Mobile development blogs, tutorials and resources inside!Latest Mobile Dev Insights: iOS, Android, Cross-PlatformAdvertise with Us|Sign Up to the NewsletterMobilePro #181: Launch Your App on a Real iOS Device Like a ProHi ,Welcome to the 181st edition of MobilePro! This week we bring you something different.This edition walks through a pragmatic setup for iOS development, the kind that makes device testing feel less like a hurdle and more like a launchpad. It’s drawn from hands-on workflows and reframed here for the everyday developer looking to get builds onto real devices—quickly, reliably, and without surprises.If you’ve ever hit a wall trying to run your app outside the simulator, this feature that borrows from Ahmad Sahar's iOS 18 for Programming for Beginners is for you.You will learn the following from this article:How to connect your iOS device to Mac?How to enable developer mode?How to set up Xcode for device deployment?How to add a developer account to Xcode?How to trust the developer app certificate?Take the Survey!Know The AuthorAhmad Sahar is a trainer, presenter, and consultant at Tomafuwi Productions, specializing in conducting training courses for macOS and iOS, macOS Support Essentials certification courses, and iOS Development courses. He is a member of the DevCon iOS and MyCocoaHeads online communities in Malaysia and has conducted presentations and talks for both groups. In his spare time, he likes building and programming LEGO Mindstorms robots.📱 How to run your app on an iOS deviceDeveloping apps with Xcode and the iOS Simulator is a great way to get started, but if you want to truly understand how your app behaves in the real world, there’s no substitute for testing it on an actual device. Physical devices offer access to real sensors, hardware features, and network environments that simply can’t be replicated in the Simulator. Whether you’re building your first app or refining a production-ready project, deploying to a real iPhone or iPad helps you catch bugs, optimize performance, and deliver a better experience to your users. In this article, we’ll walk you through the entire process—from connecting your device and setting up Developer Mode to configuring and signing certificates.While Apple's Simulator allows you to run and test your app during development, there's no substitute for using a real device. Some hardware components and software APIs simply can’t be simulated, which is why testing on a physical iOS device is crucial for a complete development experience.NoteTo explore the nuances between running your app on a simulator versus a real device, Apple provides a detailed comparison here.Step 1: Connecting your iOS deviceBefore running your app on a physical iOS device, make sure you have:Your iOS deviceAn Apple ID (a free or paid developer account)A Mac with Xcode installedTo connect your iOS device, follow these steps:Use the cable that came with your iOS device to connect your device to your Mac, and make sure the iOS device is unlocked.Your Mac will display an Allow Accessory to Connect alert. Click Allow.Your iOS device will display a Trust This Computer alert. Tap Trust and key in your device passcode when prompted. Your iOS device is now connected to your Mac and will appear in Xcode's Destination menu.Step 2: Enabling the developer mode (iOS 16+)Developer Mode was introduced by Apple during their Worldwide Developers Conference in 2022 (WWDC 2022) and is required to install, run, and debugyour apps on devices running iOS 16 or greater.To watch a WWDC 2022 video on Developer Mode, click here.Follow these steps to enable Developer mode:Choose Window | Devices and Simulators in the Xcode menu bar. You will see a window displaying a message saying Developer Mode disabled.To enable Developer Mode on your iOS device, go to Settings | Privacy & Security, scroll down to the Developer Mode item, and tap it.Turn the Developer Mode switch on.An alert will appear to warn you that Developer Mode reduces the security of your iOS device. Tap the alert's Restart button.After your iOS device restarts and you unlock it, confirm that you want to enable Developer Mode by tapping Enable and entering your iOS device's passcode.The Devices and Simulators window will display a Preparing iPhone message. Wait a few minutes, then verify that the Devices and Simulators window no longer displays the Developer Mode disabled text.Your iOS device is now ready to install and run apps from Xcode.Step 3: Setting up Xcode for device deploymentTo set up Xcode, follow these steps:In Xcode, choose your iOS device from the Destination menu.Run the project by clicking the Run button (or use Command + R). You will get the following error in Xcode's Signing & Capabilities pane, Signing for "JRNL" requires a development team.This is because a digital certificate is required to run the app on an iOS device, and you need to add a free or paid Apple developer account to Xcode so the digital certificate can be generated.NoteUsing an Apple ID to create a free developer account will allow you to test your app on an iOS device, but it will only be valid for 7 days. Also, you will need a paid Apple developer account to distribute apps on the App Store.Certificates ensure that the only apps that run on your device are the ones you authorize. This helps to protect against malware. You can also learn more about them here.Step 4: Adding a developer account to XcodeHere are the steps to add Developer account to Xcode:Click the Add Account... button.The Xcode Settings window appears with the Accounts pane selected. Enter your Apple ID