Computer Science

Computer Science

In this section, we explore the world of programming, algorithms, networks, and infrastructure

ProgrammingAlgorithmsComputer NetworksTechnologyInfrastructureSoftware EngineeringHardware Engineering

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مقالات منتخب

Numbers and Variables in Python: Definitions

Variables and data types play .....

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Introduction to the Linux Command Line

Command Line

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Linux commands for system administrators

Linux commands for system administrators

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Introduction to Computer Networking, Architectures, and Topologies

A network connects computers and devices for sharing resources like data, software, printers, and internet. This article explores LAN, WAN, and other types of networks, key components like servers and hosts, P2P and client-server architectures, diverse topologies including star and mesh, virtual networking, and the concept of backbone and network segments. Understanding these fundamentals is essential for designing secure and scalable systems, and also helps with Network+ certification prep.

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Introduction to Comparison and Logical Operators in Python

Python offers powerful and intuitive tools for decision-making through comparison and logical operators. Comparison operators test relationships between values, while logical operators help combine multiple conditions. This article covers essential operators like <, >, ==, and, or, and not — using clear examples to illustrate how they’re applied in everyday programming tasks.

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Conditional Structures: if and if-else in Python

In Python, conditional statements like if and if-else are fundamental tools for controlling the flow of a program. They allow the program to make decisions based on specified conditions. This article introduces the syntax and usage of if, if-else, and if-elif-else, with practical examples tailored for beginner and intermediate learners.

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Loops, Iterators, and Repetition Control in Python

Loops, Iterators, and Repetition Control in Python

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Comprehensive Guide to Functions in Python: Structure, Types, and Use Cases

Functions in Python are essential building blocks for writing modular, reusable, and maintainable code. This article introduces function definitions, distinguishes between built-in and user-defined functions, explores parameters and return values, and presents advanced topics such as recursion and lambda expressions. Whether you're a beginner or brushing up for interviews, this guide offers a clear and accessible foundation.

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Complete Guide to Getting Text Input from Users in Python

In Python, accepting input from users is one of the simplest yet most powerful features for interactive programming. This article explores the input() function in depth, explains how to cast types, validate user data, and use input within loops and conditions. Real-life examples help clarify each concept, making this guide perfect for beginners and intermediate learners.

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Several example codes

understand the Python programming language

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Comprehensive Guide to Python Classes – Object-Oriented Design, Structure, Inheritance, and Practical Use

Classes in Python are the foundation of object-oriented programming, allowing developers to define complex data structures, encapsulate logic, and create scalable, maintainable systems. This article walks through the fundamentals of defining classes, constructors, methods, inheritance, encapsulation, and real-world applications in Python projects.

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Complete Guide to Python Decorators – Enhancing Function Behavior with Reusable Logic

Decorators in Python are a powerful tool for modifying or extending the behavior of functions and classes without changing their original code. They allow developers to implement reusable logic such as logging, authentication, caching, or timing in a clean and maintainable way. This article explores the structure, definition, common use cases, and practical examples of decorators in Python.

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Computer Science | Dr. Shahin Siami