Alternatives and similar repositories for learn-data-munging

Users that are interested in learn-data-munging are comparing it to the libraries listed below

• mattharrison / effective_polars_book
  Code and materials for Effective Polars book
  ☆83Updated last year
• outerbounds / dsbook
  Code samples for the Effective Data Science Infrastructure book
  ☆115Updated 2 years ago
• noahgift / data-engineering-and-dataops
  Duke MIDS: Data Engineering and DataOps Course
  ☆67Updated 9 months ago
• mlflow / recipes-examples
  Example repo to kickstart integration with mlflow recipes.
  ☆45Updated 2 months ago
• mattharrison / 2023-Pycon-Polars
  Intro to Polars Tutorial
  ☆23Updated 2 years ago
• noahgift / databricks-zero-to-mlops
  ☆27Updated 3 years ago
• AutoViML / pandas_dq
  Find data quality issues and clean your data in a single line of code with a Scikit-Learn compatible Transformer.
  ☆133Updated last year
• ssp-data / data-engineering-devops
  Full stack data engineering tools and infrastructure set-up
  ☆56Updated 4 years ago
• braaannigan / data-analysis-with-polars
  Public notebooks and datasets to accompany the Data Analysis with Polars course on Udemy
  ☆45Updated 2 years ago
• josephmachado / cost_effective_data_pipelines
  Cost Efficient Data Pipelines with DuckDB
  ☆57Updated 5 months ago
• fugue-project / tutorials
  Tutorials for Fugue - A unified interface for distributed computing. Fugue executes SQL, Python, and Pandas code on Spark and Dask withou…
  ☆114Updated last year
• outerbounds / full-stack-ML-metaflow-tutorial
  It's all in the name
  ☆81Updated 2 years ago
• HotTechStack / polars-docs-mcp
  A FastMCP tool to search and retrieve Polars API documentation.
  ☆70Updated 4 months ago
• GokuMohandas / data-engineering
  Construct a modern data stack and orchestration the workflows to create high quality data for analytics and ML applications.
  ☆228Updated 3 years ago
• khuyentran1401 / prefect-docker
  Demo on how to use Prefect with Docker
  ☆27Updated 3 years ago
• khuyentran1401 / reproducible-data-science
  Tutorials on creating a reproducible and maintainable data science project
  ☆149Updated 3 years ago
• noahgift / mlflow-project-best-practices
  An example MLFlow project
  ☆49Updated 9 months ago
• KishManani / PyDataLondon2022
  Slides for "Feature engineering for time series forecasting" talk
  ☆62Updated 2 years ago
• josephmachado / analytical_dp_with_sql
  Code for my "Efficient Data Processing in SQL" book.
  ☆59Updated last year
• mrjsj / delta-lake-explorer
  ☆29Updated last year
• InfuseAI / taxi_rides_ny_duckdb
  PipeRider dbt workshop for DataTalksClub DE Zoomcamp
  ☆18Updated last year
• marvelousmlops / mlops_maturity_assessment
  MLOps maturity assessment
  ☆61Updated 2 years ago
• jacobceles / intro-to-colab-pyspark-emr
  A tutorial that helps Big Data Engineers ramp up faster by getting familiar with PySpark dataframes and functions. It also covers topics …
  ☆20Updated 3 years ago
• GokuMohandas / feature-store
  Using a feature store to connect the DataOps and MLOps workflows to enable collaborative teams to develop efficiently.
  ☆56Updated 3 years ago
• solegalli / feature_engine
  Feature engineering package with sklearn like functionality
  ☆55Updated last year
• eugeneyan / papermill-mlflow
  🧪 Simple data science experimentation & tracking with jupyter, papermill, and mlflow.
  ☆183Updated last year
• ploomber / projects
  Sample projects using Ploomber.
  ☆86Updated last year
• khuyentran1401 / prefect2-mlops-demo
  Demo on how to use Prefect 2 in an ML project
  ☆41Updated 3 years ago
• PacktPublishing / Apache-Airflow-Best-Practices
  Apache Airflow Best Practices, published by Packt
  ☆49Updated 11 months ago
• zenml-io / zenml-gitflow
  A repository that showcases how you can use ZenML with Git
  ☆70Updated 2 months ago