Monthly Archives: January 2017

Episode 128 – I’m So Wasted

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This week we follow up on replacements to Fabric and iAd, as well as ColorSync Manager and CarPlay & Android Auto delays in auto manufacturing. We also touch on Find My Air Pods and Apple Pay. We delve into the upcoming ability to respond to reviews and the SKStoreReviewController. We examine the case for deprecating UITableView replacing it with UICollectionView. Picks: Realm Word Tour, Limited Edition Super Bowl Tostitos, Apple UI Design Resources, using vector graphics in apps, 33 iOS open source libraries that will dominate 2017.

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Episode 127 – Empty Jay Sea and the Holy Grail

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This week Tammy Coron, Jaime Lopez Jr and Tim Mitra follow up on What the iPhone Means to Me as well as Consumer Reports turnaround on recommending the new MacBook Pro. We also follow up on rumors of Apple taking of Netflix and Spotify by creating it’s own content. We discuss Google’s acquisition of the Fabric set of tools. We delve into the world of digital color discussing Instagram’s adoption of Wide Color. We also examine Ash Furrow’s post on Naming Things in Swift. Our Picks this week are; Affinity Designer, Universal Principles of Design, The History of Paper Money and Zepelin.

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Episode 126 – What the iPhone Means to Me

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This week we are joined by Tammy Coron and Greg Heo. We follow up on Learning to Learn, a MacBook Pro saving a life, where Apple products are made and the math behind a 5-star rating. This week marked the 10 year anniversary of the iPhone announcement by Apple. So we asked listeners and friends to tell us what the iPhone has meant to them. We hear from Kim Ahlberg, Justin Stanley, Aaron Douglas, Peter Cook, George Stroumboulopoulos, Jaime Lopez Jr and Rich Turton. We talk about Phil Schiller’s press tour on the iPhone early history as well as some recent turnaround in iPhone sales and market growth. We speculate Chris Lattner’s move to Tesla. Cloud storage is mentioned. Picks: Kaleidoscope, Hyperdrive USB Hub

Mark’s Notes:

// For x 5 stars, and 1 1 star, the average is:
Ave = (5x + 1) / (x + 1)
// Solve for x to get the number of 5 stars needed to achieve this Ave with 1 star:
5x + 1 = (Ave)x + Ave
(5 - Ave)x = Ave - 1
x = (Ave - 1) / (5 - Ave)
// So to get Ave = 4.75, with 1 1-star, you need:
x = 15  5 stars
// And to get Ave = 4.5, you need:
x = 7  5 stars

Greg’s Version:

// Say you have one 5-star and one 1-star. What’s the average?
(1 + 5) ÷ 2 = 3 stars! // How horrible!
// Then you get another 5-star review. Your new average:
(1 + 5 + 5) ÷ 3 = 3.7 stars. // Getting better.
/* So you could just keep adding another 5 and increasing the number after the ÷ until you hit 4.5.
As Mark says, 7 5-star reviews is the magic number to get back up to four and a half: */
(1 + 5 + 5 + 5 + 5 + 5 + 5 + 5) ÷ 8 = 4.5

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Episode 125 – Instant Gratification

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We start off the show following up on the 2016 MacBook Pros and Consumer Reports poor rating due to battery issues. Tim gives his initial hands on impressions. We discuss theft-proofing the AirPod cases. We cover Core Data code generation in Xcode 8.2. Where iPhones are manufactured and assembled is discussed in the light of pressure by India on Apple. Picks: OSStatus.com, Swift Style – An Opinionated Guide to an Opinionated Language, How To Prevent Memory Leaks In Swift Closures and Neural Networks for Machine Learning.

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