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.
☆114Updated 2 months ago
Alternatives and similar repositories for tutorials
Users that are interested in tutorials are comparing it to the libraries listed below
Sorting:
- IbisML is a library for building scalable ML pipelines using Ibis.☆120Updated 6 months ago
- Notebook gallery and issue tracking for Atoti☆228Updated last week
- Possibly the fastest DataFrame-agnostic quality check library in town.☆234Updated 3 months ago
- An abstraction layer for parameter tuning☆35Updated last month
- Fake Pandas / PySpark DataFrame creator☆48Updated last year
- Kedro Plugin to support running workflows on Kubeflow Pipelines☆56Updated 7 months ago
- The easiest way to integrate Kedro and Great Expectations☆54Updated 3 years ago
- Write python locally, execute SQL in your data warehouse☆268Updated 3 years ago
- Read Delta tables without any Spark☆47Updated last year
- Pandas helper functions☆31Updated 2 years ago
- Code examples showing flow deployment to various types of infrastructure☆110Updated 3 years ago
- Build your feature store with macros right within your dbt repository☆39Updated 3 years ago
- Templates for your Kedro projects.☆83Updated last week
- A simple and easy to use Data Quality (DQ) tool built with Python.☆51Updated 2 years ago
- Convert monolithic Jupyter notebooks 📙 into maintainable Ploomber pipelines. 📊☆79Updated last year
- Swiple enables you to easily observe, understand, validate and improve the quality of your data☆84Updated this week
- Sample projects using Ploomber.☆86Updated 2 years ago
- Dask integration for Snowflake☆30Updated 5 months ago
- Plugins, extensions, case studies, articles, and video tutorials for Kedro☆95Updated last year
- The DBT of ML, as Aligned describes data dependencies in ML systems, and reduce technical data debt☆60Updated 3 weeks ago
- ☆22Updated 2 weeks ago
- Automatically export Jupyter notebooks to various file formats (.py, .html, and more) on save.☆84Updated 4 months ago
- Monitor the stability of a Pandas or Spark dataframe ⚙︎☆510Updated 3 weeks ago
- Cloud-agnostic Python API☆60Updated last year
- A JupyterLab extension providing, SQL formatter, auto-completion, syntax highlighting, Spark SQL and Trino☆93Updated last week
- A GitHub Action that makes it easy to use Great Expectations to validate your data pipelines in your CI workflows.☆83Updated last year
- Explore and compare 1K+ accurate decision trees in your browser!☆168Updated last year
- Build and deploy a serverless data pipeline on AWS with no effort.☆110Updated 2 years ago
- dagster scikit-learn pipeline example.☆46Updated 2 years ago
- Sample project that use Dagster, dbt, DuckDB and Dash to visualize car and motorcycle Spanish market☆58Updated 3 years ago