تاریخچهی NET.
سری بررسی مقدمات Blazor
Blazor Fundamentals Tutorial
Blazor server-side vs client-side (WebAssembly) | What should you choose?
What are Razor Components? | Blazor Tutorial 1
Dependency Injection | Blazor Tutorial 2
What are Blazor Layouts? | Blazor Tutorial 3
Routing and Navigation | Blazor Tutorial 4
JS Interop: Calling JavaScript from C# | Blazor Tutorial 5
JS Interop: Calling C# methods from JavaScript | Blazor Tutorial 6
Creating Forms with Validation | Blazor Tutorial 7
How to add Authentication in Server-side Blazor | Blazor Tutorial 8
Authorization in Server-Side Blazor | Blazor Tutorial 9
How to use HTML5 Web Storage in Blazor | Blazor Tutorial 10
Managing Blazor state using Redux | Blazor Tutorial 11
Creating a desktop application using Blazor and Electron | Blazor Tutorial 12
Deploying Server-Side Blazor in Azure with SignalR service | Blazor Tutorial 13
Building cross platform mobile apps with Blazor (Experimental)
مدرسه هوش مصنوعی
Dive in and learn how to start building intelligence into your solutions with the Microsoft AI platform, including pre-trained AI services like Cognitive Services and Bot Framework, as well as deep learning tools like Azure Machine Learning, Visual Studio Code Tools for AI, and Cognitive Toolkit. Our platform enables any developer to code in any language and infuse AI into your apps. Whether your solutions are existing or new, this is the intelligence platform to build on.
React 16x - قسمت 31 - React Hooks - بخش 2 - مقایسه حالتهای مختلف مدیریت حالت با useState Hook
- Linux support for tier-1, mission-critical workloads – SQL Server 2017 support for Linux includes the same high availability solutions on Linux as Windows Server, including Always On availability groups integrated with Linux native clustering solutions like Pacemaker.
- Graph data processing in SQL Server – With the graph data features available in SQL Server 2017and Azure SQL Database, customers can create nodes and edges, and discover complex and many-to-many relationships.
- Adaptive query processing – Adaptive query processing is a family of features in SQL Server 2017 that automatically keeps database queries running as efficiently as possible without requiring additional tuning from database administrators. In addition to the capability to adjust batch mode memory grants, the feature set includes batch mode adaptive joins and interleaved execution capabilities.
- Python integration for advanced analytics – Microsoft Machine Learning Services now brings you the ability to run in-database analytics using Python or R in a parallelized and scalable way. The ability to run advanced analytics in your operational store without ETL means faster time to insights for customers while easy deployment and rich extensibility make it fast to get up and running on the right model.