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A Newbie’s Information on Core iOS Instruments


Within the ever-evolving world of cellular know-how, the demand for partaking and modern iOS purposes continues to develop. For those who’re wanting to dive into iOS growth, now’s the proper time to harness the ability of Swift and SwiftUI, Apple’s cutting-edge instruments for constructing outstanding apps. On this article, we are going to information you step-by-step by the creation of your first iOS utility, showcasing the capabilities of Swift and SwiftUI alongside the way in which.

What Are Swift and SwiftUI?

On the coronary heart of our iOS growth journey lies Swift, Apple’s modern and highly effective programming language. Designed from the bottom as much as be protected, quick, and expressive, Swift has shortly grow to be the language of alternative for constructing apps for Apple’s platforms.

Swift’s clear syntax, strong sort system, and superior language options make it an distinctive alternative for creating high-performance, dependable, and maintainable purposes. By leveraging Swift’s strengths, you’ll be able to write code that’s not solely environment friendly but in addition a pleasure to work with.

Complementing Swift is SwiftUI, Apple’s declarative UI framework that simplifies the method of designing and constructing consumer interfaces for iOS, iPadOS, and different Apple gadgets. Not like the normal crucial strategy, the place you describe how the UI needs to be constructed, SwiftUI permits you to declaratively outline what the UI ought to appear like, making it simpler to create responsive and visually interesting interfaces.

The important thing distinction between Swift and SwiftUI is that Swift is a general-purpose programming language used for the underlying logic and performance of your iOS app, whereas SwiftUI is a declarative UI framework that lets you create the visible components and consumer interactions.

By combining the ability of Swift and the comfort of SwiftUI, you’ll have the ability to construct complete iOS purposes that not solely look nice but in addition perform seamlessly. SwiftUI’s declarative strategy, coupled with Swift’s efficiency and expressiveness, will empower you to create intuitive, responsive, and visually hanging consumer experiences as you proceed your iOS growth journey.

What’s Xcode?

Xcode is the important device that lets you design, code, take a look at, and submit your purposes for the App Retailer. It’s Apple’s built-in growth atmosphere (IDE) and is essential for the event course of.

Xcode gives a complete suite of options and capabilities tailor-made particularly for constructing apps for Apple platforms, together with iPhone, iPad, Mac, Apple Watch, and Apple TV. From the intuitive consumer interface to the highly effective debugging instruments, Xcode streamlines the whole growth workflow, permitting you to deal with bringing your artistic concepts to life.

Xcode is obtainable for macOS, and is definitely installable by way of the App Retailer. You’ll want to put in it to comply with this text.

Constructing a Rotating Membership Card App

For this iOS app, we’ll create a charming animation that includes a rotating membership card-style rectangle with curved edges and a gradient background. This undertaking will introduce you to the core ideas of SwiftUI and display the right way to carry dynamic visible results to life.

To start, be sure you have the newest model of Xcode put in in your Mac. You possibly can obtain it right here, https://developer.apple.com/xcode/.

Setting Up the Undertaking

  1. Open Xcode and select “Create New Undertaking…” from the welcome display screen.
  2. Choose “iOS” because the platform and “App” because the template, then click on “Subsequent.”
  3. Enter any identify you want however on this case “Membership Card” additionally works. You don’t have to fret about including a crew account. The group identifier will be your identify for this demo.
  4. Choose SwiftUI for the interface and Swift for the language, then click on “Subsequent.”
  5. Select a location to avoid wasting your undertaking and click on “Create.”

Designing the Person Interface with SwiftUI

In SwiftUI, you outline your consumer interface declaratively by describing what your app ought to appear like, somewhat than imperatively describing the right way to construct it. Let’s begin by creating the rotating membership card-style rectangle.

  1. Within the Undertaking Navigator, open the “ContentView.swift” file.
  2. Exchange the prevailing code with the next:

 

import SwiftUI

struct ContentView: View {
  @State personal var rotation: Angle = Angle(levels: 0.0)
  @State personal var isAnimating = false

  var physique: some View {
    VStack {
      // Title textual content with formatting
      Textual content("Membership Card")
        .font(.system(measurement: 24, weight: .daring))
        .foregroundColor(Colour.white)
        .body(maxWidth: .infinity)
        .padding(.high, 20)

