PedroGeoGISdev wiki
  • Home
  • Linux OS
    • Linux: concepts
    • Linux: basic concepts
    • Linux: Bash
    • Linux: su and sudo
    • Linux: pipes
    • Linux: File System
    • Linux: Virtual Machines

    • Linux: distros
    • Linux Distros: Ubuntu
    • Linux Distros: Mint
    • Linux Distros: Debian
    • Linux Distros: openSuse
    • Linux Distros: Manjaro
    • Linux Distros: Red Hat Enterprise

    • Linux: laboratories
    • Linux Lab#LI01-1: Choose Linux
    • Linux Lab#LI01-2: Install at least three distributions
    • Linux Lab#LI01-3: Adjust user permissions
    • Linux Lab#LI02-1: Export env user with grep and pipe
    • Linux Lab#LI03-1: Manage users and groups
    • Linux Lab#LI03-2: Manage files
    • Linux Lab#LI03-3: Manage software
    • Linux Lab#LI03-4: Manage hardware
    • Linux Lab#LI04-1: Bash scripting, qtool
    • Linux Lab#LI04-2: Bash scripts as terminal tool
    • Linux Lab#LI04-3: Distribute the terminal app

    • Linux readings
    • Linux Resources
  • DevOps
    • What is DevOps
    • DevOps: Introduction
    • DevOps: Agile and Microservices
    • Infrastructure as code (IaC)
    • Immutable Infrastructure
    • Software Lifecycle

    • Documentation
    • How to document: Quarto and Obsidian

    • Network protocols
    • Network: Basics
    • Network: Client-server
    • Network Protocols
    • Network: DNS
    • Network: API Rest
    • Network: gRPC
    • Network: Websocket
    • Network: SMTP
    • Network: Ping
    • Network: UDP
    • Network: webhook
    • Network: SOAP
    • Network: graphQL

    • Version Control
    • Git
    • GitHub
    • Idea and GitHub 2023
    • Git and GitHub 2023 CLI

    • IDEs
    • IDE: Visual Code
    • IDE: IntellJIdea

    • DevOps tools
    • Amazon Web Services AWS
    • Docker
    • Jenkins pipelines
    • Kubernetes k8s
    • Digital Ocean
    • Nagios
    • Ansible

    • DevOps Laboratories
    • Lab 1: chat App
    • Lab 2: Spring Boot AWS AEB manually
    • Lab 3: Spring Boot and AWS S3 publisher
    • Lab 4: Spring Boot Docker/Jenkins
    • Lab 5: k8s on Digital Ocean
    • Lab 6: Spring Boot AWS codecommit

    • DevOps readings
    • DevOps Resources
  • MarkUp
    • MarkUp Languages
    • Introduction Markup
    • HTML Markup
    • Markdown Markup
    • Markdown and HTML working together, good idea?

    • Quarto Markdown
    • Quarto Markdown: basics
    • Quarto Markdown: creating
    • Quarto Markdown: publishing
    • Quarto Markdown: code & data
    • Quarto Markdown: api rest call
    • Quarto Markdown: OJS Cells
    • Quarto Markdown: cheat-sheet

    • Styling: CSS
    • Cascade Style Sheet
    • Cascade Style Sheet: Box Model and Containers
    • CSS: W3.css

    • MarkUp Languages Laboratories
    • Lab#MD01-1: Create and publish by Quarto

    • MarkUp Languages readings
    • MarkUp Languages Resources
  • Java SE
    • What is Java SE
    • Java Standard Edition: Basics
    • Java Standard Edition: Principles
    • Java MOOC Helsinki
    • Java MOOC Helsinki Syllabus

    • Java Create Project
    • Java SE: Maven
    • Java SE: Create Maven Project
    • Java SE: Project push GitHub
    • Java SE: JUnit and TDD

    • Java Concepts
    • Java SE: Class and Objects
    • Java SE: Scope
    • Java SE: static modifier
    • Java SE: Coupling and DDD
    • Java SE: Packages
    • Java SE: Abstract/Interface
    • Java SE: Java 8

    • Java Principles
    • Java SE: Encapsulation
    • Java SE: Abstraction
    • Java SE: Inherence
    • Java SE: Polymorphism

    • Java Design Patterns
    • Java Patterns: UML
    • Java Patterns: Types
    • Singleton
    • Factory
    • Abstract Factory
    • Builder
    • Facade
    • Bridge
    • Decorator
    • Composite
    • Observer
    • Strategy
    • State
    • Commander

    • Java SE Laboratories
    • Lab#SE00-1: Maven Person
    • Lab#SE00-2: Maven Clinic
    • Lab#SE00-3: Library Model
    • Lab#SE00-4: Abstract/Interface Human
    • Lab#SE01-1: Maven/Gradle Person and Account
    • Lab#SE01-2: Maven/Gradle Person and Account stored in JSON
    • Lab#SE02-1: Movie/Review, Model
    • Lab#SE02-2: Movie/Review, CRUD Operations
    • Lab#SE02-3: Movie/Review, factory
    • Lab#SE02-4: Movie/Review, interactivity and coupling
    • Lab#SE02-5: Movie/Review, simulate interactivity by console
    • Lab#SE03-1: Library/Book, Core-Model
    • Lab#SE03-2: Library/Book, Sprint Zero
    • Lab#SE03-3: Library/Book, Expand Model
    • Lab#SE04-1: healthyFood Restaurant, Core Model

