Alternatives and similar repositories for effective_polars_book

Users that are interested in effective_polars_book are comparing it to the libraries listed below

• jeroenjanssens / python-polars-the-definitive-guide
  Scripts and datasets for the O'Reilly book Python Polars: The Definitive Guide
  ☆295Updated last month
• mattharrison / 2023-Pycon-Polars
  Intro to Polars Tutorial
  ☆22Updated 2 years ago
• PacktPublishing / Polars-Cookbook
  Polars Cookbook, Published by Packt
  ☆355Updated last month
• braaannigan / data-analysis-with-polars
  Public notebooks and datasets to accompany the Data Analysis with Polars course on Udemy
  ☆45Updated 2 years ago
• drumtorben / polars-ts
  Polars Time Series Extension
  ☆32Updated 2 months ago
• escobar-west / polars-cookbook
  Recipes for using Python's polars library
  ☆269Updated last year
• AutoViML / pandas_dq
  Find data quality issues and clean your data in a single line of code with a Scikit-Learn compatible Transformer.
  ☆135Updated 2 years ago
• PacktPublishing / Data-Analysis-with-Polars
  Data Analysis with Polars, Published by Packt
  ☆32Updated last year
• HotTechStack / polars-docs-mcp
  A FastMCP tool to search and retrieve Polars API documentation.
  ☆71Updated 7 months ago
• kvnkho / pydata-timeseries-forecasting
  Material for PyData NYC Tutorial on Large Scale Timeseries Forecasting
  ☆27Updated 2 years ago
• mattharrison / Idiomatic-Pandas-Tutorial
  Pandas Training © MetaSnake 2022, CC BY-NC
  ☆18Updated 3 years ago
• RamiKrispin / vscode-python-uv-template
  A Python Environment Template for VScode with UV
  ☆79Updated 3 months ago
• ibis-project / ibis-examples
  A repository of runnable examples using ibis
  ☆46Updated last year
• 6chaoran / jupyter-summarytools
  summarytools in jupyter notebook
  ☆111Updated last year
• ploomber / projects
  Sample projects using Ploomber.
  ☆86Updated last year
• mattharrison / datasets
  Datasets for ML, Analysis, etc
  ☆62Updated 8 months ago
• shauryashaurya / learn-data-munging
  Notes on Data Engineering with Pandas, PySpark, Dask, Ray, Arrow DataFusion, Polars etc.
  ☆51Updated 5 months ago
• mattharrison / effective_xgboost_book
  ☆295Updated 2 years ago
• sktime / sktime-tutorial-pydata-global-2022
  sktime - python toolbox for time series: pipelines and transformers
  ☆25Updated 3 years ago
• TomBurdge / polari
  Sentiment and language detection for text analytics.
  ☆17Updated last year
• KishManani / PyDataLondon2022
  Slides for "Feature engineering for time series forecasting" talk
  ☆64Updated 3 years ago
• RamiKrispin / pydata-ny-ga-workshop
  Materials for the Deploy and Monitor ML Pipelines with Python, Docker and GitHub Actions workshop at the PyData NYC 2024 conference
  ☆81Updated this week
• mattharrison / effective_pandas_book
  Errata and code for Effective Pandas book
  ☆373Updated 3 years ago
• nogibjj / rust-with-python
  Using Rust with Python
  ☆18Updated 2 years ago
• solegalli / feature_engine
  Feature engineering package with sklearn like functionality
  ☆56Updated last year
• MatthewK84 / LinkedIn-Learning-Journey
  Matthew Kolakowski Learning Journey with Articles on Time Series Analysis, Machine Learning, Python Programming, and Systems Engineering.
  ☆29Updated last week
• ysraell / forecasting
  Forecasting: Principles and Practice
  ☆61Updated 4 years ago
• marimo-team / learn
  📚 A curated collection of marimo notebooks for education.
  ☆254Updated last week
• outerbounds / full-stack-ML-metaflow-tutorial
  It's all in the name
  ☆82Updated 2 years ago
• kevinheavey / modern-polars
  Code and data for the Modern Polars book
  ☆230Updated last year