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Mobile development blogs, tutorials and resources inside!Latest Mobile Dev Insights: iOS, Android, Cross-PlatformAdvertise with Us|Sign Up to the NewsletterMobilePro #199: iOS 26.2 Beta 3, Temporal Swift SDK, new Flutter release, What’s new in .NET MAUI, and more…Hi ,Welcome to another week of MobilePro; this is edition no. 199.The Swift team has just dropped the Temporal Swift SDK, which is worth your attention if you’ve had to build a workflow that lives for hours, days or even longer. Instead of wiring up custom retry logic, state machines, and “what if this crashes at 3 a.m.?” safeguards, you can now write your workflow logic in plain Swift using async/await while Temporal handles the heavy lifting behind the scenes. This implies cleaner code, less boilerplate, and a far more reliable backbone for anything your mobile app depends on.Remember though that it’s early days. While the Temporal Swift SDK handles the big problems (failures, retries, and long-runs), it will also introduce new patterns (deterministic workflows, activity retries, and worker setup) that you’ll have to learn. However, if you’re already writing Swift services, this might be the right time to ask, “Do we build this orchestration in a separate system… or just do it in Swift?”That’s not all the news this week. Let’s dive in.📱 Google allows “experienced users” to keep sideloading apps, adding a safer advanced flow while easing back on strict developer verification rules.🍏 iOS & iPadOS 26.2 Beta 3 adds HealthKit hypertension alerts, new App Store APIs, and key fixes, while noting issues with AirDrop and TLS changes.🔥 Firebase Apple SDK 12.6.0 ships with Server Prompt Template support and Remote Config fixes, improving reliability for iOS developers.🦋 Flutter 3.38 arrives with cleaner Dart syntax, better web tooling, and stronger platform integration, enhancing speed, UI capabilities, and developer experience.🌐 .NET MAUI for .NET 10 boosts quality with new telemetry, improved controls, and platform upgrades, streamlining diagnostics, animations, and cross-device development.Stick around for this week’sDeveloper Tip to learn about that one Swift mistake you should avoidandtheDid You Know? section to know how Snapchat open sources cross-platform UI framework.AI-Powered Development with Cursor WorkshopAccelerate your coding workflow and ship apps faster with Cursor, Supabase, and OpenAI.Book Your Spot!📅 Nov 29, 2025 | 8:30 AM – 12:30 PM (ET) | 💻 Virtual🎟️ 40% OFF with code CURSOR40 + 2 FREE e-booksAfter Purchase, Fill This Form to Claim Your FREE E-books!📱 What's Happening in Mobile Development?If there’s any major news in the world of mobile app dev in the last week, MobilePro has you covered.iOSiOS & iPadOS 26.2 Beta 3 Release Notes: iOS & iPadOS 26.2 Beta 3 introduces new features like Hypertension notifications in HealthKit and the AppStore age rating API, while fixing issues in Instruments and StoreKit. Known issues include discoverability problems with AirDrop and TLS fingerprint changes that may affect server communications.Firebase Apple SDK Release Notes: Firebase released version 12.6.0, adding support for Server Prompt Templates in Firebase AI Logic and fixing bugs in Remote Config, including issues with device restore and data race conditions.AndroidGoogle will let ‘experienced users’ keep sideloading Android apps: As Google scales back its plan for mandatory developer verification by introducing a 2026 “experienced-user” path for safely sideloading unverified apps, the community welcomes the restored freedom but remains wary, seeing the new safeguards as a necessary protection for vulnerable users yet also fearing creeping control, mixed motives, and potential erosion of Android’s openness.November Pixel Drop is here, bringing upgraded notifications, better scam detection, and more: The November Pixel Drop introduces new features like notification summaries, scam detection, and themed packs, starting with Pixel 6 and newer. It also expands tools like Call Notes, device health, and accessibility features across various Pixel models, enhancing security, customization, and user experience.What’s new in Android’s November 2025 Google System Updates: The November 2025 Android system update introduces improvements across Google services, including bug fixes, enhanced developer tools, and new features for Wallet, Play Store, and system management. It also expands functionality for devices like Wear OS, Android TV, Auto, and PC, focusing on security, stability, and user convenience.Raising the bar on battery performance: excessive partial wake locks metric is now out of beta: With Google Android now making excessive partial wake-lock metrics broadly available to push developers toward more power-efficient apps, users, who are increasingly frustrated by battery drain and unreliable notifications caused by poorly optimized apps, hope this transparency will finally drive meaningful improvements in app behavior and overall device experience.Android’s