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C#s Language Integrated Query (LINQ) is a set of features designed to work together to allow in-language querying abilities and is a distinguishing feature between C# and Java. LINQ consists of these features: Extension methods allow existing interfaces or classes to be extended with new methods.
Thus, one can use threads without paying the cost of creation and disposal of threads. The following shows the basic code of the object pool design pattern implemented using C#. For brevity the properties of the classes are declared using C# 3.0 automatically implemented property syntax.
[5] [6] Starting with the .NET Standard, an app can target a version of the .NET Standard and then it could be used (without recompiling) by any implementation that supports that level of the standard. This enables portability across different .NET implementations.
C#, since .NET Framework 4.5, [22] via the keywords async and await [23] Kotlin, however kotlin.native.concurrent.Future is only usually used when writing Kotlin that is intended to run natively [35] Nim; Oxygene; Oz version 3 [36] Python concurrent.futures, since 3.2, [37] as proposed by the PEP 3148, and Python 3.5 added async and await [38]
Java Active Tier Java and automatically introspected project metadata Shell commands Java (Full Web Application including Java source, AspectJ source, XML, JSP, Spring application contexts, build tools, property files, etc.) T4: Passive T4 Template/Text File: Any text format such as XML, XAML, C# files or just plain text files. Umple
The C++ standard library is designed to be minimalistic, providing only a standardised set of general use features, while the Java Class Library and Java Platform Module System (the Java standard library) is much more extensive, providing a much larger comprehensive standardised set of features, such as graphics, UI creation, and more.
(In Java 5 or later) Volatile reads and writes establish a happens-before relationship, much like acquiring and releasing a mutex. [16] This relationship is simply a guarantee that memory writes by one specific statement are visible to another specific statement. A volatile fields are linearizable.
Without a detailed understanding of the language's behavior in this area, the algorithm is difficult to implement correctly. One of the dangers of using double-checked locking is that even a naive implementation will appear to work most of the time: it is not easy to distinguish between a correct implementation of the technique and one that has ...