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Juan Carlos Angulo

CS Fundamentals

Theoretical and practical foundations of software engineering: algorithmic complexity analysis, data structures, and code efficiency evaluation.

22 posts

Posts in this category

Tablas hash: Estructuras clave para un manejo eficiente de datos

Las tablas hash son estructuras de datos que almacenan pares clave-valor y permiten búsqueda, inserción y eliminación en tiempo casi constante mediante una función hash. Esta guía cubre su funcionamiento, la gestión de colisiones y ejemplos prácticos de aplicación en sistemas informáticos reales.

CS Fundamentals

Stacks and Queues

Discover the fundamentals of stacks and queues, their core operations, use cases, and how to implement them effectively in Python.

CS Fundamentals

Recursion algorithms

Explore recursion algorithms to improve problem-solving skills in programming. Learn key concepts, types, and practical applications with examples.

CS Fundamentals

Dynamic Programming: A Practical Guide to Solving Complex Problems

CS Fundamentals

Heap Data Structure Explained: Types and Algorithms

CS Fundamentals

Merge Sort Python: A Complete Guide to Implementation

CS Fundamentals

Space Complexity Explained: An Informative Guide

CS Fundamentals

Time Complexity Explained: The Basics and Importance

CS Fundamentals

Data Structures: An Overview and Their Applications

Data structures are what let a program organize and manage information efficiently. This article walks through arrays, linked lists, trees, and graphs, and how the right choice can seriously boost your application's performance.

CS Fundamentals

Binary Search Tree: A Guide to In-Order Traversal

CS Fundamentals

Graph Algorithms Explained: Your Comprehensive Guide

CS Fundamentals

Queue Data Structure: Core Concepts and Operations in Programming

CS Fundamentals

Quicksort Python: An Informative Guide to Implementation and Optimi...

CS Fundamentals

Tree Traversal Techniques Explained: A Comprehensive Guide

CS Fundamentals

Sorting Algorithms 2026: Efficiency in Data Organization

Sorting is a fundamental operation in computer science. We analyze the best sorting algorithms for 2026, comparing their time and space complexity to help you choose the most efficient approach for your data sets.

CS Fundamentals

Binary Trees 2026: Hierarchical Data Mastery

Binary trees are essential for efficient data retrieval. This guide covers the theory and implementation of binary trees in 2026, exploring their application in everything from file systems to high-performance search indices.

CS Fundamentals

Database Design 2026: Keys for Modern Structure

A database's structure determines the application's future. This guide outlines how to design scalable schemas in 2026, focusing on relationships, indexing strategies, and performance considerations for high-volume data.

CS Fundamentals

Database Normalization 2026: Integrity and Speed

Normalization is the backbone of relational database design. Avoid data redundancy and maintain integrity by following standard normal forms, ensuring your data remains clean and fast in enterprise environments.

CS Fundamentals

Dynamic Programming 2026: Efficiency in Complexity

Dynamic programming is the key to solving complex overlapping problems. Discover the principles of memoization and tabulation to reduce algorithmic complexity and build highly efficient systems in 2026.

CS Fundamentals

Algorithms and Data Structures 2026: The Engineer's Foundation

Core algorithms and data structures are the building blocks of efficient software. Learn how to choose the right tools to optimize data processing and system response time in high-traffic applications.

CS Fundamentals

Big O Notation 2026: Mastering Algorithmic Complexity

Big O notation is the language of algorithm efficiency. This guide covers how to analyze time and space complexity, helping you build scalable and performant code for modern technical systems.

CS Fundamentals

Algorithm Complexity 2026: Evaluating Performance Limits

Predicting how your code scales is critical for large-scale systems. We go beyond Big O notation to explore practical performance bottlenecks and optimization strategies for 2026"s technical landscape.

CS Fundamentals

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The same thing, applied to real sites

I am a software engineer and technical SEO consultant. These fundamentals are half the job; the other half is what happens when you apply them to a site with users and traffic to lose.

  • Casos con clics, impresiones y posiciones reales de Search Console
  • Cliente anonimizado en todos: se muestran resultados, nunca identidad
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