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C# 14 and .NET 10 – Modern Cross-Platform Development Fundamentals

C# 14 and .NET 10 – Modern Cross-Platform Development Fundamentals - Tenth Edition

By : Mark J. Price
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C# 14 and .NET 10 – Modern Cross-Platform Development Fundamentals

C# 14 and .NET 10 – Modern Cross-Platform Development Fundamentals

5 (1)
By: Mark J. Price

Overview of this book

C# and .NET remain the backbone of modern enterprise and cross-platform development. Whether you're building high-performance websites and services on Windows or Linux or desktop apps that run on Windows and macOS, the .NET ecosystem provides a mature yet constantly evolving foundation for software development. With the release of C# 14 and .NET 10, developers now have access to a more powerful toolset. This tenth edition has been thoroughly updated to reflect the latest features. It begins with a deep grounding in object-oriented programming and then walks you through building, testing, and debugging functions, as well as managing resources with .NET libraries. You'll work with data using LINQ and serialization, handle filesystem operations, and integrate new features like numerical string comparisons and OrderedDictionary improvements. This book explains C# 14 updates, such as field modifiers, partial events, and instance constructors, in a real-world context. It also guides you in building practical projects with ASP.NET Core 10, exploring Blazor and Minimal API web services that support AOT compilation—ideal for microservices and containers. By the end of the book, you’ll be ready to ship professional websites, services, and tools across platforms, confident in your ability to build software that's maintainable, efficient, and aligned with modern .NET development.
Table of Contents (19 chapters)
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18
Index

Understanding modern databases

Two of the most common places to store data are in a relational database management system (RDBMS), such as SQL Server, PostgreSQL, MySQL, and SQLite, or a NoSQL database, such as Azure Cosmos DB, Redis, MongoDB, and Apache Cassandra.

Relational databases were invented in the 1970s. They are queried with Structured Query Language (SQL). At the time, data storage costs were high, so they reduced data duplication as much as possible. Data is stored in tabular structures with rows and columns that are tricky to refactor once in production. They can be difficult and expensive to scale.

NoSQL databases do not just mean “no SQL”; they can also mean “not only SQL.” They were invented in the 2000s, after the internet and the web had become popular, and adopted many of the learnings from that era of software. They are designed for massive scalability, high performance, and making programming easier by providing maximum flexibility...

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C# 14 and .NET 10 – Modern Cross-Platform Development Fundamentals
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