vanderwal.net

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.

The Data Journalism Handbook is Available

The Data Journalism Handbook is finally available online and soon as the book Data Journalism Handbook - from Amazon or The Data Journalism Handbook - from O’Reilly, which is quite exciting. Why you ask?

In the October of 2010 the Guardian in the UK posted a Data Journalism How To Guide that was fantastic. This was a great resource not only for data journalists, but for anybody who has interest in finding, gathering, assessing, and doing something with the data that is shared found in the world around us. These skill are not the sort of thing that many of us grew up with nor learned in school, nor are taught in most schools today (that is another giant problem). This tutorial taught me a few things that have been of great benefit and filled in gaps I had in my tool bag that was still mostly rusty and built using the tool set I picked up in the mid-90s in grad school in public policy analysis.

In the Fall of 2011 at MozFest in London many data journalist and others of like mind got together to share their knowledge. Out of this gathering was the realization and starting point for the handbook. Journalists are not typically those who have the deep data skills, but if they can learn (not a huge mound to climb) and have it made sensible and relatively easy in bite sized chunk the journalists will be better off.

All of us can benefit from this book in our own hands. Getting to the basics of how gather and think through data and the questions around it, all the way through how to graphically display that data is incredibly beneficial. I know many people who have contributed to this Handbook and think the world of their contributions. Skimming through the version that is one the web I can quickly see this is going to be an essential reference for all, not just journalists, nor bloggers, but for everybody. This could and likely should be the book used in classes in high schools and university information essentials taught first semester first year.

If I Gave Awards...

I have been a big fan of Mac OSX Hints for quite some time. After this past week and some oddities with a couple of things, Mac OSX Hints is my first stop in solving or taking proactive steps. Not only does the site provide solutions to nearly everything I have ever run across, but it also explains the issues at hand so I have an even better understanding of the system. Awesome.

Needing to write a functional spec? Just want to learn what a functional spec is to know if you should write one? A functional spec tutorial is what is needed.
[hat tip Jay and Cam]