next trick could let you tap phones together to share info, just like iPhones: Android may soon introduce a tap-to-share feature similar to iPhone’s NameDrop, allowing users to exchange contact info quickly by tapping phones together or using a sharing gesture. Discovered in Google Play Services code, this new system aims to make contact sharing faster, more private, and seamless, potentially improving social and professional exchanges. It’s still in development, but could significantly enhance Android’s sharing capabilities once released.Cross-platform & OtherSkip Fuse is now free for Indie Developers: Skip Fuse is now free for Indie developers, allowing them to build cross-platform apps using native SwiftUI for iOS and Jetpack Compose for Android with high performance and native UI. The mode compiles Swift directly to Android, enabling shared logic and UI without translation overhead. This makes it an ideal tool for indie developers to create seamless, native apps for both platforms.Flutter 3.38 is out: Flutter 3.38 introduces new features like dot shorthands for more concise Dart code, improved web support with configuration and hot reload enhancements, and advanced UI controls. The release also boosts desktop and mobile platform integration, refines DevTools, and includes important updates for accessibility, performance, and compatibility, making development faster and more efficient.What's new in .NET MAUI for .NET 10: .NET MAUI in .NET 10 focuses on enhancing product quality with new features like the .NET Aspire integration for telemetry and service discovery, improved control and animation APIs, and advanced support for web, Android, and iOS platforms. It also introduces a streamlined XAML namespace experience, better diagnostics, and numerous control and performance improvements for a more robust cross-platform development experience.If you’re writing Swift code, check out this sharp insight by Paul Hudson at Hacking With Swift. It shows how overlooking value vs. reference types (especially with struct vs class) can lead to subtle bugs and performance issues, even in everyday mobile app code. Especially relevant for SwiftUI or data-model workflows where mutation semantics matter.In case you have any tips to share with your fellow mobile developers, do reply to this mail and we’d be glad to feature you in a future edition of MobilePro.💭 What is the Mobile Community Talking About?What are mobile app developers discussing? Do you have any concerns, advice, or tutorials to share?MobileProbrings them to you all in one place.A deep dive into Collections, Sequences, and Iterators in Swift: This deep-dive breaks down how Swift’s iteration system really works—from Sequence and Collection to async iteration—giving iOS developers a clearer picture of what happens behind every for…in loop. It highlights practical insights for building performant, predictable data flows in mobile apps, and warns about common pitfalls like mutating during iteration.From Swift to Mojo: Lessons in Language Design and High-Performance Engineering: This interview with Chris Lattner, creator of Swift and Mojo, explores how modern programming languages and compilers are evolving to meet the needs of high-performance systems and AI-driven workloads. It highlights the design principles behind Swift, the motivations for creating Mojo, and why language tooling and compiler efficiency remain essential for building fast, scalable software across mobile and emerging compute platforms.Google Summer of Code 2025 and Kotlin: Kotlin’s participation in GSoC 2025 delivered several valuable open-source improvements, including upgrades to build tooling, better Kotlin Multiplatform support, and work on modern developer tooling like language-server enhancements. These projects strengthen the ecosystem for Android and cross-platform developers, with many contributions already making their way into real-world workflows.Compose Stability Analyzer for Jetpack Compose: A new open-source tool provides real-time insights into the stability and recomposition behavior of your Jetpack Compose UI functions directly from within Android Studio or IntelliJ, helping Android developers spot potentially costly UI updates and understand why certain composables are flagged as unstable.📚️ Latest in Mobile Development from PacktMobilePro presents the latest titles from Packt that ought to be useful for mobile developers.A perfect book for aspiring UX/UI designers who want to get started with Figma as well as established designers who want to migrate to Figma from other design tools.✨ Third edition of the bestselling book, updated with a new project, refreshed interface, and the latest design trends🧩 Build adaptive, production-ready UIs using variables, modes, components, variants, AI, and Auto Layout🔀 Prototype advanced user flows with conditional interactions and interactive componentsDesigning and Prototyping Interfaces with FigmaPre-order now at $47.49! Snapchat has open-sourced Valdi, the cross-platform UI framework it has relied on internally for nearly a decade. Built in TypeScript and compiled directly to native iOS, Android, and macOS views, Valdi skips web views and JS bridges entirely, the same approach Snapchat uses to keep its UI fast and responsive at massive scale.Sourced from The New Stack.