WWDC 2021 is on this week and many new fun things are being introduced, including some data science-friendly additions to the frameworks that come with Xcode 13 and available on macOS 12+ (and its *OS cousins). Specifically, Apple has made tabular data a first-class citizen with the new TabularData app service. A future post will… Continue reading
Post Category → Swift
A {swiftr} Brief Interlude While Awaiting {cdcfluview} CRAN Checks
My {cdcfluview} package started tossing erros on CRAN just over a week ago when the CDC added an extra parameter to one of the hidden API endpoints that the package wraps. After a fairly hectic set of days since said NOTE came, I had time this morning to poke at a fix. There are alot… Continue reading
A Small macOS (Big Sur+) App to Extract Indicators of Compromise
There’s a semi-infrequent-but-frequent-enough-to-be-annoying manual task at $DAYJOB that involves extracting a particular set of strings (identifiable by a fairly benign set of regular expressions) from various interactive text sources (so, not static documents or documents easily scrape-able). Rather than hack something onto Sublime Text or VS Code I made a small macOS app in SwiftUI… Continue reading
Making macOS Universal Apps in Swift with Universal Golang Static Libraries
There are a plethora of amazingly useful Golang libraries, and it has been possible for quite some time to use Go libraries with Swift. The advent of the release of the new Apple Silicon/M1/arm64 architecture for macOS created the need for a new round of “fat”/”universal” binaries and libraries to bridge the gap between legacy… Continue reading
Avoiding The mdls Command Line Round Trip With swiftr::swift_function()
The last post showed how to work with the macOS mdls command line XML output, but with {swiftr} we can avoid the command line round trip by bridging the low-level Spotlight API (which mdls uses) directly in R via Swift. If you’ve already played with {swiftr} before but were somewhat annoyed at various boilerplate elements… Continue reading
Help Your Mac Stand Between The Darkness And The Light with GreyWatch
Greynoise helps security teams focus on potential threats by reducing the noise from logs, alerts, and SIEMs. They constantly watch for badly behaving internet hosts, keep track of the benign ones, and use this research to classify IP addresses. Teams can use these classifications to only focus on things that (potentially) matter. They also have… Continue reading
Making It Easier To Experiment With Compiled Swift Code In R
The past two posts have (lightly) introduced how to use compiled Swift code in R, but they’ve involved a bunch of “scary” command line machinations and incantations. One feature of {Rcpp} I’ve always 💙 is the cppFunction() (“r-lib” zealots have a similar cpp11::cpp_function()) which lets one experiment with C[++] code in R with as little… Continue reading
Calling [Compiled] Swift from R: Part 2
The previous post introduced the topic of how to compile Swift code for use in R using a useless, toy example. This one goes a bit further and makes a case for why one might want to do this by showing how to use one of Apple’s machine learning libraries, specifically the Natural Language one,… Continue reading