Programming

Programming is the process of designing and building an executable computer program to accomplish a specific computing result. It involves tasks such as analysis, generating algorithms, profiling algorithms’ accuracy and resource consumption, and the implementation of algorithms in a chosen programming language (coding). The field of programming spans many languages and technologies, forming the backbone of software development and information technology.

GitHub: https://github.com/topics/programming
Wikipedia: https://en.wikipedia.org/wiki/Computer_programming
Created by: Programmers
Related Topics: coding, software-development, algorithms, data-structures, computer-science,
Aliases: software-programming,
Last updated: 2026-01-16 00:25:54 UTC
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https://github.com/namensenn/coding-practice-32-car

CodeVerse - Learn coding with tutorials, solutions, and answers to real-world problems. Master web development, DSA, projects, and interview prep. 🚀

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A simple user management console application built with C# and .NET. This project includes features like user registration, listing, searching, and deletion.

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https://github.com/razor-gayman/roblox-krampus

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https://github.com/exp-codes/winprocess

Windows 系统进程管理器

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📊 Analyze data efficiently using Python’s top libraries. Learn to explore, clean, and visualize data for meaningful insights in your projects.

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https://github.com/silentpuck/silentcheatsheets

Multilingual cheat sheets for C, C++ and Assembly. Fast references, code snippets and examples in EN / RU / ES. Synchronized with YouTube Shorts by SilentPuck 🕶️

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https://github.com/swann126/comptia-free-tutorials

📚 Master CompTIA certifications with free tutorials and hands-on labs designed for beginners to build essential IT skills for professional success.

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https://github.com/tui00/Telegram-bots

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This course offers a solid foundation in Bash shell scripting, covering Linux command-line essentials. Through hands-on labs and real-world challenges, you'll master file management, text processing, and automation techniques, enabling you to efficiently use the shell in your daily tasks.

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https://github.com/skyrocketstan/learning_go_by_example

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This comprehensive course covers the fundamental concepts and practical techniques of Scikit-learn, the essential machine learning library in Python. Learn to build, train, and evaluate machine learning models using various algorithms and preprocessing techniques.

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https://github.com/labex-labs/matplotlib-for-beginners

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Learn the fundamentals of React from setting up your first app to building interactive components. Master essential React concepts through hands-on labs covering components, JSX, props, state, hooks, event handling, conditional rendering, lists, and forms.

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https://github.com/maumneto/introductioncomputerscience

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