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Copy file name to clipboardExpand all lines: README.md
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@@ -16,25 +16,35 @@ Welcome to **SpectrumOfPython**, a dynamic and colorful collection of Python pro
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## ๐ Project Categories
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Below are the categories of projects in this repository. Each category contains projects of varying difficulty levels. Feel free to explore and contribute!
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1.**๐ฎ Games**
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- Fun interactive games that demonstrate Python's capabilities.
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- Examples: Tic-Tac-Toe, Snake Game, etc.
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2.**โ๏ธ Utilities**
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- Useful scripts that can aid in daily tasks or improve productivity.
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- Examples: File organizer, To-do list app, etc.
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1.โ๏ธ **Automation Alchemy** โจ
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๐ Transform mundane tasks into seamless processes with these automation scripts.
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๐งฐ This folder contains Python scripts that help in automating various repetitive tasks, enhancing productivity and efficiency.
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3.**๐ Data Analysis**
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- Projects showcasing data manipulation and visualization.
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- Examples: Data visualizer, CSV file manipulator, etc.
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2. ๐ **Data Doodles** ๐
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๐ Dive into the world of data with projects that explore, analyze, and visualize datasets.
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๐ก Perfect for those looking to polish their data manipulation skills using libraries like `pandas` and `matplotlib`.
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3. ๐ฎ **Game Galore** ๐น๏ธ
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๐ง A fun collection of Python-based games!
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๐ฒ From simple text-based games to more interactive experiences, this folder is for anyone interested in game development with Python.
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4. ๐ ๏ธ **Utility Unleashed** ๐ง
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๐๏ธ A range of utility scripts that solve everyday problems and enhance the Python experience.
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๐ This folder includes practical tools and utilities that can be easily adapted to various use cases.
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4.**๐ Web Development**
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- Simple web applications built using Python frameworks.
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- Examples: Flask blog, Django portfolio, etc.
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5. ๐ **Web Wonders** ๐ป
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๐ฅ๏ธ Explore the power of Python in web development through projects that utilize frameworks like `Django` and `Flask`.
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๐ Ideal for those wanting to build web applications and services.
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5.**๐ค Machine Learning**
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- Introductory projects on machine learning concepts and implementations.
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- Examples: Iris dataset classifier, simple recommendation system, etc.
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