    • Java SE readings
    • Java SE Resources
  • Python
    • Python Basics
    • Python: Basic Concepts
    • Python: Tips
  • JavaScript
    • JavaScript Basics
    • JavaScript: Basic Concepts
    • JavaScript: Tips
  • Spring
    • Spring Legacy
    • Spring Framework
    • Spring MVC
    • Springs Servlets

    • Spring Boot Basics
    • Spring Boot: fundamentals
    • Spring Boot: create a Project
    • Spring Boot: H2 DB and Thymeleaf
    • Spring Boot: cycle

    • Spring Boot Concepts
    • Spring Boot: Dependency Injection
    • Spring Boot: Annotations
    • Spring Boot: Controller
    • Spring Boot: View
    • Spring Boot: Thymeleaf
    • Spring Boot: Vaadin Flow
    • Spring Boot: Vaadin Hilla
    • Spring Boot: Model
    • Spring Boot: Rest
    • Spring Boot: Data & DB
    • Spring Boot: JPA & DI
    • Spring Boot: JPA Mappings
    • Spring Boot: JPA Relationships
    • Spring Boot: JPA Queries
    • Spring Boot: JPA Inherence
    • Spring Boot: Scaling

    • Spring Boot Laboratories
    • Lab#SB00-1: Library UML
    • Lab#SB00-2: CRUD User
    • Lab#SB00-3: LibraryManagement
    • Lab#SB00-4: API Rest
    • Lab#SB00-5: Rest & JPA-H2
    • Lab#SB00-6: Rest & MongoDB
    • Lab#SB00-7: Styling
    • Lab#SB01-1: DataBase
    • Lab#SB02-1: JPA Relationships
    • Lab#SB03-1: APIs & cloud
    • Lab#SB04-1: JPA Inherence
    • Lab#SB05-1: API Rest
    • Lab#SB06-1: employeeCourse
    • Lab#SB07-1: monitor Book
    • Lab#SB08-1: Restaurant UML
    • Lab#SB08-2: Vaadin
    • Lab#SB08-3: H2 and API Rest
    • Lab#SB08-4: JPA
    • Lab#SB08-5: Test API Rest
    • Lab#SB09-1: SpringIO Conference

    • Spring Boot readings
    • Spring Boot Resources
  • ReactJS
    • ReactJS: Principles
    • React JS: Introduction
    • React JS: render virtual DOM
    • React JS: Create a React project
    • React JS: Components
    • React JS: JSX
    • React JS: props and state

    • JavaScript: web scripting
    • JavaScript: basics
    • JavaScript: functions
    • JavaScript: objects
    • JavaScript: variables
    • JavaScript: flux control

    • ES6: ECMAScript 6
    • React JS ES6: arrow functions
    • React JS ES6: import modules
    • React JS ES6: array, data and key
    • React JS ES6: destructuring
    • React JS ES6: spread operator

    • ReacJS 18: Hooks
    • React JS: Rules of Hooks
    • ReactJS: useState
    • React JS: useReducer
    • React JS: useRef
    • React JS: useEffect
    • React JS: useContext
    • ReactJS: useMemo
    • ReactJS: custom hooks

    • ReactJS: Designing an App
    • React JS App: async
    • React JS App: events
    • React JS App: router
    • React JS App: conditional render
    • React JS App: styling

    • React JS: Laboratories
    • Lab#RE01-1: API Rest Axios
    • Lab#RE02-1: Router & Hooks
    • Lab#RE03-1: to-do app
    • Lab#RE03-2: HighCharts
    • Lab#RE03-3: API Rest Mono
    • Lab#RE03-4: API Rest Domains
    • Lab#RE03-5: data management
    • Lab#RE04-1: todo & server
    • Lab#RE04-2: Spring Boot & ReactJS
    • Lab#RE05-1: chat & websockets
    • Lab#RE05-2: chat: backend
    • Lab#RE05-3: chat & AWS
    • Lab#RE05-4: chat: test ws AWS
    • Lab#RE05-5: chat & front
    • Lab#RE05-6: chat & ws: front
    • Lab#RE06-1: healthyFood Restaurant
    • Lab#RE06-1-PR: create a pull request
    • Lab#RE07-1: traffic lights simulation

    • React JS readings
    • ReactJS Resources
  • Learning
    • Vocabulary
    • General Vocabulary
    • SCRUM Vocabulary
    • DevOps Vocabulary
    • Java SE Vocabulay
    • Spring Boot Vocabulary
    • DataBase Vocabulary
    • ReactJS Vocabulary
    • Web Vocabulary