      Spacer()
      // Stacked container for card
      ZStack {
        RoundedRectangle(cornerRadius: 16)
          .fill(
            // Create gradient fill with two colours
            LinearGradient(
              gradient: Gradient(colours: [
                Color(#colorLiteral(
                  red: 0.5568627715, 
                  green: 0.3529411852, 
                  blue: 0.9686274529, 
                  alpha: 1)), 
                Color(#colorLiteral(
                  red: 0.2392156869, 
                  green: 0.6745098233, 
                  blue: 0.9686274529, 
                  alpha: 1))
              ]),
              startPoint: .topLeading,
              endPoint: .bottomTrailing
            )
          )
          .body(width: 300, top: 180) // Set card measurement
          .rotation3DEffect(rotation, axis: (x: 0, y: 1, z: 0))
        .onAppear {
          // Animate rotation 
          withAnimation(.easeInOut(length: 1.0)) {
            rotation = Angle(levels: 360.0)
            isAnimating = true // Set animation performed flag
          }
        }
      }

      Spacer() // Add some empty area
      // Horizontal stack for slider 
      HStack {
        Spacer() // Add area earlier than slider
        Slider(worth: $rotation.levels, in: 0...360)
          .padding() // Add padding round slider
      }
    }
    .background(Colour.mint) // Set background shade to mint inexperienced
  }
}

struct ContentView_Previews: PreviewProvider {
  static var previews: some View {
    ContentView()
  }
}

Setting Up the Fundamentals:

The code begins by importing SwiftUI. Then, it defines a brand new space named ContentView that may characterize the membership card on the display screen.

Holding Monitor of Issues (State Variables):

The code makes use of particular variables often called @State to recollect sure issues in regards to the membership card. One variable, named rotation, retains observe of what number of levels the cardboard is at the moment rotated (initially set to 0 levels). One other variable, named isAnimating, remembers whether or not the animation has already performed (initially set to false).

Constructing the Membership Card View:

The principle a part of the code describes what the consumer will see on the display screen. It makes use of a vertical stack known as VStack to rearrange the weather one on high of one other. On the high, there’s a textual content ingredient displaying “Membership Card” in a daring white font. Beneath the textual content, there’s a spacer ingredient that acts like a clean area to create some respiratory room between components.

Probably the most attention-grabbing half is the membership card itself. The code creates an oblong form with rounded corners utilizing RoundedRectangle. This rectangle is stuffed with an attractive gradient that easily transitions from a light-weight blue to a darker blue utilizing  LinearGradient. The code additionally positions the rectangle on the display screen with a selected width and top known as  body and permits it to rotate in 3D area utilizing  rotation3DEffect.

Animation Time!

When the display screen seems for the primary time, the code performs a neat trick. It makes use of a particular code block triggered by the onAppear occasion. This block ensures the animation solely runs as soon as upon preliminary view look. Inside this block, the code easily rotates the cardboard a full 360 levels over one second utilizing an animation with an easeInOut timing curve (begins gradual, quickens, then slows all the way down to cease).

Taking Management (Slider):

Whereas the cardboard animates by itself, you may also play with its rotation utilizing a slider ingredient positioned on the backside. This slider is created utilizing the Slider ingredient, and it permits you to alter the cardboard’s rotation to any angle between 0 and 360 levels. The worth of the slider is immediately linked to the rotation variable utilizing two-way binding ($rotation.levels), so transferring the slider will change the cardboard’s rotation on the display screen.

Ending Touches:

The code defines a mint inexperienced shade for the background behind the membership card, creating a nice distinction.

Operating the App

To see your app in motion click on the “Play” button (the triangle icon) within the top-left nook of Xcode to construct and run your app.

Xcode will compile your code, set up the app on the simulator, and launch it. It is best to see the rotating credit score card-style rectangle in motion, with the consumer in a position to management the rotation utilizing the slider.

Congratulations! You’ve simply created your first iOS app utilizing Swift and SwiftUI. This easy but partaking animation showcases the ability of Apple’s growth instruments and the creativity you’ll be able to unleash with them.

There must be no scarcity of Extremely telephones in 2025

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Samsung Galaxy S24 Ultra in hand

Robert Triggs / Android Authority

TL;DR

  • A leaker suggests a Xiaomi 15 Extremely might land in January 2025.
  • This may immediately compete with the Galaxy S25 Extremely, which can also be anticipated in the identical month.
  • This implies the “Extremely” telephone isn’t going anyplace subsequent 12 months.

