Snippets

Welcome to the Snippets section! Here, you'll find a collection of useful comparisons, code snippets, and resources to help you in your coding journey. Whether you're a Python enthusiast, an R aficionado, or working with SQL Server, we've got you covered.

📁 Project Structure

📁 snippets/
├── 📁 docs/                          # Website configuration and assets
│   ├── _quarto.yml                   # Main Quarto configuration
│   ├── index.qmd                     # Homepage
│   ├── theme.scss & theme-dark.scss  # Website themes
│   ├── include-files.lua             # Quarto filter
│   └── 📁 assets/
│       └── 📁 images/                # Website images and logos
├── 📁 content/                       # All content files
│   ├── 📁 tutorials/                 # Learning tutorials
│   │   ├── 📁 python/                # Python basics
│   │   ├── 📁 numpy/                 # NumPy crash course
│   │   ├── 📁 pandas/                # Pandas crash course
│   │   └── 📁 matplotlib/            # Matplotlib crash course
│   ├── 📁 snippets/                  # Code snippets by language
│   │   ├── 📁 python/                # Python snippets
│   │   ├── 📁 r/                     # R snippets
│   │   ├── 📁 sql-server/            # SQL Server snippets
│   │   ├── 📁 git/                   # Git utilities
│   │   └── 📁 chatgpt/               # AI-related content
│   ├── 📁 comparisons/               # Technology comparisons
│   ├── 📁 machine-learning/          # ML concepts and models
│   └── 📁 utils/                     # Utilities and best practices
├── 📁 _site/                         # Generated website (auto-generated)
├── LICENSE
├── README.md
└── .gitignore

🔍 Content Overview

📊 Comparisons

• PL/SQL vs. DB2: Database technology comparison
• dplyr vs. pandas: Data manipulation tools comparison
• ggplot2 vs. matplotlib: Data visualization libraries comparison

🐍 Python Snippets

• Environment Setup: Python environment configuration
• Graphs: Data visualization techniques
• Modeling: Machine learning and statistical modeling
• Statistics: Statistical analysis with Python
• Code Optimization: Performance optimization tips
• Utilities: Helpful Python utilities
• REST API: Working with REST APIs
• Jupyter Notebooks: Notebook best practices

📊 R Snippets

• dplyr: Data manipulation with dplyr
• ggplot2: Data visualization with ggplot2
• gganimate: Animated visualizations
• Database Operations: Working with databases in R
• Package Creation: Building R packages

💾 SQL Server Snippets

• Permissions: SQL Server security
• Synonyms: Object aliasing

🚀 Git Utilities

• GitLab to GitHub Sync: Repository synchronization

📚 Tutorials

• Python Basics: Exercise 1 - Python
• NumPy: Complete crash course from arrays to operations
• Pandas: Comprehensive data manipulation tutorials
• Matplotlib: Data visualization fundamentals

🤖 Machine Learning

• Transformer Models: Understanding transformer architecture

🛠️ Utilities

• Project Structure: Best practices for organizing projects

🌐 Website

This website is powered by Quarto and is hosted at Snippets.

Development

To work with this project locally:

1. Install Quarto
2. Clone the repository
3. Navigate to the project directory
4. Run quarto preview to start the development server
5. Run quarto render to build the website

Contributing

You can contribute or explore the repository at GitHub.

Happy coding and exploring! 🚀

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📝 License

This project is open source and available under the License.