2 - Getting Started with Microsoft Graph

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İbrahim KIVANÇ

If you have any question please contact me on twitter https://twitter.com/ikivanc This is the session I delivered in Dubai, Microsoft Cloud Roadshow on Feb 22-23. Get an overview of how Office APIs can be leveraged across mobile device platforms and stand-alone Web Application platforms, including ASP.NET MVC, Windows 10, and more. See how the Azure AD Authentication is used, and explore key scenarios to show the value of this API.

https://graph.microsoft.com/
USERS FILES MAIL CALENDARGROUPS
Insights and relationships from Office Graph
TASKS
1

• Getting Started with APIs
• Microsoft Graph API Code Samples
• Microsoft Graph API Training videos
& hands on labs
• Microsoft Graph API documentation

http://dev.office.com/devprogram

https://www.yammer.com/itpronetwork @OfficeDev
St ar tSt ar t
http://dev.office.com/podcasts
http://officespdev.userv
oice.com/
http://aka.ms/O365DevShow

Ibrahim KIVANÇ
Sr. Technical Evangelist @DX Turkey
www.ibrahimkivanc.com
@ikivanc

2 - Getting Started with Microsoft Graph

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https://twitter.com/ikivanc http://blog.microsoft.com.tr/?p=28641 Windows 10 IoT Core Geçtiğimiz günlerde Raspberry Pi 2 ve MinnowBoard Max için Windows 10 IoT Core sürümünü büyük bir heyecanla kullanıma sunduk. Sürüme genel bir bakış atıyoruz. Tüm dünyada olduğu gibi Türkiye’den de pek çok firma, Windows 10 IoT Core sürümünü test ederek kendi ekosistemlerinde kullanmak için çalışmalara başladı. Windows 10 IoT Core temelinde küçük ve gömülü sistemleri, ekranlı veya ekransız kullanımlı cihazları hedefleyen kompakt bir Windows sürümü. Windows 10 IoT Core sayesinde çok daha küçük cihazlarda da Windows 10 ‘u çalıştırabiliyoruz. Nerelerde kullanılır? Önümüzdeki günlerde ATM’lerde, kiosk’larda, otomatik satış makinelerinde, akıllı ev sistemlerinde ve günlük hayatta pek çok noktada bu cihazları görmemiz muhtemel. Teknik detaylar Windows 10 IoT Core sürümü konusundaki bilgileri ve örnek referans projeleri Windows IoT Geliştirme Merkezi’nde bulabilirsiniz. Kullanmak istediğiniz devre kartını seçerek, gerekli geliştirme araçlarını indirebilir ve istediğiniz uygulamaları geliştirmeye başlayabilirsiniz. Windows 10 IoT Core’u kullanarak uygulama geliştirmek için Windows 10 son sürümü (10240 ve sonrası sürümler) ve Visual Studio 2015’i indirmeniz yeterli. Uygulama geliştirmek için tek yapmanız gereken IoT cihazınız ve geliştirme yaptınız bilgisayarın aynı ağ bağlantısında bulunması yeterli. Cihaz üzerindeki Windows’larda alışık olduğumuz Windows arayüzü bulunmadığı için uygulama geliştirdiğiniz PC’nizden bu cihazları yönetebilirsiniz. Windows 10 PC/Tablet ve telefon için geliştirdiğiniz Universal Windows Platform uygulamalarınızda istediğiniz takdirde farklı arayüzler tanımlayabilirsiniz. Son sürümü çıkar çıkmaz ben de Raspberry Pi 2 cihazımda Window 10 IoT Core’u test ederek ilk uygulamalarımı geliştirdim, ilk deneyimlerim ise aşağıdaki şekilde oldu: ◦Öncelikle sensörlerle haberleşebilmek için temel elektronik devreler bilgilerinizin olması gerekmekte. ◦Daha öncesinde .NET, C# ve XAML ile uygulama geliştirme deneyimiz varsa çok rahat bir şekilde IoT çözümler geliştirebildiğinizi görebilirsiniz. ◦Windows 10 için özel geliştirdiğiniz Universal Windows Platform uygulamalarınızı direkt olarak IoT cihazlarınızın üzerine yükleyebilmek gerçekten güzel bir deneyim. Burada dikkat edilmesi gereken nokta kullanım senaryosundaki uyumluluk ve arayüzün (eğer ekran kullanacaksanız) buna uyumlu olarak çalışması. ◦Bulut tarafında Windows IoT Core ile Azure servislerine çok rahat bir şekilde bağlarak, tıpkı Windows mağaza uygulamalarınızda olduğu gibi arkasında Azure olan çözümler geliştirebilirsiniz. ◦Visual Studio ve PowerShell aracılığıyla cihaza kolay bir şekilde uygulamanızı yükleyebilir ve cihaz yönetim/konfigurasyonu yapabiliyorsunuz. Sonraki yazılarımızda bunlara detaylı bir şekilde eğileceğiz. Daha fazla detaylı bilgi için resmi blog yazısını okuyabilirsiniz. http://blog.microsoft.com.tr/?p=28641

