learning about ease at work from Kent Beck
Stumbled tonight on Kent Beck's keynote from RailsConf 2015 on the streetcar, on my way back from work, after a few weeks that have been less comfortable. A few weeks when the feeling that there is a massive "oportunity for improvement" was just starring me in the face, but I was too focused on that one thing I was doing to be . . .
the Rails 4.2+ way
Disclaimer: These "lab notes" were originally written for and published on Engine Yard's blog back in April.
While putting them together, Noah Slater's patient feedback changed the tone and the flow of this article significantly for the better.
Having said that, let's dig in!
Say you're building an app . . .
Bring your beginner mind
Heard of Clojure? Wanted to, or tried it out already? Eager to better understand its idiomatic ways?
The plan is to meet up every Saturday afternoon at the Shopify office and dive into Clojure with open, . . .
Soul-searching in the previous two years
When spending 4500 hours surrounded by advocate marketing experts, you learn a lot. Mastery, you ask? That number of hours is far from enough for one (like me) to achieve mastery, but you sure get to learn a lot about real advocacy, about marketing and about so much more.
The other day I was on GlassDoor. And was looking, almost comparing . . .
Posted in: influitive
Make selection obvious
As part of today's Mobile AV Club, we watched Mike Stern's Designing Intuitive User Experiences talk at WWDC 2014
In his talk, Mike presents five fundamental ideas, he calls the Top 5 Characteristics of Intuitive Apps:
- Platform Savvy
- Mike talks about the importance and the strength of using specific idioms, platform-specific . . .
Native R code in your favourite notebook
Looking for an iPython Notebook equivalent for r: amazed by knitr so far
That was me about 3 weeks ago. iPython and not IPython, r and not R. As you can tell, ignorant wannabe. By that time, I had discovered the
rmagic extension—contains some magic functions for working with R via
rpy2—but there was this strong feeling that . . .
the Unix command-line is not dead for Data Science
Jeroen Janssens's webcast on Data Science at the Command Line proved to be a mix between a good proof that the Unix command-line is not dead for Data Science and a more that two hours hands-on marathon. What made this webcast even more unique was the hands-on element (that more speakers could take example form). . . .