C Sharp
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| C Sharp | |
|---|---|
| Name | C# |
| Paradigm | Multi-paradigm: structured, object-oriented, component-oriented, functional |
| Designer | Anders Hejlsberg |
| Developer | Microsoft |
| First appeared | 2000 |
| Typing | Static, strong, safe, nominative, partially inferred |
| Influenced by | C++, Java, Delphi, Pascal |
| Influenced | F#, Kotlin, Rust, TypeScript |
C Sharp C Sharp is a high-level, general-purpose programming language developed to support component-oriented software engineering and large-scale application development, rooted in languages such as C++, Java and Delphi. It was created by Anders Hejlsberg at Microsoft to interoperate with the .NET Framework and later with .NET Core and modern .NET runtimes, targeting desktop, web, cloud, mobile, gaming and embedded scenarios. The language emphasizes type safety, performance, and tooling support for enterprise and open-source ecosystems including projects from Microsoft, JetBrains, Red Hat, Google and the Linux Foundation.
History
C Sharp originated in the late 1990s under Microsoft leadership including Anders Hejlsberg and teams associated with the .NET Framework, Windows strategy, alongside initiatives such as Visual Studio. Early standardization work engaged bodies including ECMA International and the ISO, while community contributions emerged through projects like Mono led by Miguel de Icaza and the Xamarin ecosystem, later acquired by Microsoft. Corporate shifts involving Novell, Linux Foundation, and partnerships with Red Hat and Canonical informed cross-platform support, while major industry events such as Microsoft's Connect(); and Build conferences showcased language milestones. Legal and interoperability discussions have intersected with organizations such as European Union regulators and interoperability efforts by Open Source Initiative participants.
Design and Features
The language design integrates concepts from C++, Java, Objective-C, and Functional programming influences found in ML and Haskell, adding features like generics, lambda expressions, async/await, and pattern matching. Type system decisions reflect research from Tony Hoare, Robin Milner, and industrial languages such as Eiffel and Ada, while memory management relies on a garbage collector model pioneered in projects like JVM work at Sun Microsystems. Component models integrate with COM (Component Object Model), SOAP, and RESTful architectures used by enterprises including IBM, Oracle and Accenture for distributed applications. Language safety and verification draws on formal methods communities linked to Microsoft Research and academic labs at MIT, Stanford University, and University of Cambridge.
Syntax and Examples
Typical syntax borrows lexical and structural conventions from C and C++, using braces and semicolons, with modern constructs inspired by Lambda calculus and functional languages like F#; example code often appears in tooling provided by Visual Studio and JetBrains Rider. Example: a simple program demonstrating types, generics, and async patterns is used in documentation from MSDN and community tutorials by organizations such as Pluralsight, Coursera, and edX. IDE integrations show debugging, refactoring, and code analysis features comparable to tools from JetBrains, Microsoft, and Eclipse Foundation, while formatting and style guidance aligns with standards promoted by Google and Intel in large codebases. Community examples and patterns are curated in repositories and learning platforms maintained by GitHub, GitLab, and Bitbucket contributors.
Standard Library and Runtime
The language relies on the .NET Framework and modern .NET runtime class libraries, including Base Class Library components developed by Microsoft and community contributors hosted on GitHub. Implementations such as Mono and the cross-platform runtime from Microsoft enable execution on operating systems like Windows, Linux, and macOS used by enterprises including Amazon Web Services and cloud providers such as Microsoft Azure and Google Cloud Platform. The runtime provides managed memory, JIT compilation, and interoperability bridges to native libraries and systems like Win32 API, POSIX, and OpenGL used in gaming engines such as Unity and Unreal Engine. Serialization, networking, XML, JSON, and cryptography modules align with specifications set by IETF, W3C, and standards used in projects by Mozilla and Apache Software Foundation.
Development Tools and Ecosystem
Primary development environments include Visual Studio, Visual Studio Code, and JetBrains Rider, with build systems and package management led by NuGet and CI/CD integrations available in platforms like Azure DevOps, GitHub Actions, and Jenkins. Cross-platform mobile development is enabled by frameworks such as Xamarin and community projects tied to .NET MAUI, while game development is dominated by engines like Unity and middleware from Epic Games. Open-source governance and contributions are coordinated via GitHub, with community organizations such as the .NET Foundation and corporate contributors including Microsoft, Red Hat, JetBrains, and Google. Educational resources and certification programs are offered by institutions like Microsoft Learn, Coursera, edX, and professional bodies such as ACM and IEEE.
Version History and Evolution
Language evolution follows releases tied to .NET platform versions, with major language feature additions—generics, LINQ, async/await, tuples, pattern matching, records—unveiled at developer conferences such as Microsoft Build and standardized through ECMA International documents and community RFC processes hosted on GitHub. Implementations and vendor roadmaps have been announced at events by Microsoft, JetBrains, and Xamarin, while community-driven forks and cross-platform ports have been maintained by projects like Mono and distributions supported by Canonical and Red Hat. Academic analyses and industry adoption studies by Gartner and Forrester chronicle the language’s trajectory in enterprise, cloud, and game development domains, with ecosystem maturity validated by contributions from organizations such as Amazon, Google, Facebook, and large open-source projects on GitHub.