Optimizing Regular Expressions in Go Applications

Optimizing Regular Expressions in Go Applications

Introduction to Regular Expressions in Go When working with text data in Go, regular expressions (regex) are an indispensable tool. However, they can often become a performance bottleneck if not used efficiently. In this article, we will delve into the world of regular expressions in Go, exploring how to optimize their use for better performance and readability. The regexp Package In Go, the regexp package provides all the necessary tools for working with regular expressions....

November 10, 2024 · 5 min · 1017 words · Maxim Zhirnov
Creating a GraphQL API with Node.js: A Step-by-Step Guide

Creating a GraphQL API with Node.js: A Step-by-Step Guide

Introduction to GraphQL and Node.js In the ever-evolving world of software development, APIs are the backbone of modern applications. Among the various API architectures, GraphQL has gained significant traction due to its flexibility and efficiency. In this article, we’ll delve into the world of GraphQL and guide you through the process of creating a GraphQL API using Node.js. What is GraphQL? GraphQL is a query language for APIs that allows clients to specify exactly what data they need, reducing the amount of data transferred and improving performance....

November 10, 2024 · 6 min · 1146 words · Maxim Zhirnov
The Dangers of Overusing Inheritance: Composition Over Inheritance Revisited

The Dangers of Overusing Inheritance: Composition Over Inheritance Revisited

The Inheritance Conundrum In the world of object-oriented programming (OOP), inheritance is often touted as a powerful tool for code reuse and creating hierarchical relationships between classes. However, as we delve deeper, it becomes clear that overrelying on inheritance can lead to a tangled web of complexity, making your codebase a nightmare to maintain. In this article, we’ll explore the dangers of overusing inheritance and why composition is often the better choice....

November 10, 2024 · 5 min · 861 words · Maxim Zhirnov
Creating a Distributed Search System with Go and Elasticsearch

Creating a Distributed Search System with Go and Elasticsearch

Introduction to Elasticsearch Before we dive into the nitty-gritty of building a distributed search system using Go and Elasticsearch, let’s take a moment to understand what Elasticsearch is and why it’s a powerhouse in the world of search and analytics. Elasticsearch is an open-source, distributed, RESTful search and analytics engine built on Apache Lucene. It’s designed for horizontal scalability, maximum reliability, and easy management. Elasticsearch is widely used for full-text search, log analysis, and real-time analytics, making it a perfect fit for our distributed search system[1][3][5]....

November 9, 2024 · 5 min · 1019 words · Maxim Zhirnov
Introduction to Zig for System Programming

Introduction to Zig for System Programming

What is Zig? Zig is a general-purpose, compiled programming language designed to create robust, optimal, and reusable software. It was created by Andrew Kelley and first appeared in 2015. Zig is often seen as a modern alternative to C, inheriting some of its syntax but adding several modern features and improvements[2]. Key Features of Zig Static Typing: Zig is a statically typed language, which means it checks the types of variables at compile time rather than runtime....

November 9, 2024 · 5 min · 863 words · Maxim Zhirnov