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Memory Efficiency
6 posts about Memory Efficiency by 6 contributors.
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- 6
Articles about Memory Efficiency
- Article · .NET
Efficient Memory Access with CollectionsMarshal.AsSpan: in C# .NET
Learn how to optimize memory access in C# .NET using CollectionsMarshal.AsSpan for high-performance scenarios. This API provides direct access to collection memory, reducing allocations and improving efficiency.
- Article · C#
Summary of Working with Arrays in C# from Basics to Advanced
Arrays in C# are collections of homogeneous elements stored in contiguous memory. They have a fixed size, start from index 0, and allow easy access, modification, and iteration. C# supports multidimensional, jagged arrays, and LINQ operations.
- Article · WPF
Dependency Properties in WPF: Benefits, Usage, and Examples in C#
A Dependency Property in WPF is a specialized property supported by the WPF property system. It enables data binding, styling, animation, and value inheritance. This system improves memory efficiency and provides automatic change notifications, making it essential for dynamic, data-driven applications.
- Article · .NET
The Best Way to Work with Excel in .NET: MiniExcel
MiniExcel is a lightweight, high-performance .NET library for handling Excel files. Simplifies tasks like reading and writing data with minimal dependencies and fast processing. Ideal for reporting, data export/import, and automation, MiniExcel offers a streamlined approach without the complexity of heavier libraries.
- Article · Python
Understanding of Iterators in Python
Iterators in Python allow efficient traversal of sequences by implementing iter() and next() methods. Unlike iterables, iterators represent a stream of data and support on-demand value computation, enhancing memory efficiency and performance.
- Article · ADO.NET
Efficient Data Retrieval with ADO.NET SqlDataReader
SqlDataReader in ADO.NET provides fast, forward-only data retrieval from SQL Server databases. It reads data as a stream, minimizing memory usage, and making it ideal for large datasets. Unlike SqlDataAdapter, it offers high performance for read-only scenarios and is efficient in handling big data with minimal overhead.
