Apple's allowed autofill domains

a python package for the interfacial analysis of molecular simulations

Simple data extract from the Strava API to generate some data points I'm interested in

Showcase visualizations about common Japanese words that appear in the news

IBM Data Science Professional Certificate

Este repositório está sendo utilizado pela equipe de analistas e cientistas de dados do projeto. As análises estão sendo conduzidas principalmente através de Jupyter Notebooks, com a geração de insights por meio de gráficos. Os arquivos CSV tratados estão disponíveis para referência.

Rill is a tool for effortlessly transforming data sets into powerful, opinionated dashboards using SQL. BI-as-code.

Neste projeto buscamos elaborar um script que constroi report para diferentes períodos e diferentes unidades de um negócio, a fim de sintetizar e facilitar o acesso das informações para os colaboradores.

In-memory Java DataFrame library

Descriptive And Inferential Data Analysis Using Python Projects

The official repository for ROOT: analyzing, storing and visualizing big data, scientifically

ML-capsule is a Project for beginners and experienced data science Enthusiasts who don't have a mentor or guidance and wish to learn Machine learning. Using our repo they can learn ML, DL, and many related technologies with different real-world projects and become Interview ready.

LabPlot is a FREE, open source and cross-platform Data Visualization and Analysis software accessible to everyone.

Feldera Continuous Analytics Platform

Statsmodels: statistical modeling and econometrics in Python

Curated list of Python resources for data science.

The leading data integration platform for ETL / ELT data pipelines from APIs, databases & files to data warehouses, data lakes & data lakehouses. Both self-hosted and Cloud-hosted.

This repository is where I share and organize my data analyses, covering a range of topics from descriptive to predictive analytics, using mostly large, real-world datasets gathered from various sources.

Jupyter notebooks for analysis of US federal debt levels, tax revenues, budget deficit, evolution of yields on treasury borrowings, treasury yield curves and inflation expectations, unemployment and participation rates, quantitative easing, industrial production, personal consumption and savings. All analysis is based on data provided by FRED.

Scientific computing with Perl