and click Next.Note that you can create a different Apple ID if you wish using the Create Apple ID button.TipYou can also access the Xcode settings by choosing Settings in the Xcode menu.Enter your password when prompted. After a few minutes, the Accounts pane will display your account settings.Close the Settings window when you're done by clicking the red close button in the top-left corner.In Xcode's Editor area, click Signing & Capabilities. Make sure Automatically manage signing is ticked and Personal Team is selected from the Team pop-up menu.If you still see errors on this screen, try changing your Bundle Identifier by typing some random characters into it, for example, myname6712.JRNL.Build and run your app. If you are prompted for a password, enter your Mac’s login password and click Always Allow.Your app will be installed on your iOS device. However, it will not launch, and you will see the following message:This means you need to trust the certificate that has been installed on your device. You'll learn how to do this in the next section.Step 5: Trusting the developer app certificate on your iOS deviceA Developer App certificate is a special file that gets installed on your iOS device along with your app. Before your app can run, you need to trust it. Follow these steps:On your iOS device, tap Settings | General | VPN & Device Management.Tap your Apple ID:Tap Trust:Tap Allow:Youshould see the followingtext, which shows the app is now trusted:Click the Run button in Xcode to build and run again. You'll see your app launch and run on your iOS device.Success!Your app is now running on an actual iOS device! This milestone brings you one step closer to shipping your app to real users.If you want to read more and turn your app idea into reality, then Ahmad Sahar's iOS 18 Programming for Beginners is for you!🏗️ Experience iOS 18 and Swift 6 through hands-on projects🛠️ Build your first iOS apps, complete with user-friendly interfaces using UIKit💡 Learn best practices from an experienced developer for robust app designiOS 18 Programming for BeginnersBuy now at $44.99!👋 And that’s a wrap. We hope you enjoyed this new format of MobilePro.P.S.: If you have any suggestions or feedback, help us improve by sharing your thoughts. Click on the survey below.Take the Survey!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}}

Dataproc for Apache Spark, AI Dataset Generator, Gamma Spectroscopy in PythonBecome an AI Generalist that makes $100K (in 16 hours)Still don’t use AI to automate your work & make big $$? You’re way behind in the AI race. But worry not:Join the World’s First 16-Hour LIVE AI Upskilling Sprint for professionals, founders, consultants & business owners like you. Register Now (Only 500 free seats)Date: Saturday and Sunday, 10 AM - 7 PM.Rated 4.9/10 by global learners – this will truly make you an AI Generalist that can build, solve & work on anything with AI.In just 16 hours & 5 sessions, you will:✅ Learn the basics of LLMs and how they work.✅ Master prompt engineering for precise AI outputs.✅ Build custom GPT bots and AI agents that save you 20+ hours weekly.✅ Create high-quality images and videos for content, marketing, and branding.✅ Automate tasks and turn your AI skills into a profitable career or business.All by global experts from companies like Amazon, Microsoft, SamurAI and more. And it’s ALL. FOR. FREE. 🤯 🚀$5100+ worth of AI tools across 2 days — Day 1: 3000+ Prompt Bible, Day 2: Roadmap to make $10K/month with AI, additional bonus: Your Personal AI Toolkit Builder.Register Now (Only 500 free seats)SponsoredSubscribe|Submit a tip|Advertise with usWelcome to BIPro 107 – The Tools, Trends, and Tech Redefining Business Intelligence This Week 🚀From GPU-powered NumPy and PCI-compliant analytics to multi-agent GenAI systems and synthetic data generators, this week’s roundup captures a wave of innovation reshaping dashboards, databases, and decision-making workflows.See how a Metabase engineer transformed frustration with flat datasets into an open-source generator now powering dashboards and test workflows. Discover how sales dashboards can become truly useful when built for reps, not reports. And learn how Tableau Cloud’s new PCI-DSS 4.0 compliance unlocks secure, self-serve analytics for financial teams.Take a closer look at OpenAI’s latest economic research on workplace productivity, explore a machine learning-powered gamma spectroscopy project, and find out how Google Cloud is embedding vector search and LLMs directly into Cloud SQL with nothing more than SQL.From an AI clinical copilot reducing diagnostic errors in Kenya to NVIDIA’s lightning-fast cuNumeric for GPU-accelerated NumPy, and BeyondTrust’s 30-minute QuickSight dashboard deployments, BI is becoming more live, secure, and production-ready than ever.Try the new ChatGPT agent that not only understands but acts on your requests, automating tasks like building decks and analyzing competitors. Explore Google Cloud’s curated GenAI how-to guides, and learn why Dataproc’s Lightning Engine is setting a new standard for Spark-based analytics and machine learning.Scroll down for this week’s highlights and let us know what breakthroughs or tools caught your eye.Sponsored: Your data, built your way with Twilio Segment — a customer data platform designed to cut through the chaos, unify your stack, and free you to focus on innovation over integration. Learn more.Cheers,Merlyn ShelleyGrowth Lead, Packt📊 Data Viz Trends Shaping the Future of Insights⚫🔵 The story behind our AI Dataset Generator: Frustrated by uninspiring Kaggle datasets and flawed ChatGPT outputs, a Metabase engineer built an open-source fake data generator. It uses LLMs (OpenAI, Claude, Gemini) to create realistic schemas and Faker.js to generate fast, logic-rich rows locally. With 600+ GitHub stars and Hacker News buzz, it's now a go-to tool for demos, dashboards, and testing data workflows.