For a couple of years now, the perfect Android telephones have typically had the phrase “Extremely” within the title. For instance, the Samsung Galaxy S24 Extremely ($1419.99 at Amazon) is likely one of the greatest telephones you’ll be able to at present get. There have even been rumors that Apple might rebrand its “Professional Max” iPhone to an “Extremely” this 12 months, which means we might see an iPhone 16 Extremely. We’ll discover out whether or not that’s true or not in September.

In the meantime, leaker Yogesh Brar suggests we might see not less than one different “Extremely” telephone quickly: the Xiaomi 15 Extremely. In a submit on X, Brar says this telephone might debut in January 2025 and launch at Cellular World Congress a couple of weeks later.

Yogesh Brar Tweet Xiaomi 15 Ultra Leak

Brar contends the Xiaomi 15 Extremely might include a quad-lens rear digital camera, with a 200MP major sensor after which three different 50MP sensors. Theoretically, this might be an analogous setup to what we noticed on the Xiaomi 14 Extremely, which had one major, one ultrawide, after which two telephoto lenses, with one being static and the opposite being periscope. Notably, the Xiaomi 14 Extremely had a 50MP major lens, which might imply a 200MP substitute could be a major improve and put it neck-and-neck with the anticipated Galaxy S25 Extremely.

Likewise, Brar says the as-yet-unannounced Qualcomm Snapdragon 8 Gen 4 might energy the Xiaomi 15 Extremely. There may be little doubt that this might be the identical processor we discover within the Galaxy S25 Extremely. Nonetheless, if historical past is any indication, Qualcomm and Samsung will accomplice to overclock the processor barely for the Galaxy S25 Extremely — one thing Xiaomi will probably not do.

Talking of the Galaxy S25 Extremely, that telephone can also be anticipated to debut in January or February 2025. This may as soon as once more imply Xiaomi could be competing with Samsung for patrons able to dish out huge bucks for an “Extremely” telephone. We’ll want to attend and see how that pans out for Xiaomi.

Acquired a tip? Discuss to us! Electronic mail our workers at information@androidauthority.com. You possibly can keep nameless or get credit score for the information, it is your selection.

Meta cancels its headset rival to Apple Imaginative and prescient Professional

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Meta Quest Professional


Meta cancels its headset rival to Apple Imaginative and prescient Professional

Meta’s chief know-how officer has all however confirmed reviews that the corporate is abandoning its plan to tackle the Apple Imaginative and prescient Professional with a equally highly effective gadget.

Proper earlier than the announcement of the Apple Imaginative and prescient Professional, Meta “leaked” its four-year plan for digital and combined actuality headsets. A key a part of that plan was the event of what was identified internally as La Jolla, however would maybe have change into identified the world as Apple Imaginative and prescient Professional’s closest rival.

As first noticed by The Data, Meta started growth work in November 2023, however then cancelled the mission round mid-August 2024. Reportedly, the choice was made at a product evaluation assembly attended by Meta CEO Mark Zuckerberg and Chief Expertise Officer Andrew Bosworth, amongst others.

Following the report, Meta’s CTO Andrew Bosworth responded with a message on Threads, though he didn’t immediately acknowledge the publication.

“Simply your commonly scheduled public service announcement: we now have many prototypes in growth always,” he stated. “However we do not deliver all of them to manufacturing.”

“We transfer ahead with some, we cross on others,” he continued. “Selections like this occur on a regular basis, and tales based mostly on chatter about one particular person choice won’t ever give the actual image.”

It is actually true that Meta is continuous to work on completely different headsets. But it surely seems to have dropped its Apple Imaginative and prescient Professional competitor, codenamed La Jolla, and probably due to price points.

There may be the truth that the $3,500 Apple Imaginative and prescient Professional has but to change into a dramatic success. However reportedly Meta was targeted on holding the price of the La Jolla headset underneath $1,000, and it merely was not attainable.

It is believed that La Jolla would have used micro OLED shows, identical to the Apple Imaginative and prescient Professional. Whereas not particularly identified, the price of these alone is prone to have been an element.

Two unspecified sources inside Meta stated that it was attainable that the La Jolla headset may very well be revived. But in addition that know-how developed for it, reminiscent of gaze monitoring, can be utilized in different merchandise.

Meta has not formally introduced the cancellation of the mission, however as demonstrated with the failed Meta Quest Professional, it tends to not.

Automate Amazon Redshift Advisor suggestions with e-mail alerts utilizing an API

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Amazon Redshift is a quick, scalable, safe, and totally managed cloud information warehouse that allows you to analyze your information at scale. Amazon Redshift now permits you to programmatically entry Amazon Redshift Advisor suggestions by way of an API, enabling you to combine suggestions about how you can enhance your provisioned cluster efficiency into your personal functions.

