Book Image

High-Performance Programming in C# and .NET

By : Jason Alls
Book Image

High-Performance Programming in C# and .NET

By: Jason Alls

Overview of this book

Writing high-performance code while building an application is crucial, and over the years, Microsoft has focused on delivering various performance-related improvements within the .NET ecosystem. This book will help you understand the aspects involved in designing responsive, resilient, and high-performance applications with the new version of C# and .NET. You will start by understanding the foundation of high-performance code and the latest performance-related improvements in C# 10.0 and .NET 6. Next, you’ll learn how to use tracing and diagnostics to track down performance issues and the cause of memory leaks. The chapters that follow then show you how to enhance the performance of your networked applications and various ways to improve directory tasks, file tasks, and more. Later, you’ll go on to improve data querying performance and write responsive user interfaces. You’ll also discover how you can use cloud providers such as Microsoft Azure to build scalable distributed solutions. Finally, you’ll explore various ways to process code synchronously, asynchronously, and in parallel to reduce the time it takes to process a series of tasks. By the end of this C# programming book, you’ll have the confidence you need to build highly resilient, high-performance applications that meet your customer's demands.
Table of Contents (22 chapters)
1
Part 1: High-Performance Code Foundation
7
Part 2: Writing High-Performance Code
16
Part 3: Threading and Concurrency

Interacting with Python code

Python is one of the world's top programming languages and is a favorite of data scientists and programmers working in the field of artificial intelligence and machine learning. Automation of day-to-day mundane infrastructure tasks has been carried out by infrastructure professionals using the Python programming language.

Python code has been designed in such a way that programmers can code tasks quicker than they can in C#. So, the programming writing experience in Python can be quicker than in C#. Some programmers state that Python can be more readable than C#, although I find C# easier to read and understand when compared to Python. This means that readability is rather subjective, but more programmers create programs in Python than they do in C#.

C# beats Python when it comes to compiled code performance. Python can be quicker to write but requires a lot of testing and its garbage collector and interpreter can affect the performance of Python...