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algorithmvisualizer

Algorithm Visualizer

awesome-remote-job

A curated list of awesome remote jobs and resources. Inspired by https://github.com/vinta/awesome-python

bento

Packer templates for building minimal Vagrant baseboxes

best-practices

books

bookshelf

Build a ReactJS App workshop

botkit

Botkit is a toolkit for making bot applications

connect-flash

Flash message middleware for Connect and Express.

consul

consul-demo

A demo for consul

docker-nginx-consul

docker-nomad

Dockerized Nomad agent

docker-sinopia

Docker image of Sinopia

docker-sonarqube

:whale: SonarQube in Docker

dr-con

Scalable Architecture using Docker, Registrator, Consul, Consul Template Nginx

elixirbooks

List of Elixir books

encrypted_attributes-cookbook

Chef cookbook to install and load chef-encrypted-attributes gem.

eng-practices

Google's Engineering Practices documentation

etudes-for-elixir

Companion exercises for Introducing Elixir

fantasy-land

Specification for interoperability of common algebraic structures in JavaScript

fibonacci

Experiments with Fibonacci and memoization.

find-requires

Find all require() calls. Fast and solid implementation backed with direct scanner and esprima ast parser

follow-me

:skull: [UNMAINTAINED] A quick utility script that follows all members of a GitHub organization.

fzf

:cherry_blossom: A command-line fuzzy finder written in Go

game-programming-patterns

Source repo for the book

ghi2jira

Export GitHub Issues to JIRA-compatible CSV format

gitignore

A collection of useful .gitignore templates

goproxy

a go proxy

gotr

Source code for "Go on the run (gotr)" YouTube series. Video are here: https://www.youtube.com/playlist?list=PL0aDKsruoiW2jac2D2flxZofQLfEOc2GU

introduction-to-workflow-management-platform-airflow

In this module, you will look at creating a pipeline by breaking down a job into multiple executable stages. You will implement a simple linear pipeline and then move further by implementing a multi-stage data pipeline, then automate the multi-stage pipeline using Bash. Further to this you will improve the efficiency by running the pipeline as an asynchronous process using the ETL workflow and then create DAG for the pipeline and implement it using Airflow.