fugue-project / tutorialsLinks
Tutorials for Fugue - A unified interface for distributed computing. Fugue executes SQL, Python, and Pandas code on Spark and Dask without any rewrites.
☆113Updated last year
Alternatives and similar repositories for tutorials
Users that are interested in tutorials are comparing it to the libraries listed below
Sorting:
- Possibly the fastest DataFrame-agnostic quality check library in town.☆195Updated this week
- Kedro Plugin to support running workflows on Kubeflow Pipelines☆54Updated last week
- Write python locally, execute SQL in your data warehouse☆270Updated 3 years ago
- IbisML is a library for building scalable ML pipelines using Ibis.☆110Updated 6 months ago
- Fake Pandas / PySpark DataFrame creator☆47Updated last year
- Templates for your Kedro projects.☆76Updated this week
- Notebook gallery and issue tracking for Atoti☆225Updated this week
- A simple and easy to use Data Quality (DQ) tool built with Python.☆50Updated last year
- An abstraction layer for parameter tuning☆35Updated 10 months ago
- Read Delta tables without any Spark☆47Updated last year
- Sample projects using Ploomber.☆85Updated last year
- Pandas helper functions☆31Updated 2 years ago
- Convert monolithic Jupyter notebooks 📙 into maintainable Ploomber pipelines. 📊☆78Updated 9 months ago
- Code examples showing flow deployment to various types of infrastructure☆107Updated 2 years ago
- ☆75Updated 4 months ago
- Build your feature store with macros right within your dbt repository☆39Updated 2 years ago
- Swiple enables you to easily observe, understand, validate and improve the quality of your data☆84Updated this week
- dagster scikit-learn pipeline example.☆44Updated 2 years ago
- Dask integration for Snowflake☆30Updated 7 months ago
- Automatically export Jupyter notebooks to various file formats (.py, .html, and more) on save.☆78Updated last year
- A GitHub Action that makes it easy to use Great Expectations to validate your data pipelines in your CI workflows.☆80Updated last year
- Woodwork is a Python library that provides robust methods for managing and communicating data typing information.☆154Updated this week
- Ingesting data with Pulumi, AWS lambdas and Snowflake in a scalable, fully replayable manner☆71Updated 3 years ago
- Monitor the stability of a Pandas or Spark dataframe ⚙︎☆503Updated 5 months ago
- Plugins, extensions, case studies, articles, and video tutorials for Kedro☆80Updated 7 months ago
- ☆22Updated 10 months ago
- Anovos - An Open Source Library for Scalable feature engineering Using Apache-Spark☆75Updated 2 years ago
- Make simple storing test results and visualisation of these in a BI dashboard☆45Updated last week
- A JupyterLab extension providing, SQL formatter, auto-completion, syntax highlighting, Spark SQL and Trino☆88Updated last month
- Capture all information throughout your model's development in a reproducible way and tie results directly to the model code!☆133Updated this week