⚫🔵 How to build sales dashboards that sales teams actually use? Most sales dashboards get ignored because they’re built for QBRs, not quotas. A good dashboard supports reps with real-time, explorable insights, like who to call or what’s stuck. Metabase nails this with fast, self-serve, no-SQL tools and key metrics like pipeline by stage, win rate, and forecasted commissions. Build fast, listen hard, and watch usage beat requirements, every time.⚫🔵 Keep Payment and Cardholder Data Secure with PCI-DSS Compliance for Tableau Cloud: Tableau Cloud is now PCI-DSS 4.0 compliant, making it a trusted platform for securely handling cardholder data. As a Level 1 service provider, it meets top-tier security standards and empowers customers with tools like CMEK, Activity Logs, and Row-Level Security. Built on AWS and Hyperforce, it’s a secure, shared-responsibility model, perfect for financial teams seeking compliant, self-service analytics.📈 Dive into Databases: SQL Essentials⚫🔵 OpenAI’s new economic analysis: ChatGPT, now used by over 500 million people, is reshaping work, from saving teachers hours weekly to boosting public service productivity. OpenAI’s economic team has launched a deep dive into AI’s workplace impact, with new research underway. As AI scales human creativity and decision-making, the focus now shifts to ensuring the benefits are widely shared, not just concentrated.⚫🔵 Exploratory Data Analysis: Gamma Spectroscopy in Python. This project explores how machine learning can classify radioactive elements using gamma spectroscopy data. With a Radiacode detector and Python, Dmitrii Eliuseev collects spectral data, smooths and normalizes it, extracts isotope features, and trains an XGBoost model. The result: a real-time, hardware-integrated system that identifies radioactive materials, turning atomic-level radiation patterns into actionable insights for science and safety.⚫🔵 Integrate your Cloud SQL for MySQL instance with Vertex AI and vector search: Google Cloud now lets you embed and search vectors directly in Cloud SQL for MySQL using Vertex AI, no external services needed. With simple SQL, you can store embeddings, build ANN indexes, and use LLMs like Gemini for predictions and sentiment analysis. It’s a powerful way to bring semantic search and AI-driven insights straight into your application’s database layer.🔄 Real-World Transformation: How Gen BI Made Data Work⚫🔵 Pioneering an AI clinical copilot with Penda Health: OpenAI and Penda Health partnered to test a real-world LLM-powered clinical copilot across 40,000 visits in Kenya. The AI assistant, integrated into clinician workflows, reduced diagnostic errors by 16% and treatment errors by 13%. Designed with clinician input and safety in mind, AI Consult proves how well-deployed AI can meaningfully improve care quality, even in complex primary care settings.⚫🔵 NumPy API on a GPU? NVIDIA’s cuNumeric, a drop-in GPU-accelerated replacement for NumPy, is here, and it’s fast. Built on the Legate framework, it runs Python numerical code across CPUs, GPUs, and clusters with no rewrites. Benchmarks show up to 10x speedups on matrix ops. With minimal setup, data scientists can scale existing NumPy workflows effortlessly into multi-GPU territory. Python’s high-performance future is already running.⚫🔵 How BeyondTrust embedded Amazon QuickSight for identity security insights? BeyondTrust transformed its identity security reporting by embedding Amazon QuickSight into its product. With robust CI/CD pipelines, multi-tenant security, and custom UX, dashboards now deploy in under 30 minutes, slashing dev time by 89% and cutting costs by 60%. Their standout: a risk assessment dashboard built in a week. QuickSight is now central to scaling secure, insightful analytics across their platform.⚡ Quick Wins: BI Hacks for Instant Impact⚫🔵 Introducing ChatGPT agent: bridging research and action. ChatGPT now goes beyond chat, its new agent can autonomously browse, analyze, code, and deliver outputs like slides and spreadsheets using its own virtual computer. From briefing meetings to building financial models, it handles complex, multi-step tasks. With tool-switching, browser access, and human-in-the-loop controls, this upgrade makes ChatGPT a proactive collaborator for real-world workflows, outperforming both experts and prior models.⚫🔵 25 top how-to guides for Google Cloud: Google Cloud released a curated list of 25+ GenAI how-to guides for enterprises, covering model deployment, multi-agent systems, RAG pipelines, fine-tuning, and real-world app integrations. Whether you're building with Gemini, LangGraph, or Vertex AI, these recipes help you move from prototype to production faster. It's a practical, evolving toolbox for developers scaling GenAI across enterprise use cases.⚫🔵 Why use Dataproc for your Apache Spark environment? Dataproc just leveled up Spark on Google Cloud. With the Lightning Engine, you get up to 3.6x performance boosts, seamless BigQuery and GCS integration, GPU-accelerated ML, and secure, zero-scale clusters, all without infrastructure headaches. Supporting open lakehouses and fine-grained enterprise security, Dataproc is fast becoming the go-to Spark engine for AI-native, cloud-first analytics and ML workflows.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}}