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Secure Data Science Workspace

The Secure Data Science Desktop on Rocky Linux 8.10 is a pre-configured environment featuring RStudio, JupyterLab, VS Code, PyCharm, Visual Studio 2019, Anaconda, Docker, LibreOffice, and popular ML frameworks like PyTorch, TensorFlow, scikit-learn, PySpark, Vowpal Wabbit. This is designed for data scientists, researchers, and analysts & it delivers a secure, AWS-optimized desktop for R-based development, analytics, and machine learning workflows

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About

Secure Datascience Desktop with Rocky Linux 8

Overview

Amazon Linux 2 (AL2) is an older version, and while Amazon Linux 2023 (AL2023) is available, it does not support Amazon DCV. Due to this limitation, the latest Secure Desktop is provided with Rocky Linux 8, ensuring compatibility and enhanced security for remote desktop environments.

Rocky Linux is a free, open-source operating system designed to be a stable and reliable replacement for CentOS, widely used in enterprise and cloud environments. It is maintained by the community and backed by the Rocky Enterprise Software Foundation.

Key Features

Pre-installed RStudio: Ready-to-use RStudio Server for data analysis and visualization.

Rocky Linux Stability: A community-supported, enterprise-grade Linux distribution with long-term support.

Optimized for AWS: Configured for seamless integration with AWS services like S3, RDS, and IAM.

Secure & Scalable: Includes best practices for security, with SSH access and configurable firewall settings.

JupyterLab for Data Science: Pre-installed JupyterLab for interactive data analysis and machine learning.

Visual Studio Code and PyCharm: Lightweight IDEs pre-installed for Python, R, and general-purpose development.

Visual Studio 2019 Community Edition: Installed for comprehensive software development and debugging.

Authoring Tools Included: VS Code, Visual Studio 2019 CE, PyCharm CE, Jupyter, and JupyterLab for seamless development.

Machine Learning Frameworks: PyTorch, TensorFlow, scikit-learn, PySpark, and Vowpal Wabbit pre-installed for end-to-end ML workflows.

LibreOffice Suite: Installed for document editing, spreadsheets, and presentations.

Docker for Containerized Workloads: Docker and Docker Compose included for running containerized applications.

Anaconda for Python & Data Science: Pre-installed Anaconda for managing Python and R environments.

Technical Details

OS: Rocky Linux version 8.10

Software:

RStudio Server: Version 2024.12.0 with R and essential libraries pre-installed; additional packages available via CRAN

JupyterLab: Installed with Python and R kernels for interactive notebooks

Visual Studio Code & PyCharm CE: Available for lightweight Python/R development

Visual Studio 2019 Community Edition: Full-featured IDE for application development

ML/DS Frameworks: PyTorch, TensorFlow, scikit-learn, PySpark, Vowpal Wabbit

LibreOffice: Full productivity suite for documents, spreadsheets, and presentations

Docker & Docker Compose: Installed for containerized development

Anaconda: Pre-installed for Python and R package management

Instance Types: Supports a range of EC2 instances, from t3.medium for small workloads to compute-optimized and GPU-backed instances for intensive processing.

This Secure Desktop setup is designed for data scientists, analysts, and developers who require a stable, cloud-optimized, and pre-configured environment for statistical computing, machine learning, and software development.

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