Run Python scripts in your SwiftUI codebases. Python for long has established itself as the undisputed leader of data science. But as the size of data continues to increase, Python’s shortcomings are getting noticed. Slow speed, limitations in parallelism, and lack of type safety all act as a roadblock in large scale applications.
Python for long has established itself as the undisputed leader of data science. But as the size of data continues to increase, Python’s shortcomings are getting noticed. Slow speed, limitations in parallelism, and lack of type safety all act as a roadblock in large scale applications.
Google is clearly putting its bets on Swift as the future of deep learning. No wonder, they’ve heavily invested in Swift for Tensorflow.
While Python boasts of a huge collection of libraries and shifting away from it won’t be a cakewalk, but still we can leverage its interoperability with Swift.
Yes, you can run python code from swift by using the PythonKit, a framework based on the
Python module from the Swift for TensorFlow project.
It’s important to note that Python is not available on iOS. But you can build pretty awesome utility apps for macOS and Linux.
In the next few sections, we’ll see how to setup PythonKit in a SwiftUI macOS application and perform a few interesting tasks.
To get started create a new Xcode project with macOS as the target and add the following package dependency using Swift Package Manager:
.package(url: "https://github.com/pvieito/PythonKit.git", .branch("master")),
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