- Enhanced main
README.mdwith production deployment section, architecture overview, and operational runbooks. - Updated
docs/README.mdto include new documentation categories for deployment, architecture, monitoring, and security. - Expanded
docs/QUICK_START.mdwith a production deployment quick start guide, including Docker instructions and a readiness checklist. - Fixed
SECURITY.mdcontact email and added comprehensive production security hardening guidelines. - Updated
docs/ORGANIZATION.mdto reflect the new documentation structure.
- New: Production Deployment Documentation
docs/deployment/PRODUCTION_DEPLOYMENT.md: Comprehensive guide for deployment strategies.docs/deployment/DOCKER.md: Specific instructions for Docker-based deployments.docs/deployment/KUBERNETES.md: Guide for Kubernetes orchestration.
- New: Architecture Documentation
docs/architecture/OVERVIEW.md: High-level system architecture and data flow diagrams.
- New: Monitoring & Security Documentation
docs/monitoring/SETUP.md: Guide for setting up logging, metrics, and alerting.docs/security/PRODUCTION_HARDENING.md: Best practices for securing production environments.
- New: Project-Specific Deployment Guides
- Added production deployment sections to all project READMEs:
projects/CrewAI/README.mdprojects/RAG_Model/README.mdprojects/Psychometrics/README.mdprojects/ChatUi/README.mdprojects/litellm/README.mdprojects/terminal_agents/README.mdprojects/ios_chatbot/README.md
- Added production deployment sections to all project READMEs:
- Deleted outdated or duplicate documentation and configuration files across .cloud_sandbox, .codespaces, .devcontainer, and docs directories.
- Removed extraneous Quarto config and auxiliary files now superseded by consolidated structure.
- Renamed and reorganized Jupyter notebooks under the new 'notebooks' directory for clarity.
- Updated changelog and documentation references to reflect new file organization.
- Improved consistency in README, index.qmd, and environment/dependency setup documentation.
- Cleaned up .gitignore to match current project contents and prevent tracking of generated or platform-specific files.
- Minor updates to GitHub workflows and PR templates to support new structure and conventions.
- Overhauled mathematical and explanatory sections for the random forest algorithm in
randomforest.qmd; enhanced with formal model equations, clearer bootstrap sampling explanations, and updated diagrams. - Revised the Quarto/Notebooks project structure to separate theoretical content from hands-on tutorials—enabling streamlined navigation between core concepts and practical walkthroughs.
- Unified environment dependencies across all Quarto documents and notebooks, adding robust setup scripts for reproducibility.
- Improved documentation linking—ensured that all new guides and references are indexed in navigation menus and README files for both accessibility and completeness.
- New: Launched
projects/Psychometrics/README.md— A comprehensive guide and example implementation for the NASA-TLX workload assessment metric, including Python usage walkthrough and statistical analysis details. - New: Added
docs/development/README.md— A guide for development documentation for the repository, with clear guidance on Git protocol, remote Python environments, and development best practices. - New: Added
docs/development/GIT_PROTOCOL_GUIDE.md— A guide for the Git protocol for the repository, with clear guidance on Git protocol, remote Python environments, and development best practices. - New: Added
docs/development/REMOTE_PYTHON_PATHS.md— A guide for the remote Python paths for the repository, with clear guidance on remote Python environments, and development best practices. - New: Added
docs/development/SETUP_GUIDE.md— A guide for the setup for the repository, with clear guidance on setup for the repository. - New: Added
docs/development/TEST_INSTRUCTIONS.md— A guide for the test instructions for the repository, with clear guidance on test instructions for the repository. - New: Added
docs/development/TOOLS_SUMMARY.md— A guide for the tools summary for the repository, with clear guidance on tools summary for the repository.
- Corrected previous path and reference inconsistencies in changelogs, Git protocol documentation, and associated navigation menus.
- Addressed outdated commands and formatting errors in Git workflow documentation; provided updated and tested CLIs and authentication instructions.
- Prevented possible documentation drift by automating file references and ensuring all new materials are reflected in existing indices.
- Resolved minor visual inconsistencies in mathematical notation and figure rendering in Quarto documents.
- Updated
.gitignoreand project settings to prevent accidental inclusion of generated or system files in the repository.
- Added a new Quarto document (
randomforest.qmd) detailing the mathematical foundations and practical application of the random forest algorithm—including model equations, bootstrapping explanations, visualizations, and end-to-end Python code for reproducible training, evaluation, and interpretation. - Implemented an environment setup section in
randomforest.qmdwith robust dependency checking and installation routine. - Expanded Quarto/Notebooks project structure to facilitate clear separation between math/theory and hands-on practical guides for machine learning algorithms.
- Added a comprehensive workflow guide:
docs/GIT_PROTOCOL_GUIDE.md—includes best practices for using both SSH and HTTPS Git protocols, complete with command snippets, security recommendations, and branch management strategies. - Added alternate Markdown version of the Git protocol guide as
docs/GIT_PROTOCOL_GUIDE 2.mdfor compatibility. - NEW: Created
requirements-micro.txt- A lightweight, optimized requirements file with reduced storage footprint while maintaining all critical dependencies. Removed optional packages (jupyterlab, jupyter-contrib-nbextensions, ipywidgets) and duplicates (quarto-cli, pip, importlib-metadata). Usesnotebookinstead of fulljupytermetapackage for minimal Jupyter setup. - NEW: Added NPM support - Created
package.jsonandpackage-lock.jsonwith semantic-release for automated CI/CD release management. Includes 503 NPM packages for development tooling and GitHub Actions workflow integration. - Updated breast cancer dataset example and documentation for clarity; enhanced narrative with explanatory footnotes and statistical justifications in the new Quarto documents.
- Improved project documentation by providing explicit instructions for Python environment setup and notebook/practical reproducibility.
- Applied new documentation standards to changelogs and guides for increased transparency and project maintainability.
- Addressed confusions in environment configuration: clarified recommended dependency installation workflow to mitigate virtual environment corruption.
- Fixed prior documentation referencing errors regarding the location of project notebooks and Quarto docs in various READMEs.
- Ensured all new documentation files are automatically referenced in the appropriate indexes and navigation menus.
- Updated
.gitignorefor consistency with recent changes and future growth of documentation subdirectories.
- Resolved Git repository corruption issues: Fixed corrupted remote references and missing object errors
- Improved repository organization: Moved all macOS resource fork files (._* files) to Xtra_Copies directory
- Repository corruption: Resolved issues with corrupted refs/remotes/origin/gh-pages and missing Git objects
- File organization: Cleaned up macOS metadata files by consolidating them in Xtra_Copies
- Dependency Management: Resolved Python environment corruption caused by disk space exhaustion; recreated virtual environment and reinstalled all dependencies
- Documentation: Fixed Table of Contents overlay issue in index.html by updating Quarto configuration
- Updated .gitignore to ignore macOS resource fork files (._*) and .DS_Store files
- Removed all tracked ._* files from Git repository
- Added project subdirectory
- Added Jupyter notebooks of both pandas and SciKit Learn essentials.
- Added a Quarto document on the essentials underlying the random forest algorithm.
- Added a Quarto document on the random forest algorithm in practice.
- Added a script to render the random forest document to a html and pdf file.
- Added a script to start a preview server for the random forest document.
- Enhanced documentation and structure: Added Quarto document on random forest application, updated CHANGELOG, modified index.html for improved responsiveness, and expanded CrewAI project README with detailed agent swarm descriptions.
-
Added requirements.txt with the following dependencies:
- numpy
- pandas
- seaborn
- matplotlib
- scikit-learn
-
Added .gitignore
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Improved README documentation
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