    • Learning
    • Useful Questions
    • Learning: tips
    • Writing
    • Taking Notes
    • Comments
    • Document
    • Auto-Evaluate

    • Books & Articles
    • Books
    • Articles

    • What is SCRUM
    • SCRUM Agile Methodology
    • Agile Manifesto & Values
    • SCRUM Guide

    • Scrum Steps
    • Meetings, Impediments and Iterations
    • User stories, Tasks and Habits
    • Delivering Value & Communication
    • ScrumMaster, how it works
    • Mindset, the key to everything
    • Product Owner, how it works
    • Managing Time & Mind
    • Team & the Specialist
    • Albertus’ Dilemma
    • Before SCRUM
    • Team Dynamics
    • Emotions and Thoughts
    • Decision Making and Intuition
    • Beyond SCRUM
    • Balances, atmosphere and tools

    • Resources
    • SCRUM Resources
  • QGIS
    • QGIS basics
    • QGIS: basic concepts

    • QGIS laboratories
    • QGIS Laboratory 1: Introduction to Open Source GIS
  • ArcGIS Pro
    • ArcGIS Pro basics
    • ArcGIS Pro: basic concepts

    • ArcGIS Pro laboratories
    • ArcGIS Pro Laboratory 1: Getting Started
  • Bookmarks
    • Online Resources
    • Online Resources
  • About
    • About me and this site
    • About me
    • About this site
    • About images credit
  • Email
  • GitHub
  • LinkedIn
  1. Linux: laboratories
  2. Linux Lab#LI04-3: Distribute the terminal app
  • Linux OS

  • Linux: concepts
    • Linux: basic concepts
    • Linux: Bash
    • Linux: su and sudo
    • Linux: pipes
    • Linux: File System
    • Linux: Virtual Machines

  • Linux: distros
    • Linux Distros: Ubuntu
    • Linux Distros: Mint
    • Linux Distros: Debian
    • Linux Distros: openSuse
    • Linux Distros: Manjaro
    • Linux Distros: Red Hat Enterprise

  • Linux: laboratories
    • Linux Lab#LI01-1: Choose Linux
    • Linux Lab#LI01-2: Install at least three distributions
    • Linux Lab#LI01-3: Adjust user permissions
    • Linux Lab#LI02-1: Export env user with grep and pipe
    • Linux Lab#LI03-1: Manage users and groups
    • Linux Lab#LI03-2: Manage files
    • Linux Lab#LI03-3: Manage software
    • Linux Lab#LI03-4: Manage hardware
    • Linux Lab#LI04-1: Bash scripting, qtool
    • Linux Lab#LI04-2: Bash scripts as terminal tool
    • Linux Lab#LI04-3: Distribute the terminal app

  • Linux readings
    • Linux Resources

On this page

  • 1 Solving discussion
  • Edit this page
  • Report an issue
  1. Linux: laboratories
  2. Linux Lab#LI04-3: Distribute the terminal app

Linux Lab#LI04-3: Distribute the terminal app

Lab

linux
lab
bash
app-distribution
lab
Author

albertprofe

Published

Tuesday, June 1, 2021

Modified

Sunday, August 10, 2025

📘 Linux Lab#LI04-2: Distribute the terminal app

To create a terminal app using bash scripts, you will need to (from Lab#LI04-1 and Lab#LI04-2):

  1. Make the app available for others to use, either by distributing it as a package (such as a .deb or .rpm file) or by hosting it on a website or repository.
  2. Provide documentation and usage instructions for the app, so that users know how to use it effectively.

1 Solving discussion

There are several ways to distribute a Linux bash script, including using apt-get, snap, and zipping the script and distributing it that way. Here are some options:

  1. apt-get: This is a package manager for Debian-based systems. You can create a package with your bash script and distribute it using apt-get. This option is suitable if you want to distribute your script to a large number of users.
  2. snap: Snap is a universal Linux package manager that allows you to distribute your bash script as a snap package. This option is suitable if you want to distribute your script to users on different Linux distributions.
  3. Zip file: You can zip your bash script and distribute it as a zip file. This is a simple option that is suitable for distributing your script to a small number of users.
  4. Github: You can host your bash script on Github and share the link with your users. This option is suitable if you want to allow your users to easily download and update your script.
  5. Website: You can host your bash script on a website and provide a link for users to download it. This option is suitable if you want to make your script easily accessible to a large number of users.
  6. Visual Code Extension: you can create an extension for Visual Code from your Linux bash script and upload to the marketplace. once your extension is published, users can install it by searching for it in the Visual Studio Code Extension Marketplace or by using the code –install-extension ext-name command in the terminal.

from gitHub actions we may publish

from gitHub actions we may publish
Back to top
Linux Lab#LI04-2: Bash scripts as terminal tool

This website is built with Quarto.

Difficulties are just things to overcome, after all. Ernest Shackleton

  • Edit this page
  • Report an issue