https://github.com/joshuamichaelhall-tech/software-engineering-reference
A centralized knowledge repository for mastery-based software engineering, featuring categorized resources on Ruby, Python, JavaScript, data analysis, and terminal-centric workflows. Includes best practices, algorithms, patterns, and career development materials to support deliberate skill advancement and technical excellence.
https://github.com/joshuamichaelhall-tech/software-engineering-reference
debugging-techniques git-github javascript learning-resources mastery-based-learning mouseless-development neovim network-concepts pedac-framework problem-solving programming-reference python ruby software-engineering sql-databases study-methods terminal-workflow tmux zsh
Last synced: 9 months ago
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A centralized knowledge repository for mastery-based software engineering, featuring categorized resources on Ruby, Python, JavaScript, data analysis, and terminal-centric workflows. Includes best practices, algorithms, patterns, and career development materials to support deliberate skill advancement and technical excellence.
- Host: GitHub
- URL: https://github.com/joshuamichaelhall-tech/software-engineering-reference
- Owner: JoshuaMichaelHall-Tech
- License: mit
- Created: 2025-03-27T17:01:00.000Z (9 months ago)
- Default Branch: main
- Last Pushed: 2025-04-05T07:25:37.000Z (9 months ago)
- Last Synced: 2025-04-05T08:25:55.288Z (9 months ago)
- Topics: debugging-techniques, git-github, javascript, learning-resources, mastery-based-learning, mouseless-development, neovim, network-concepts, pedac-framework, problem-solving, programming-reference, python, ruby, software-engineering, sql-databases, study-methods, terminal-workflow, tmux, zsh
- Language: CSS
- Homepage:
- Size: 2.71 MB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE.md
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README
# Software Engineering Reference
## Overview
This repository serves as a centralized knowledge base for software engineering concepts, best practices, algorithms, design patterns, and career development resources. It supports my mastery-based learning approach by providing structured reference materials across multiple domains of software engineering.
## Purpose
The primary purposes of this repository are:
1. Consolidate learning across multiple programming languages and paradigms
2. Document best practices and design patterns for reference
3. Create a searchable knowledge base for technical concepts
4. Support career development with comprehensive resources
5. Maintain reference materials for interviews and technical discussions
6. Facilitate knowledge transfer between different technology stacks
## Contents
### Programming Languages
- **Ruby**: Syntax, idioms, metaprogramming, performance optimization
- **Python**: Language features, libraries, data analysis, machine learning
- **JavaScript**: Modern JS, functional programming, async patterns
- **TypeScript**: Type system, interfaces, advanced types
- **SQL**: Query optimization, database design, indexing strategies
### Data Structures & Algorithms
- Fundamental data structures with implementations
- Algorithm analysis and complexity
- Common algorithm patterns and techniques
- Problem-solving strategies
- Interview preparation materials
### Software Design
- Object-oriented design principles
- Functional programming concepts
- Design patterns with examples
- Architecture patterns and strategies
- System design considerations
### Development Practices
- Terminal-centric workflow techniques
- Git workflows and advanced commands
- Test-driven development strategies
- Code review best practices
- Documentation standards
### Tools & Environments
- Neovim configuration and plugins
- tmux setup and usage patterns
- Shell scripting techniques
- Build tools and automation
- Development environment optimization
### Career Development
- Technical interview preparation
- Resume and portfolio development
- Salary negotiation resources
- Career progression planning
- Professional networking strategies
## Organization
Resources are organized by:
- Topic (language, concept, tool)
- Complexity level (beginner, intermediate, advanced)
- Application domain (web, data, systems)
- Resource type (cheatsheet, tutorial, reference)
## Usage
Each reference includes:
- Concise explanations of concepts
- Practical code examples
- Context for when and how to apply
- Common pitfalls and edge cases
- Links to additional resources
## Related Repositories
- [launch-school-coursework](https://github.com/joshuamichaelhall/launch-school-coursework): Main repository for Launch School curriculum work
- [learning-roadmap](https://github.com/joshuamichaelhall/learning-roadmap): Documentation of learning journey and plans
- [terminal-setup](https://github.com/joshuamichaelhall/terminal-setup): Development environment configuration
- [ruby-fundamentals](https://github.com/joshuamichaelhall/ruby-fundamentals): Ruby programming concepts and exercises
- [python-fundamentals](https://github.com/joshuamichaelhall/python-fundamentals): Python programming concepts and exercises
- [js-fundamentals](https://github.com/joshuamichaelhall/js-fundamentals): JavaScript programming concepts and exercises
- [python-data-analysis](https://github.com/joshuamichaelhall/python-data-analysis): Data analysis projects using Python
## Acknowledgements
This project was developed with assistance from Anthropic's Claude AI assistant, which helped with:
- Documentation writing and organization
- Code structure suggestions
- Troubleshooting and debugging assistance
Claude was used as a development aid while all final implementation decisions and code review were performed by the human developer.
## License
This repository is available under the MIT License. See the LICENSE file for details.