The C# Excel Library · Intuitive C# & VB.NET Excel API · No need to install MS Office or Excel Interop ...
New research has uncovered exploitation primitives in the .NET Framework that could be leveraged against enterprise-grade applications to achieve remote code execution. WatchTowr Labs, which has ...
The U.S. Cybersecurity and Infrastructure Security Agency (CISA) on Tuesday added a security flaw impacting the WinRAR file archiver and compression utility to its Known Exploited Vulnerabilities (KEV ...
Abstract: Regular path queries (RPQs) in graph databases are bottlenecked by the memory wall. Emerging processing-in-memory (PIM) technologies offer a promising solution to dispatch and execute path ...
Facepalm: Users have long criticized Windows 11 File Explorer as inferior to its Windows 10 predecessor. The essential tool suffers from slow launches, sluggish file searches, and delayed right-click ...
Digital Healthcare Architect specializing in the design and integration of enterprise healthcare platforms. I build and modernize systems using C#, .NET, Java, Python, TypeScript, and SQL across cloud ...
OneDrive for Business provides a fast, easy way to store, sync, and share your files. Because they are saved in the cloud, your files are quickly accessible from any ...
A much-requested feature has arrived in Microsoft Copilot. The AI chatbot can now handle multiple file uploads (including images) at once. This update is already live for all users on the app or ...
ASP.NET Core offers a simplified hosting model, called minimal APIs, that allows us to build lightweight APIs with minimal dependencies. We’ve discussed minimal APIs in several earlier posts here.
While Dapper provides excellent support for performing CRUD (create, read, update, delete) operations efficiently, it does not have built-in support for bulk operations (i.e., bulk insert, bulk update ...
We are developing a .NET Core 9 MVC application that includes file upload functionality. The system is expected to support: Uploading 15 to 20 large files simultaneously, with each file ranging from 1 ...
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