Amazon Redshift Advisor provides suggestions about optimizing your Redshift cluster efficiency and helps you save on working prices. Advisor develops its personalized suggestions by analyzing efficiency and utilization metrics in your cluster and shows suggestions that ought to have a big affect on efficiency and operations. Now, with the power to programmatically entry these suggestions by way of the ListRecommendations API, you can also make suggestions accessible to implement on-demand or robotically by way of your personal inside functions and instruments with out the necessity to entry the Amazon Redshift console.

On this publish, we present you how you can use the ListRecommendations API to arrange e-mail notifications for Advisor suggestions in your Redshift cluster. These suggestions, corresponding to figuring out tables that ought to be vacuumed to kind the info or discovering desk columns which are candidates for compression, might help enhance efficiency and save prices.

How one can entry Redshift Advisor suggestions

To entry Advisor suggestions on the Amazon Redshift console, select Advisor within the navigation pane. You may broaden every advice to see extra particulars, and type and group suggestions.

You too can use the ListRecommendations API to automate receiving the Advisor suggestions and programmatically implement them. The API returns an inventory of really helpful actions that may be parsed and applied. The API and SDKs additionally allow you to arrange workflows to make use of Advisor programmatically for automated optimizations. These automated periodic checks of Advisor utilizing cron scheduling together with implementing the modifications might help you retain Redshift clusters optimized robotically with out handbook intervention.

You too can use the list-recommendations command within the AWS Command Line Interface (AWS CLI) to invoke the Advisor suggestions from the command line and automate the workflow by way of scripts.

Resolution overview

The next diagram illustrates the answer structure.

Automate Amazon Redshift Advisor suggestions with e-mail alerts utilizing an API

The answer workflow consists of the next steps:

  1. An Amazon EventBridge schedule invokes an AWS Lambda operate to retrieve Advisor suggestions.
  2. Advisor generates suggestions which are accessible by way of an API.
  3. Optionally, this resolution shops the suggestions in an Amazon Easy Storage Service (Amazon S3) bucket.
  4. Amazon Easy Notification Service (Amazon SNS) robotically sends notifications to end-users.

Stipulations

To deploy this resolution, it is best to have the next:

Deploy the answer

Full the next steps to deploy the answer:

  1. Select Launch Stack.
    Launch Cloudformation Stack
  1. For Stack title, enter a reputation for the stack, for instance, blog-redshift-advisor-recommendations.
  2. For SnsTopicArn, enter the SNS matter Amazon Useful resource Title (ARN) for receiving the e-mail alerts.
  3. For ClusterIdentifier, enter your Redshift cluster title if you wish to obtain Advisor notifications for a specific cluster. Should you go away it clean, you’ll obtain notifications for all Redshift provisioned clusters in your account.
  4. For S3Bucket, enter the S3 bucket title to retailer the detailed Advisor suggestions in a JSON file. Should you go away it clean, this step will probably be skipped.
  5. For ScheduleExpression, enter the frequency in cron format to obtain Advisor advice alerts. For this publish, we need to obtain alerts each Sunday at 14:00 UTC, so we enter cron(0 14 ? * SUN *).

Be certain to supply the proper cron time expression when deploying the CloudFormation stack to keep away from any failures.

  1. Preserve all choices as default below Configure Stack choices and select Subsequent.
  2. Assessment the settings, choose the acknowledge test field, and create the stack.

If the CloudFormation stack fails for any purpose, consult with Troubleshooting CloudFormation.

After the CloudFormation template is deployed, it can create the next sources:

Workflow particulars

Let’s take a better take a look at the Lambda operate and the entire workflow.

The enter values supplied for SnsTopicArn, ClusterIdentifier, and S3Bucket within the CloudFormation stack creation are set as environmental variables within the Lambda operate. If the ClusterIdentifier parameter is None, then it can invoke the ListRecommendations API to generate Advisor suggestions for all of the clusters throughout the account (similar AWS Area). In any other case, it can move the ClusterIdentifier worth and generate Advisor suggestions just for the given cluster. If the enter parameter S3Bucket is supplied, the answer creates a folder named RedshiftAdvisorRecommendations and generates the Advisor suggestions file in JSON format inside it. If a price for S3Bucket isn’t supplied, this step will probably be skipped.

