Instructions to set up

100%

Instructions to set up

✓ Published0🌍 Public

Last edited Jan 2, 2016

Created on Jan 2, 2016

This example shows a step-by-step guide for setting up a Jekyll blog, from installing required gems to pushing the final build to a GitHub repository. It demonstrates a command-line workflow using `gem install`, `bundle install`, and `bundle exec jekyll build`, with plain-text instructions and code blocks. The visualization relies on a gist authored by Jverma, presenting the setup as a linear sequence of terminal commands and file actions. It does not use any charting or rendering libraries, focusing instead on a textual, procedural format.

AI-generated description

Similar vizzes

Loading thumbnail…

A template to make good README.md

This example presents a markdown template designed for creating standardized project documentation, specifically a README file. It demonstrates the structure and conventional sections that should be included, such as prerequisites, installation instructions, and test-running procedures. The template is a plain text file that serves as a guide, and its rendering in a gallery context would highlight the logical flow and formatting conventions. The code provides a clear, pre-defined framework that users can copy and adapt for their own projects.

JJastor11

58% match

Loading thumbnail…

Gist 96829331ffd980ee6a4f3ab1196708f1

This visualization presents a structured Git cheat sheet, organizing commands into clear categories like configuration, local and remote branch management, and advanced operations. It demonstrates a comprehensive set of command-line workflows, including branching, merging, stashing, and comparing changes, each paired with practical usage examples. The rendering relies on standard Markdown code blocks and inline formatting to distinguish commands, comments, and options, providing a reference-style layout rather than a data-driven graphic.

JJaxonDvl

58% match

Loading thumbnail…

Gist 4c5c3a03de2d3fea691e3fc9b4995d84

This example demonstrates a step-by-step guide for installing Omeka on an AWS Lightsail instance, showing the process from logging in to connecting to the instance’s IP address. The instructions use a launch script fetched from a GitHub gist, which likely employs shell commands to automate the setup. The code relies on the AWS Lightsail web console for instance creation and the `curl` or similar command-line tool to retrieve the configuration script, though the exact libraries are not explicitly named. The visualization is textual, focusing on procedural clarity rather than graphical data, with the data source being the gist’s raw text file.

CCliffordAnderson

56% match

Loading thumbnail…

Gist 39225

This visualization presents a server-stack installation script, not a typical data-driven graphic. It maps the procedural flow of an unattended Bash deployment of Ruby Enterprise and the Passenger Apache module, tracing each command and conditional branch as a node in a directed graph. The code uses a custom layout to arrange the script’s logic, with nodes representing commands like `sudo apt-get install` and `gem install`, while edges show the sequence and decision points (e.g., `if [ -e $REEF ]`). The rendering approach highlights the script’s structure, with color coding for installation steps versus error-handling exits, and the data source is the literal Bash code itself, parsed to extract control flow.

DDylanFM

55% match

Loading thumbnail…

Gist 74fe605a7286aaa4f524

This example demonstrates a command-line and file-management reference guide, showing terminal commands for Windows cmd, Putty, and Meteor.js setup alongside a simple to-do list app creation workflow. The visualization presents the commands and directory structures as a static educational cheat sheet, using plain text and formatting to organize the information. No JavaScript libraries or data APIs are employed; the content is rendered directly from the gist’s source code. The data source is the textual documentation authored by Darius9, displaying commands like `cd`, `rm -rf`, and `meteor create` without interactive behavior.

DDarius9

55% match

Loading thumbnail…

SSH Brew Setup

This example visualizes the SSHpass formula setup process, showing the sequence of build and installation steps for a Homebrew package. The visualization uses a direct graph representation, where nodes correspond to the formula’s Ruby methods (`install`, `test`, and the implicit `require`), and edges depict the control flow from the formula class definition to the system commands. The data source is the Ruby source file `sshpass.rb`, which contains the formula’s URL, SHA256 checksum, and custom build logic. The rendering relies on a custom layout algorithm, likely using D3’s force simulation to position nodes and SVG paths for the edges, highlighting the dependency between the configuration script and the `make install` step.

AAnsonT

55% match

Loading thumbnail…

overall workflow

This example demonstrates the development workflow for creating and publishing interactive data visualizations. It uses a starter template with custom D3.js and lodash utilities, and shows how to generate random data, draw axes, and render circles with tooltips. The code includes a build process with command-line tools like `degit`, `hot-server`, `gistsnap`, and `gistup` for scaffolding, local previewing, screenshotting, and publishing to bl.ocks. The visualization itself is rendered as an SVG with a scatterplot of randomized points.

11wheel

54% match

Loading thumbnail…

uso de GIST desde la terminal con $ temux

This visualization demonstrates how to use GitHub CLI from a terminal to create and manage gists, with a focus on integrating `gh` into `tmux` workflows. It shows the process of installing `gh` on Ubuntu Server ARM64 and Termux, authenticating via `gh auth login`, and creating a private gist with `gh gist create`. The example includes a `tmux` configuration that binds custom key sequences (CTRL+1 through CTRL+5) to compile, run, debug, upload, and record assembly code. The code uses shell commands like `as`, `ld`, `gdb`, and `asciinema`, along with the `gh` API for gist creation.

IIoTeacher

54% match