👋 And that’s a wrap. We hope you enjoyed this edition of MobilePro. If you have any suggestions and feedback, or would just like to say hi to us, please write to us. Just respond to this email!Cheers,Runcil Rebello,Editor-in-Chief, MobilePro*{box-sizing:border-box}body{margin:0;padding:0}a[x-apple-data-detectors]{color:inherit!important;text-decoration:inherit!important}#MessageViewBody a{color:inherit;text-decoration:none}p{line-height:inherit}.desktop_hide,.desktop_hide table{mso-hide:all;display:none;max-height:0;overflow:hidden}.image_block img+div{display:none}sub,sup{font-size:75%;line-height:0}#converted-body .list_block ol,#converted-body .list_block ul,.body [class~=x_list_block] ol,.body [class~=x_list_block] ul,u+.body .list_block ol,u+.body .list_block ul{padding-left:20px} @media (max-width: 100%;display:block}.mobile_hide{min-height:0;max-height:0;max-width: 100%;overflow:hidden;font-size:0}.desktop_hide,.desktop_hide table{display:table!important;max-height:none!important}}

Python insights plus a chance to build real trading strategies.Subscribe|Submit a tip|Advertise with Us🧩Welcome to DataPro 158This week we are bringing something new to our readers. We have launched live AMA sessions with industry experts on the Packt DataML YouTube channel, hosted by our Growth Lead Abhishek Kaushik. These sessions give you direct access to practical guidance, career clarity, and real world insights from voices shaping the future of Python, AI, and data science. In this edition, we highlight takeaways from our latest conversation with Juan Gabriel Salas, one of Udemy’s highest rated Python and data science instructors. Juan shared actionable advice on learning Python with purpose, bridging the gap between syntax and real workflows, developing strong data intuition, and building portfolios that employers care about. You’ll find the recap below.Knowledge Partner Spotlight: OutskillAt Packt, we’ve partnered withOutskillto help readers gain practical exposure to AI tools through free workshops, complementing the deeper, hands-on, expert-led experiences offered throughPackt Virtual Conferences.Become an AI Genius in One WeekendAs part of their Black Friday offer, Outskill is opening access to their 2 day LIVE AI Mastermind for free. This 16 hour intensive program covers AI tools, automations, and agent building, and is rated 9.8 on Trustpilot. It is usually priced at $395, but DataPro readers can join at no cost while seats last. The live sessions run Saturday and Sunday from 10 AM EST to 7 PM EST.Save your spot now, limited seats available.💡 Workshop Spotlight: Algorithmic Trading with Python (Cohort 2)Join Jason Strimpel for a hands-on workshop on December 12, where you’ll design, test, and deploy algorithmic trading strategies in Python using pandas, VectorBT, and the Interactive Brokers API. Whether you’re a quant-in-training or a finance pro, this live session takes you through the entire workflow, from identifying trading edges to executing real-world strategies.Pick a Full Pass or VIP Pass, use EARLY20 for 20% off, and reserve your seat.Register Now and Save With the Early Bird OfferCheers,Merlyn ShelleyGrowth Lead, PacktMastering Python and Data Science: Insights From a Live AMA WithJuan Gabriel SalasWith an aim to improve the reader experience, we are rolling out a new AMA series in partnership with our Expert Network to bring firsthand insights directly from industry leaders in the data world.Abhishek, our Growth Lead for the data science vertical, is hosting these live AMA sessions on thePackt DataML YouTube channelto help learners gain clarity, confidence, and direction in their data journey.This week’s session featuresJuan Gabriel Salas, a top rated Udemy instructor and founder of Frogames Formación. Juan is known for his practical teaching style, clear explanations, and deep experience helping thousands of learners master Python and build data science careers. Over the course of an hour, he shared a wide range of actionable insights on how to learn Python effectively, build strong intuition, create impactful portfolios, and navigate the fast evolving world of data science and machine learning.This article brings together all those insights in a single narrative so that every data learner can benefit from the clarity and wisdom that came out of the session.The Big Themes of the SessionPython fundamentals. Data workflows. Portfolio strategy. Math intuition. Future skills. And everything in between.To make this recap easier to navigate, we have organized the insights into six major themes that emerged during the AMA.1. Where Should Beginners Start: Python or Data Science?The conversation kicked off with a classic dilemma. Should learners start with Python basics or jump