2019#12 Readings of the week
3 minutes read | 448 words by Ruben BerenguelBig data and data engineering, metallurgy, Rust (not the metallurgy-related rust). Expect a similar wide range in the future as well. You can check all my weekly readings by checking the tag here . You can also get these as a weekly newsletter by subscribing here.
Photo by Zsolt Palatinus on Unsplash
Testing Incrementally with ZIO Environment
I’ve been reading a lot about ZIO lately, even to the point of writing a few simple thinks with the help of a more advanced Scala friend. As I’ve mentioned before, it looks solid
Medieval Africans Had a Unique Process for Purifying Gold With Glass
No plans on smelting anything soon, but this was interesting.
Rust Runtime
The proposed approaches for async-await in Rust are shaping up.
Moving from Ruby to Rust (at Deliveroo)
It should surprise no-one, except maybe hardcore rubyists that moving from Ruby to Rust yielded terrific speed-ups. Something similar should happen in Python, though.
Zero-cost futures in Rust
One of the core tenets of Rust is having zero-cost abstractions (as in, being as close to manually written). Here you can read how futures fit that goal.
A quick look at trait objects in Rust
Traits will be familiar to Scala or even Go or Java developers, but there are a few gotchas/differences you need to be aware.
Druid Design
A friend of mine has used Apache Druid before, and has been really happy with its performance, so I’ve been looking into possible use cases to road-test it.
Make your own GeoIP API (in Python)
I’ve linked before to GeoIP approaches, this one is interesting as long as you only want country-level resolution, I usually need city or better.
An in-depth look at the HBase architecture
Similarly to Druid, I’ve been checking several things to speed up some areas. Apache HBase might be one of them, and I wanted to see how it works under the hood, I love these details
🎥 ZIO Schedule
As mentioned above, ZIO is shaping up nicely, and the scheduling helpers presented here are one of the selling points, depending on what you do.
🎥 Pure functional programming in Excel
Duh… but… to be fair… there is a point in here.
🎥 Gradual typing of production applications
Incremental approach suggestions for typing in Python, at Facebook (Instagram to be precise)
🎥 Effects as Data
Everything here should sound familiar if you are anything into functional programming
Newsletter?
These weekly posts are also available as a newsletter. These days (since RSS went into limbo) most of my regular information comes from several newsletters I’m subscribed to, instead of me going directly to a blog. If this is also your case, subscribe by clicking here.