Alternatives and similar repositories for airflow-tutorial

Users that are interested in airflow-tutorial are comparing it to the libraries listed below

• monte-carlo-data / data-downtime-challenge
  ☆90Updated 2 years ago
• docker-for-data-science / docker-for-data-science-tutorial
  Materials for "Docker for Data Science" tutorial presented at PyCon 2018 in Cleveland, OH
  ☆156Updated 5 years ago
• AnalyticsInsightsNinja / Python_TidyData
  How to use Python to understand data and transform the data into a tidy format ready to be used for modelling and visualisation.
  ☆36Updated 6 years ago
• d6t / d6tstack
  Quickly ingest messy CSV and XLS files. Export to clean pandas, SQL, parquet
  ☆197Updated 2 years ago
• ericmjl / data-testing-tutorial
  A short tutorial for data scientists on how to write tests for code + data.
  ☆120Updated 5 years ago
• marcosmarxm / airflow-testing-ci-workflow
  (project & tutorial) dag pipeline tests + ci/cd setup
  ☆88Updated 4 years ago
• tomaszdudek7 / airflow_project
  scaffold of Apache Airflow executing Docker containers
  ☆86Updated 2 years ago
• htorrence / pytest_examples
  Reference package for unit tests
  ☆49Updated 7 years ago
• ananthdurai / airflow-training
  Airflow training for the crunch conf
  ☆104Updated 6 years ago
• danclark5 / pytesting_db
  Sample pytest tests for testing SQL Server assests.
  ☆46Updated 7 years ago
• great-expectations / great_expectations_action
  A GitHub Action that makes it easy to use Great Expectations to validate your data pipelines in your CI workflows.
  ☆81Updated last year
• alysivji / talks
  Code, slides, and documentation for the talks I have given.
  ☆113Updated 4 months ago
• coiled / talkpython-getting-started-with-dask
  Material for Talk Python Training course on Getting Started with Dask.
  ☆29Updated 2 years ago
• dataquestio / analytics_pipeline
  Code to build a simple analytics data pipeline with Python
  ☆101Updated 8 years ago
• priceloop / conventions
  ∞ Priceloop Engineering Conventions for Scala, Python, Git Workflow etc
  ☆100Updated 3 years ago
• tdpetrou / integrating-pandas-with-scikit-learn
  Tutorial covering a new workflow available going from pandas to scikit-learn
  ☆39Updated 2 years ago
• jgoerner / data-science-stack-cookiecutter
  🐳📊🤓Cookiecutter template to launch an awesome dockerized Data Science toolstack (incl. Jupyster, Superset, Postgres, Minio, AirFlow & …
  ☆214Updated 2 years ago
• DunderData / Tutorials
  Python data science and machine learning from Ted Petrou with Dunder Data
  ☆55Updated 3 years ago
• hackalog / easydata
  A flexible template for doing reproducible data science in Python.
  ☆110Updated last year
• tdpetrou / pandas_cub
  Learn how to build a data analysis library from scratch
  ☆207Updated 3 years ago
• karpenkovarya / airflow_for_beginners
  ☆179Updated 2 years ago
• drivendataorg / nbautoexport
  Automatically export Jupyter notebooks to various file formats (.py, .html, and more) on save.
  ☆82Updated last month
• deliveryhero / pyconde2019-airflow-ml-workshop
  PyConDE & PyData Berlin 2019 Airflow Workshop: Airflow for machine learning pipelines.
  ☆47Updated 2 years ago
• datastacktv / apache-beam-batch-processing
  Public source code for the Batch Processing with Apache Beam (Python) online course
  ☆18Updated 5 years ago
• Bayesnote / Bayesnote
  A frictionless integrated platform for notebook
  ☆83Updated 2 years ago
• canyon289 / PyTestforDataScience_PyDataLA
  Pytest for Data Science Beginners
  ☆59Updated 7 years ago
• noahgift / myrepo
  continuous integration rep
  ☆51Updated 9 months ago
• ploomber / projects
  Sample projects using Ploomber.
  ☆86Updated last year
• greatexpectationslabs / ge_tutorials
  Learn how to add data validation and documentation to a data pipeline built with dbt and Airflow.
  ☆169Updated last year
• maxhumber / DE4DS
  ⭕️ Data Engineering for Data Scientists
  ☆78Updated 2 years ago