MHAbido

MHAbido's Stars

• sharkdp/bat

  A cat(1) clone with wings.

  Language:Rust49.7k1.3k

• dreamsofautonomy/zensh

  Language:Shell27439

• iggredible/Learn-Vim

  Learning Vim and Vimscript doesn't have to be hard. This is the guide that you're looking for 📖

  13.8k1.1k

• marlonrichert/zsh-snap

  ⚡️ Znap! Fast, easy-to-use tools for Zsh dotfiles & plugins, plus git repos

  Language:Shell1.3k40

• Pilaton/OhMyZsh-full-autoupdate

  Automatic update of custom plugins and themes Oh My Zsh

  Language:Shell682

• charlax/professional-programming

  A collection of learning resources for curious software engineers

  Language:Python46.8k3.7k

• ByteByteGoHq/system-design-101

  Explain complex systems using visuals and simple terms. Help you prepare for system design interviews.

  64.4k6.8k

• tldr-pages/tldr

  📚 Collaborative cheatsheets for console commands

  Language:Markdown51.2k4.2k

• josean-dev/dev-environment-files

  Language:Lua3.1k813

• tmux-plugins/tpm

  Tmux Plugin Manager

  Language:Shell12.3k431

• tomasiser/vim-code-dark

  Dark color scheme for Vim and vim-airline, inspired by Dark+ in Visual Studio Code

  Language:Vim Script956181

• slackapi/slack-github-action

  Send data into Slack using this GitHub Action!

  Language:JavaScript965149

• kbbqiu/airflow-stdout-log-handler

  Airflow task log handler to print to STDOUT

  Language:Python83

• in28minutes/functional-programming-with-java

  Learn Functional Programming with Java using a Hands-on Step by Step Approach

  Language:Java361403

• in28minutes/spring-unit-testing-with-junit-and-mockito

  Spring Unit Testing with JUnit and Mockito

  Language:Java361403

• in28minutes/in28minutes-initiatives

  All initiatives to build a connect between industry, instructors and learners

  600471

• donnemartin/system-design-primer

  Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

  Language:Python277k46.4k

• kedro-org/kedro

  Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.

  Language:Python10k906

• great-expectations/great_expectations

  Always know what to expect from your data.

  Language:Python10k1.5k

• google/latexify_py

  A library to generate LaTeX expression from Python code.

  Language:Python7.3k387

• Tomme/dbt-athena

  The athena adapter plugin for dbt (https://getdbt.com)

  Language:Python14179

• soggycactus/airflow-repo-template

  The easiest way to run Airflow locally, with linting & tests for valid DAGs and Plugins.

  Language:Python24139

• astronomer/airflow-provider-great-expectations

  Great Expectations Airflow operator

  Language:Python15954

• databand-ai/dbnd

  DBND is an agile pipeline framework that helps data engineering teams track and orchestrate their data processes.

  Language:Python25135

• gocardless/airflow-dbt

  Apache Airflow integration for dbt

  Language:Python39662

• Chalarangelo/30-seconds-of-code

  Short code snippets for all your development needs

  Language:JavaScript122k12k

• astronomer/dag-factory

  Dynamically generate Apache Airflow DAGs from YAML configuration files

  Language:Python1.2k180

• BasPH/data-pipelines-with-apache-airflow

  Code for Data Pipelines with Apache Airflow

  Language:Python717362

• apache/airflow

  Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

  Language:Python37.2k14.3k

• mumoshu/kube-airflow

  A docker image and kubernetes config files to run Airflow on Kubernetes

  Language:Python655204