donnemartin/dev-setup

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.
• डेवलपमेंट एनवायरनमेंट - Scripts and tools for configuring data science development environments.
• Archived Projects - Development environment setup scripts.

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