A transformation pipeline for Delta Lake using AWS SDK for Pandas

A Bioinformatics demo in Python working with FASTQ files and using the Modin library

Build a machine model to predict whether the freshwater is safe to drink or not.Based on the measures like pH, TDS, etc.

Global Markets Options Pricing

Delve deeper into data manipulation using Python's prominent libraries. Explore the functionalities of Pandas and get a glimpse of alternatives like Polars, Dask, and Modin.

Generate data, load and download parquets to GCP and compare performance between Pandas, Polars and Modin with Python

HHA507 / Data Science / Assignment 2 / Data Manipulation

Lightweight, engine-agnostic dataframe validation

Polars, Pandas, Dask, and Modin

AI Starter Kit to generate structured synthetic data using Intel® Distribution of Modin

Recommendation system approaches

Um pipeline de ETL modular para automação de mailing com deduplicação, enriquecimento e otimização de performance.

Simple stats on SGE accounting data

Unlimited Data-Science Benchmarks for Numeric, Tabular and Graph Workloads

A Kedro plugin that provides pandas dropin replacements for the pandas datasets (e.g modin and cuDF)

Simple example on how Modin can peed up your Pandas workflows by changing a single line of code

Using the MovieLens dataset with Surprise to compare different algorithms for rating prediction, and also create a movie recommendation system on top of it.

oneAPI Hackathon: The LLM Challenge

Open Data Profiling, Quality and Analysis on NYC OpenData dataset with semantic profiling using fuzzy ratio, Levenshtein distance and regex