Lightweight and extensible compatibility layer between dataframe libraries!

Python and Pandas are known to have issues around scalability and efficiency. You will learn how to use libraries such as Modin, Dask, Ray, Vaex etc to overcome the problems faced by Pandas.

Simplify and accelerate your machine learning development with mleko. Designed with modularity and customization in mind, it seamlessly integrates into your existing workflows. Its robust caching system optimizes performance, taking you from data ingestion to finalized models with unparalleled efficiency.

An Apache 2.0, Kubernetes-native, large scale, high performance, dataframe layer.

All about Python programming language. Simple examples to understand every concept.

High performance(7 million+ records)crime data visualization

My endeavor to bring Vaex's data handling capabilities to anyone and everyone using Panel.

Exploring Python Visualization Landscape with Atmospheric and Oceanic Data and Other Miscellaneous data sets

examples with vaex a potential alternate for Pandas

En este repositorio se va a compartir todo el material relacionado con la charla "Como compartir grandes Datasets entre procesos sin perder la salud mental" de la Pycones 2021

Time Series Analysis of 1.1 Billion rows of data of the famous New York City Yellow Taxi from 2009-2015

About Seaborn relplot,scatterplot,lineplot,catplot,countplot,distplot,kdeplot,striplot,swarmplot,boxplot,violinplot,boxenplot,pointplot,barplot,joinplot,pairplot,lmplot,regplot