harder than ever to be a good software engineer," is about what adds value when it comes to software engineering. 

Many of the points made can be applied to virtually any profession. For instance, journalism. Journalists also have to write; instead of writing code they're writing articles. But being a good journalist, that is good enough to make a living doing it, is not so easy.

15 April 2023

Words From a Savvy Technocrat

"If lucid and rivian don’t change things as soon as possible they will go bankrupt. Getting volume production and profitability is insane to make happen. That’s why what Tesla did is 🤯🤯🤯 @elonmusk"

https://twitter.com/teslaownersSV/status/1646738351742140417?t=mRXOeVbpk8hCuSVctpEi9w&s=19

14 September 2021

03 June 2021

Tip: Google can read out loud almost any story on your Android phone

When you invoke the Assistant while looking at an article and say something like "Read it," "Read this page," or "Read it to me," it will give you an audiobook version of the content you're seeing. You can even try that with the text right here.


17 February 2021

Enterprise Data Warehouses (EDWs): Economics, Deployment, and Maintenance

  • AWS Redshift: the size and quantity of the instances required to handle ingest and workload must be predicted. 
  • Microsoft Azure SQL DW: users must choose the cDWU rating that best meets their needs. 
  • Snowflake users must determine the mix of storage and the size of the virtual data warehouse that best suits the needs of each business unit as well as for a dedicated warehouse used for loading data.
  • BigQuery: customers do not have to plan and size the configuration to meet their needs. BigQuery is completely serverless and customers do not have to plan or adjust the supporting infrastructure.