mohamed Tayel

Featured in: Favicon

dev.to

Articles

Understanding O(log N): Logarithmic Time Complexity

Dec 10, 2024 | dev.to | mohamed Tayel

Logarithmic time complexity, denoted as O(log N), represents an algorithm where the number of operations increases logarithmically with the size of the input data, N. Such algorithms are highly efficient for handling large datasets because they reduce the problem size significantly at each step. In this article, we will explore the concept of logarithmic time, walk through a detailed example using binary search, and discuss common use cases of O(log N).
Understanding O(N): Linear Time Complexity in Algorithms

Dec 10, 2024 | dev.to | mohamed Tayel

What is O(N)? In algorithm analysis, O(N), or linear time complexity, indicates that the time an algorithm takes to complete grows proportionally with the size of the input ( N ). If the input size doubles, the execution time also roughly doubles. This is one of the most common and straightforward time complexities in computer science. Characteristics of O(N):The algorithm processes each element of the input exactly once. The number of operations grows linearly with the input size.
Understanding Big O Notation: A Beginner's Guide

Dec 10, 2024 | dev.to | mohamed Tayel

Performance is a key consideration when writing code, especially when dealing with large datasets. However, for many developers, the concept of Big O notation might seem intimidating at first. This guide is designed to explain Big O in a simple, intuitive way, helping you understand how to measure and optimize the scalability of your code. What is Big O Notation?
Why Arrays Seem Strange

Dec 10, 2024 | dev.to | mohamed Tayel

Arrays are the most fundamental collection type in programming, but their design and limitations often leave developers puzzled. Why do arrays have such strict constraints, and why are they still considered foundational in modern programming? Let’s dive into the design and purpose of arrays to uncover the answers. 1. Fixed SizeArrays are immutable in size. Once you create an array, its length cannot be altered.
Chaining LINQ Methods in C#: Why Order Matters

Dec 4, 2024 | dev.to | mohamed Tayel

LINQ (Language Integrated Query) is one of the most powerful features of C#, allowing developers to manipulate collections and query data in a concise and readable way. One particularly useful feature of LINQ is method chaining, where multiple operations like filtering, sorting, and selecting can be combined into a single statement. However, the order of operations can significantly impact the results.
Introduction to Arrays

Nov 30, 2024 | dev.to | mohamed Tayel

Arrays are one of the most fundamental collection types in C#. They allow you to store multiple related values in a single, ordered collection. Whether you're managing days of the week, student grades, or product prices, arrays make data organization and manipulation more efficient. In this article, we’ll cover:What arrays are. How to create and initialize them. Accessing, modifying, and enumerating array elements. A practical example: Building a Weekly Task Manager.
Understanding How the .NET Compiler Handles Generics

Nov 27, 2024 | dev.to | mohamed Tayel

Generics are one of the most powerful features in .NET, allowing developers to create reusable and type-safe code. While they simplify development for us, the .NET compiler handles some complex tasks behind the scenes to ensure everything works efficiently. Let’s break it down into simple terms with examples. When you define a generic class like List<T>, the compiler doesn’t know in advance what type T will be.
Covariance and Contravariance in C#: Real-World Scenarios Explained

Nov 27, 2024 | dev.to | mohamed Tayel

Variance in C# is a powerful concept that allows you to use type hierarchies more flexibly in generic types. By understanding covariance and contravariance, you can design and work with collections, delegates, and comparers more effectively. In this article, we’ll explain these concepts and demonstrate them using practical, real-world scenarios. Covariance:Allows a derived type to be used where a base type is expected. Applies to output types, like return values.
Understanding Optimization via Redesign

Nov 26, 2024 | dev.to | mohamed Tayel

Meta Description: Discover the art of optimization through redesign in C#. Learn how LINQ's OrderBy optimization works, the challenges of performance tuning, and best practices for creating efficient and maintainable code. When we measure performance in code, it often marks the beginning of a deeper journey: redesigning and optimizing to achieve better results. However, optimization is a double-edged sword—it can lead to significant improvements but also introduce new challenges.
Generics in C#: Flexibility, Reusability, and Type Safety

Nov 19, 2024 | dev.to | mohamed Tayel

Meta Description:Learn how generics in C# enhance flexibility, reusability, and type safety in your code. Explore their role in collections, algorithms, and scalable application design. Generics allow developers to define classes, methods, and interfaces with placeholders for the type of data they will operate on. This placeholder, called a type parameter, is replaced with a specific type at runtime or compile-time.