try! Swift NYC 2019
2019-09-09..2019-09-10
New York, NY, United States
[try! Swift Tokyo 2016, try! Swift Tokyo 2017, try! Swift NYC 2017, try! Swift Tokyo 2018, try! Swift NYC 2018, try! Swift Tokyo 2019, try! Swift NYC 2019, try! Swift Tokyo 2025]
who it's for
Swift developers, iOS app engineers, server-side Swift engineers, mobile release engineers, machine learning engineers using Swift, compiler and tooling contributors
topics
Combine fundamentals and backpressure; SwiftUI production pitfalls; Server-side Swift with SwiftNIO; AsyncHTTPClient for async I/O; Bitcoin Cash integration in Swift; Swift for TensorFlow to Core ML conversion; ARKit with Core ML workflows; Swift literal handling and SIL output; image decoding and downsampling; release automation with Fastlane; UIColor contrast and accessibility
| title | author | length |
|---|---|---|
| Let’s play with Bitcoin Cash using Swift | Jean-Baptiste Dominguez | 18m |
Shows how to construct a real Bitcoin Cash transaction in Swift using Bitcoin Kit, derive HD keys with BIP39/BIP32/BIP44 (coin path 145) and calculate fees so… | ||
| Getting Started with Combine | Shai Mishali | 27m |
Overview of Combine’s real mechanics: concrete types (Publisher, Subscriber, Subscription, Subjects) and how demand/backpressure works so fast emitters don’t… | ||
| Building the Server-side Swift ecosystem | Ian Partridge | 27m |
SSWG reports six new libraries and concrete wins not slogans a SwiftNIO foundation provides nonblocking HTTP and HTTP/2, a unified logging API plus multiple… | ||
| Swift Design Patterns as Jane Austen Heroes | Truths Universally Acknowledged | 23m |
Compares concrete Swift techniques to Austen heroes: protocols and delegates modeled as Darcy with examples of tableView delegates and protocol extensions… | ||
| A Deeper Deep dive into Swift Literal | Yuki Aki | 27m |
Deep dive that traces Swift literals from source through SIL and LLVM IR snippets into runtime, showing actual compiler output and the GitHub compiler code… | ||
| Parsing natural languages in Swift | Dabby Ndubisi | 24m |
Builds a greedy transition based parser trained entirely in Swift for TensorFlow and converts it for Core ML conversion into an iOS app that visualizes… | ||
| SwiftUI for Production | Lea Marolt Sonnenschein | 26m |
built the RayWenderlich iOS app with SwiftUI and implements a content-filter UI, but shows concrete pitfalls: binding to array elements causes crashes… | ||
| App Subscriptions: The Good, The Bad, and the Ugly | Ishmael Shabazz | 19m |
Crunch numbers and concrete pitfalls: estimates show about $60,000 over 10 years to build and update a small app, ad revenue needs huge volume, and… | ||
| Making Your App Feel at Home in iOS 13 | Dave Verwer | 27m |
iOS 13 actually surfaces concrete UX changes: one Reminders screen contains four different button styles and inconsistent glyph weights, buttons gain… | ||
| The Life of an Image on iOS | Jordan Morgan | 25m |
Explains how images move from file to frame buffer, shows that decoding inflates tiny files into large RAM-backed image buffers (back-of-napkin: 4 bytes per… | ||
| Streamlining Mobile Releases | Eli Budelli | 17m |
Automattic’s mobile org runs 3 apps across iOS Android and desktop with a 53‑person team releasing on a biweekly cadence, and the concrete outcomes matter… | ||
| Extending UIColor to Support Custom Styling | Kelly Hutchison | 24m |
Slides and playground show concrete code that extends UIColor with methods to extract HSB brightness, compute WCAG contrast ratios, and compute the adjusted… | ||
| Designing Accessible APIs | Dave DeLong | 26m |
Two practical rules govern API design: be kind to future self and be kind to users. Use platform types (for example use DataInterval not custom Time), prefer… | ||
| Encoding and Decoding in Swift | Kaitlin Mahar | 28m |
Explains how Swift’s Codable actually works with concrete code: shows the Encoder vs JSONEncoder API mismatch, walks through nested keyed and unkeyed… | ||
| Swift Without Screens: Powering Connected Devices | Marc Aupont | 19m |
Swift runs on a Raspberry Pi to drive a battery robot car called TryBot Model 3 using an L298N motor driver, DC gearbox motors and an HC‑SR04 ultrasonic… | ||
| Deeper into ARKit with CoreML and Turi Create | Soojin Ro | 22m |
An app detects real bills with ARKit image tracking, captures a selfie, runs AVFoundation face detection and Firebase ML Kit contouring, then applies Core ML… | ||
| SwiftUI in 25 Minutes | Paul Hudson | 32m |
Builds a working “Dad Jokes” app from scratch in 25 minutes, showing exact code paths: model to UI, Xcode project setup, Core Data entity and manual class… | ||
| Swift for TensorFlow: machine learning with no boundaries. | Paige Bailey | 24m |
Swift for TensorFlow claims automatic differentiation built into the language, C++ interop with no wrappers, and cross‑platform deployment to Linux, macOS… | ||
| It’s Probably Fine | Cate Huston | 27m |
Claims a concrete framework: four layers: mission, strategy, tactics, execution and actionable heuristics rather than fluffy vision statements. Argues to… | ||
| Body Hacking Using Ayurveda | Bhaswati Bhattacharya | 46m |
Claims practical, testable interventions: sesame oil under feet for grounding, ghee in eyes and cold compresses for dry eyes, ear oil (karna purana) for… | ||
| What Swift devs can learn from C++ | Laura Savino | 23m |
Photoshop on iPad runs the same 31 year old C++ core wrapped in Objective‑C so you see how C++ integrates into a real product, teams tune tight performance by… | ||
| Introduction to AsyncHTTPClient | Tom Doron | 23m |
A cross‑platform HTTP client built on SwiftNIO that targets server workloads and uses event loop sharing to avoid thread explosion. It delivers both fully… | ||
| nothing matches | ||