donnemartin/dev-setup
Dev Setup
Este proyecto es una colección de scripts y archivos de configuración diseñados para automatizar el despliegue de conjuntos de herramientas para desarrolladores, herramientas de big data y dotfiles a nivel de sistema. Sirve como un sistema de aprovisionamiento para instalar lenguajes, herramientas de análisis de datos y dependencias del sistema a través de diversos stacks de programación.
La suite proporciona automatización especializada para el onboarding de desarrolladores en macOS y la configuración de flujos de trabajo de ciencia de datos en Python. Incluye instaladores dedicados para motores de procesamiento distribuido como Spark y Hadoop, así como entornos para desarrollo web y móvil.
El sistema cubre un amplio rango de capacidades, incluyendo personalización del entorno shell, configuración de editores de texto y control de versiones, y la gestión de entornos virtuales aislados. También proporciona una variedad de utilidades de línea de comandos para gestión de archivos, búsquedas de red y orquestación de dependencias del sistema.
Features
- macOS Development Environments - Automates the installation of system tools, package managers, and OS settings for macOS developer onboarding.
- Remote Configuration Synchronization - Synchronizes shell, editor, and version control configurations from a remote repository to the local home directory.
- Provisioning Scripts - Automates the installation of developer tools and system settings using executable shell scripts for environment setup.
- Infrastructure Setup - Automates the installation and configuration of cloud infrastructure and distributed processing engines for large datasets.
- Environment Setup - Provides automated installation and configuration of distributed processing engines like Spark and Hadoop.
- Installation Scripts - Ships a set of configuration guides and scripts for deploying Spark and Hadoop on local machines.
- Provisioning Utilities - Provides automated installers and configuration scripts for distributed processing engines like Spark and Hadoop.
- Code Formatting Utilities - Standardizes code formatting rules for character encoding, line endings, and indentation.
- Command Line Package Managers - Coordinates the installation of system dependencies and third-party applications through a centralized command line package manager.
- Custom Command Sourcing - Provides a mechanism for sourcing additional custom commands or overrides via local files.
- Development Environment Provisioners - Provides an automation system for installing languages, data analysis tools, and system dependencies across diverse stacks.
- Developer Toolset Deployments - Deploys specialized software stacks across domains including data analysis, web development, and mobile tools.
- Development Environment Suites - Installs and configures a suite of specialized development environments for various programming languages.
- Git Configuration - Defines custom command aliases and global settings to streamline version control workflows.
- Dotfile Symlinking - Synchronizes tool settings across machines by mapping remote repository configuration files to local home directory paths.
- Package Manager Installers - Installs and updates common applications and libraries using system package managers to make them available on the command line.
- Private Alias Injections - Loads local private files to add custom aliases without modifying the primary configuration.
- Python Environment Managers - Manages isolated virtual environments and package managers to handle dependencies for data science libraries.
- Setup Automation Scripts - Provides automated scripts for bootstrapping a macOS workstation and linking system configurations during onboarding.
- System Dependency Managers - Automates the installation and configuration of required system-level software and operating system updates.
- Shell Interaction Optimizations - Enhances shell interaction with case-insensitive autocomplete and intelligent history searching.
- Shell Initialization Engines - Provides a mechanism to orchestrate the loading and sourcing of discrete configuration files during shell startup.
- Text Editor Configurations - Defines default behaviors for terminal editors, including visual themes, indentation, and clipboard integration.
- Dotfile Collections - Collects configuration files and scripts to synchronize text editor, version control, and system settings across machines.
- Shell Environment Configurations - Sets global environment variables for default editors, language locales, and tool behaviors.
- Data Science Workflow Automations - Sets up isolated virtual environments and specialized libraries to manage dependencies for data analysis and scientific computing.
- OS Preference Defaults - Adjusts system-level preferences and OS defaults to optimize the software development environment.
- Virtual Environments - Creates isolated Python virtual environments and wrappers to manage dependencies for data analysis workflows.
- Local Data Stores - Automates the installation and configuration of local database systems and search engines.
- Environment Provisioning - Automates the setup of standard packages and configurations for isolated language-specific development environments.
- Language Environment Provisioning - Provisions the necessary software stacks and language environments for JavaScript web and Android mobile applications.
- Virtual Environment Isolation - Creates dedicated Python runtime spaces and wrappers to prevent dependency conflicts between different data analysis projects.
- Entorno de desarrollo - Scripts and tools for configuring data science development environments.
- Archived Projects - Development environment setup scripts.