Windows 10 IoT Core - Inovasyon Haftasi - TİM

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Created by Mozilla Research in 2012 and now part of Linux Foundation Europe, the Servo project is an experimental rendering engine written in Rust. It combines memory safety and concurrency to create an independent, modular, and embeddable rendering engine that adheres to web standards. Stewardship of Servo moved from Mozilla Research to the Linux Foundation in 2020, where its mission remains unchanged. After some slow years, in 2023 there has been renewed activity on the project, with a roadmap now focused on improving the engine’s CSS 2 conformance, exploring Android support, and making Servo a practical embeddable rendering engine. In this presentation, Rakhi Sharma reviews the status of the project, our recent developments in 2023, our collaboration with Tauri to make Servo an easy-to-use embeddable rendering engine, and our plans for the future to make Servo an alternative web rendering engine for the embedded devices industry. (c) Embedded Open Source Summit 2024 April 16-18, 2024 Seattle, Washington (US) https://events.linuxfoundation.org/embedded-open-source-summit/ https://ossna2024.sched.com/event/1aBNF/a-year-of-servo-reboot-where-are-we-now-rakhi-sharma-igalia

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The presentation explores the development and application of artificial intelligence (AI) from its inception to its current status in the modern world. The term "artificial intelligence" was first coined by John McCarthy in 1956 to describe efforts to develop computer programs capable of performing tasks that typically require human intelligence. This concept was first introduced at a conference held at Dartmouth College, where programs demonstrated capabilities such as playing chess, proving theorems, and interpreting texts. In the early stages, Alan Turing contributed to the field by defining intelligence as the ability of a being to respond to certain questions intelligently, proposing what is now known as the Turing Test to evaluate the presence of intelligent behavior in machines. As the decades progressed, AI evolved significantly. The 1980s focused on machine learning, teaching computers to learn from data, leading to the development of models that could improve their performance based on their experiences. The 1990s and 2000s saw further advances in algorithms and computational power, which allowed for more sophisticated data analysis techniques, including data mining. By the 2010s, the proliferation of big data and the refinement of deep learning techniques enabled AI to become mainstream. Notable milestones included the success of Google's AlphaGo and advancements in autonomous vehicles by companies like Tesla and Waymo. A major theme of the presentation is the application of generative AI, which has been used for tasks such as natural language text generation, translation, and question answering. Generative AI uses large datasets to train models that can then produce new, coherent pieces of text or other media. The presentation also discusses the ethical implications and the need for regulation in AI, highlighting issues such as privacy, bias, and the potential for misuse. These concerns have prompted calls for comprehensive regulations to ensure the safe and equitable use of AI technologies. Artificial intelligence has also played a significant role in healthcare, particularly highlighted during the COVID-19 pandemic, where it was used in drug discovery, vaccine development, and analyzing the spread of the virus. The capabilities of AI in healthcare are vast, ranging from medical diagnostics to personalized medicine, demonstrating the technology's potential to revolutionize fields beyond just technical or consumer applications. In conclusion, AI continues to be a rapidly evolving field with significant implications for various aspects of society. The development from theoretical concepts to real-world applications illustrates both the potential benefits and the challenges that come with integrating advanced technologies into everyday life. The ongoing discussion about AI ethics and regulation underscores the importance of managing these technologies responsibly to maximize their their benefits while minimizing potential harms.

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Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood

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Juan lago vázquez

With more memory available, system performance of three Dell devices increased, which can translate to a better user experience Conclusion When your system has plenty of RAM to meet your needs, you can efficiently access the applications and data you need to finish projects and to-do lists without sacrificing time and focus. Our test results show that with more memory available, three Dell PCs delivered better performance and took less time to complete the Procyon Office Productivity benchmark. These advantages translate to users being able to complete workflows more quickly and multitask more easily. Whether you need the mobility of the Latitude 5440, the creative capabilities of the Precision 3470, or the high performance of the OptiPlex Tower Plus 7010, configuring your system with more RAM can help keep processes running smoothly, enabling you to do more without compromising performance.

Boost PC performance: How more available memory can improve productivity

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Principled Technologies

Join our latest Connector Corner webinar to discover how UiPath Integration Service revolutionizes API-centric automation in a 'Quote to Cash' process—and how that automation empowers businesses to accelerate revenue generation. A comprehensive demo will explore connecting systems, GenAI, and people, through powerful pre-built connectors designed to speed process cycle times. Speakers: James Dickson, Senior Software Engineer Charlie Greenberg, Host, Product Marketing Manager

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2 - Getting Started with Microsoft Graph

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6. https://graph.microsoft.com/ USERS FILES MAIL CALENDARGROUPS Insights and relationships from Office Graph TASKS 1

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22. • Getting Started with APIs • Microsoft Graph API Code Samples • Microsoft Graph API Training videos & hands on labs • Microsoft Graph API documentation

23. http://dev.office.com/devprogram

24. https://www.yammer.com/itpronetwork @OfficeDev St ar tSt ar t http://dev.office.com/podcasts http://officespdev.userv oice.com/ http://aka.ms/O365DevShow

25. Ibrahim KIVANÇ Sr. Technical Evangelist @DX Turkey www.ibrahimkivanc.com @ikivanc