straight into data science?Juan’s advice was simple and rooted in experience.Start with Python, but not in a way that traps you in endless syntax drills. Instead, learn Python with a purpose. Focus on the parts of the language that matter for data work.You do not need to become a software engineer before becoming a data practitioner. But you do need enough fluency to manipulate data, write reusable code, and understand how your tools work behind the scenes.Python is not just another skill. It is the language that holds your entire workflow together.What matters most at the start:Knowing how to work with lists and dictionariesReading and writing filesUnderstanding functions and basic logicGetting comfortable with problem solvingOnce these fundamentals feel natural, transitioning into data science becomes far more enjoyable.2. Closing the Gap Between Syntax and Real Data Science WorkMany learners understand Python basics but freeze when facing a blank project. They know what a loop is but not how to apply one in a data pipeline. They understand lists but not how to use them in a transformation.Juan explained that this is not a lack of skill. It is a mindset shift that has not yet fully developed.Data science is less about writing isolated lines of code and more about seeing the bigger picture. It requires thinking insystems and workflowsrather than steps.You move from:“How do I write this line of code?”to“How do I design a process that answers this question?”You start seeing your work as a sequence of stages:Load. Clean. Explore. Transform. Model. Evaluate. Communicate.This shift is what turns a coder into a data practitioner.3. How to Approach a Real Data Science ProblemOne of the most valuable parts of the AMA was Juan’s breakdown of what to do when facing a new data science project from scratch. Instead of jumping into libraries or algorithms, he recommended focusing on three checkpoints that define successful work.Checkpoint 1: Understand Data QualityBefore choosing a model or writing transformations, you must examine the data. Learn to recognise missing values, duplicated rows, strange outliers, or mislabeled categories. This is where the bulk of practical skill is formed.Checkpoint 2: Choose the Right Modeling ApproachIs this a classification problem? A regression? A time series forecast? A clustering experiment?Knowing what problem you are solving is more important than the model itself.Checkpoint 3: Define Evaluation Metrics EarlyAccuracy is not always the right metric. Sometimes you need precision, recall, AUC, F1, RMSE, or business specific KPIs.Thinking about metrics early forces clarity.Together, these checkpoints create a stable foundation for any analysis.4. How Tiny Python Mistakes Can Break Entire ML WorkflowsJuan shared a humorous yet painful story about how a single indexing mistake caused inconsistencies across an entire machine learning pipeline. The model trained successfully. The predictions looked plausible. But the results made no sense.The culprit was a tiny transform that shifted rows.This resonated deeply with the audience because it illustrates a truth that every data practitioner eventually learns.Machine learning magnifies small mistakes.One misaligned array. One swapped column. One incorrect filter. One wrong assumption during data cleaning.This is why debugging is one of the most underrated data science skills. Being patient, methodical, and curious makes you far more effective than knowing every library function.5. What Makes a Portfolio Stand Out to EmployersPerhaps the most practical part of the AMA was Juan’s guidance on portfolio building. Many learners build beautiful notebooks that fail to impress employers simply because they focus on the wrong things.Juan broke down the three elements that make a portfolio truly meaningful.1. Use Real World DataAvoid overused toy datasets. Instead, explore domains you care about. Scrape data. Gather logs. Use messy CSVs. These reveal how you work, not how well you follow tutorials.2. Show Your ThinkingEmployers want to know why you chose an approach, what decisions you made, and how you debugged problems. Narrative clarity matters just as much as code.3. Focus on Depth, Not QuantityFive shallow projects will not beat two strong, thoughtful, well documented projects with clear reasoning and solid results.A strong portfolio is a story, not a showcase.👉 Continue reading the full article on the Packt Medium handle.See you next time!*{box-sizing:border-box}body{margin:0;padding:0}a[x-apple-data-detectors]{color:inherit!important;text-decoration:inherit!important}#MessageViewBody a{color:inherit;text-decoration:none}p{line-height:inherit}.desktop_hide,.desktop_hide table{mso-hide:all;display:none;max-height:0;overflow:hidden}.image_block img+div{display:none}sub,sup{font-size:75%;line-height:0} @media (max-width: 100%;display:block}.mobile_hide{min-height:0;max-height:0;max-width: 100%;overflow:hidden;font-size:0}.desktop_hide,.desktop_hide table{display:table!important;max-height:none!important}}