A Delta Lake reader for Dask

Dask tutorial；Dask汉化教程

Code for preprocessing data from the HEXTOF instrument at FLASH, DESY in Hamburg (DE)

Comparison of Dataframe libraries for parallel processing of large tabular files on CPU and GPU.

Flexible stacked visualization of circadian data from multiple sources and devices

This is a Time Series Forecasting and Regression solution to project the no. of pick-ups at and around a given region at a given time in the city of New York, USA.

Sumeh — Unified Data Quality Framework Sumeh is a unified data quality validation framework supporting multiple backends (PySpark, Dask, Polars, DuckDB, Pandas) with centralized rule configuration.

Code for a talk on wrangling large datasets in pandas

This repository develops an advanced recommendation system to enhance the e-commerce shopping experience by automating product suggestions and analyzing user preferences through machine learning techniques and big data technologies.

Data Analysis on an extensive dataset of crimes in Chicago (2005 - 2016) using Dask

Full data analysis and data visualization projects notebooks using Pandas, Numpy, matplotlib and seaborn

This repository presents a simple streaming data pipeline to get statistics per vehicle from a data source.

It uses Dask as a Distributed Framework and Inspired by the work of https://github.com/entbappy/ML-Based-Book-Recommender-System

Training Higgs Dataset with Keras - https://doi.org/10.5281/zenodo.13133945

using dask geopandas to process large vector dataset

A tutorial to learn Dask DataArray and Dask DataFrames with examples from geospatial data catalogs.

Data Analysis on an extensive dataset of crimes in Chicago (2005-2016) using Dask

The following project shows and compares machine learning between Pandas DataFrames and Dask Dataframes.

POCs in order to explore new technologies.

Experiment based on work project to convert a Pandas data frame into a binary file with custom data encoding.