Code Coverage Through Unit Tests Running in Sub-Processes - Threads - Locally and Automated on GitHub
Learn to measure and improve code coverage for tests running in sub-processes/threads, locally and on GitHub. Explore techniques to enhance reliability and automate the process using CI tools.
Power Query and Power BI - Analytics
Explore Facebook data analysis using Power Query and Power BI. Learn to extract insights from your feed trends and photo locations for personalized self-service business intelligence.
PowerApps and AI - A Flow of Location Events
Explore PowerApps and AI integration for location tracking, using Bing maps, Azure SQL, and Cognitive Services. Learn to create mobile apps with real-time alerts and location-aware web searches.
Atomic Display Framework
Explore the Atomic Display Framework and its potential to address KMS limitations in Android, featuring insights from Google and Linaro experts.
Dma-buf Fences vs Android Sync Driver
Exploring semantic differences between dma-buf fences and Android sync driver, discussing use cases, and evaluating potential common ground or hybrid approaches for file storage systems.
Unified in-Kernel IPC - KDBUS/Binder
Exploring the potential consolidation of KDBUS and Binder for unified in-kernel IPC, discussing Android compatibility and upstream integration challenges.
Android Netfilter Changes
Exploring Android netfilter changes and efforts to merge functionality with upstream Linux, focusing on ConfigFS gadget integration and remaining challenges for Android migration.
ION - dma-buf Allocators - Constraint Solving
Roundtable on ION/dma-buf allocators and constraint solving, discussing centralized vs device-specific allocators, userland device constraint discovery, and potential iommu/dma-api extensions.
Android MC
Explore Android's evolving applications, mainlining efforts, and core functionality improvements in Linux systems, including kernel developments and innovative solutions.
Android - MC
Explore Android development insights and best practices in this comprehensive session from the Linux Plumbers Conference, covering key topics and advanced techniques.
Android MC
Explore Android's integration with Linux, discussing challenges and solutions in mobile computing at the Linux Plumbers Conference 2020.
Android Discussions
Explore key Android development topics including GKI, build systems, graphics, upstreaming, and virtualization in this comprehensive technical discussion.
Android MC
Explore cutting-edge developments in Android's integration with the Linux kernel, focusing on performance optimizations, security enhancements, and collaborative efforts between developers.
Android Microconference - Linux Plumbers Conference 2021
Explore collaboration between Android and Linux communities in this conference session, focusing on shared challenges and potential solutions for mobile device development.
Android MC
Explore Android's Memory Compaction (MC) technology, its implementation, and impact on system performance in this in-depth technical session.
Android MC
Explore Android's Memory Controller (MC) and its impact on system performance in this in-depth technical discussion from the Linux Plumbers Conference.
MGLRU Results on Android
Explore MGLRU's impact on Android performance, memory management, and user experience with insights from real-world implementation and testing results.
Refactoring Your App in Rx
Explore refactoring iOS and Android apps using RxSwift and RxJava. Learn about management buy-in, networking, notifications, and more from Robin Malhotra's experience.
Swift - One Language to Rule Them All
Explore Swift's versatility for iOS, Android, and server-side development. Learn how to create cross-platform applications using a single language, revolutionizing app development workflows.
All You Need Is Swift
Explore full-stack Swift development for iOS and backend, leveraging Swift 3's Linux support. Learn how major companies are implementing this approach for seamless front-end and back-end integration.
Core ML and Your App
Explore Core ML foundations and practical applications in iOS development. Learn to implement machine learning capabilities in just 10 lines of code to enhance your app's functionality.