There are 2 repositories under large-data topic.
C++ DataFrame for statistical, Financial, and ML analysis -- in modern C++ using native types and contiguous memory storage
A Kafka Serde that reads and writes records from and to Blob storage (S3, Azure, Google) transparently.
Tabular Data Viewer π VSCode extension for viewing very large local and remote CSV and TSV data files with Tabulator Table, Perspective Datagrid and D3FC Chart Views ππ
π― A Ruby on Rails app to generate Fizzbuzz numbers up to 100,000,000,000
File Search-Sorting Algorithms for DBMS
Wrapping single instance learning algorithms for fitting them to data for multiple instance learning
Analyzes Grid Engine log files converting them into a format suitable for time series analysis using Grafana.
This repository contains introduction to pandas which is a software library written for the Python programming language for data manipulation and analysis.
Using Python to analyze large datasets