Subsequent, the operate will summarize suggestions by every provisioned cluster (for all clusters within the account or a single cluster, relying in your settings) based mostly on the affect on efficiency and value as HIGH, MEDIUM, and LOW classes. An SNS notification e-mail will probably be despatched to the subscribers with the summarized suggestions.

SQL instructions are included as a part of the Advisor’s really helpful motion. RecommendedActionType-SQL summarizes the variety of SQL actions that may be utilized utilizing SQL instructions.

If there are not any suggestions accessible for any cluster, the SNS notification e-mail will probably be despatched notifying there are not any Advisor suggestions.

An EventBridge rule is created to invoke the Lambda operate based mostly on the frequency you supplied within the stack parameters. By default, it’s scheduled to run weekly every Sunday at 14:00 UTC.

The next is a screenshot of a pattern SNS notification e-mail.

Clear up

We advocate deleting the CloudFormation stack should you aren’t going to proceed utilizing the answer. This can keep away from incurring any extra prices from the sources created as a part of the answer.

Conclusion

On this publish, we mentioned how Redshift Advisor provides you particular suggestions to enhance the efficiency of and reduce the working prices in your Redshift cluster. We additionally confirmed you how you can programmatically entry these suggestions by way of an API and implement them on-demand or robotically utilizing your personal inside instruments with out accessing the Amazon Redshift console.

By integrating these suggestions into your workflows, you can also make knowledgeable choices and implement finest practices to optimize the efficiency and prices of your Redshift clusters, in the end enhancing the general effectivity and productiveness of your information processing operations.

We encourage you to check out this automated resolution to entry Advisor suggestions programmatically. When you’ve got any suggestions or questions, please go away them within the feedback.


In regards to the authors

Ranjan Burman is an Analytics Specialist Options Architect at AWS. He makes a speciality of Amazon Redshift and helps prospects construct scalable analytical options. He has greater than 16 years of expertise in numerous database and information warehousing applied sciences. He’s keen about automating and fixing buyer issues with cloud options.

Nita Shah is a Senior Analytics Specialist Options Architect at AWS based mostly out of New York. She has been constructing information warehouse options for over 20 years and makes a speciality of Amazon Redshift. She is targeted on serving to prospects design and construct enterprise-scale well-architected analytics and choice help platforms.


Vamsi Bhadriraju
is a Information Architect at AWS. He works intently with enterprise prospects to construct information lakes and analytical functions on the AWS Cloud.

Sumant Nemmani is a Senior Technical Product Supervisor at AWS. He’s centered on serving to prospects of Amazon Redshift profit from options that use machine studying and clever mechanisms to allow the service to self-tune and optimize itself, making certain Redshift stays price-performant as they scale their utilization.

Codecademy with Zoe Bachman – Software program Engineering Each day


Codecademy is an internet platform that provides courses on languages together with Python, Go, JavaScript, C++, and plenty of others.

Josh Goldberg is an impartial full time open supply developer within the TypeScript ecosystem. He works on tasks that assist builders write higher TypeScript extra simply, most notably on typescript-eslint: the tooling that permits ESLint and Prettier to run on TypeScript code. Josh often contributes to open supply tasks within the ecosystem comparable to ESLint and TypeScript. Josh is a Microsoft MVP for developer applied sciences and the creator of the acclaimed Studying TypeScript (O’Reilly), a cherished useful resource for any developer in search of to be taught TypeScript with none prior expertise outdoors of JavaScript. Josh often presents talks and workshops at bootcamps, conferences, and meetups to share information on TypeScript, static evaluation, open supply, and normal frontend and net improvement.

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WorkOS is a contemporary identification platform constructed for B2B SaaS, offering a faster path to land enterprise offers.

It gives versatile APIs for authentication, consumer identification, and sophisticated options like SSO and SCIM provisioning.

It’s a drop-in alternative for Auth0 (auth-zero) and helps as much as 1 million month-to-month lively customers free of charge. Right now, a whole bunch of high-growth scale-ups are already powered by WorkOS, together with ones you in all probability know, like Vercel, Webflow, Perplexity, and Drata.

Not too long ago, WorkOS introduced the acquisition of Warrant, the Fantastic Grained Authorization service. Warrant’s product relies on a groundbreaking authorization system known as Zanzibar, which was initially designed by Google to energy Google Docs and YouTube. This allows quick authorization checks at huge scale whereas sustaining a versatile mannequin that may be tailored to even probably the most advanced use instances.

In case you are presently trying to construct Position-Based mostly Entry Management or different enterprise options like SAML , SCIM, or consumer administration, take a look at workos.com/SED to get began free of charge.

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