Search Results for "data science"

Command Line by Jeroen Janssens, published by O’Reilly Media in October 2021. Obtain, scrub, explore, and model data with Unix Power Tools. This repository contains the full text, data, and scripts used in the second edition of the book Data Science at the Command Line by Jeroen Janssens. This thoroughly revised guide demonstrates how the flexibility of the command line can help you become a more efficient and productive data scientist. You’ll learn how to combine small yet powerful command-line tools to quickly obtain, scrub, explore, and model your data. ...

Bibliograph is a powerful and intuitive open source web application for the collaborative collection, editing and publishing of bibliographic data such as a bibliographies, small library collections or shared research data. It features a modern user interface similar to a desktop application.

mediaTUM is free software written in Python for archiving and retrieval of images, documents and other research data. It was originally developed in the framework of the DFG project IntegraTUM and is continuously expanded with new functionalities as required.

SITools2 is a new CNES generic tool performed by a joint effort between CNES and scientific laboratories. The aim of SITools is to provide a self-manageable data access layer deployed on already existing scientific laboratory databases.

Biomedical Information Management System (BIMS) is a modular multilayer object - oriented software architecture, which provides a flexible computational solution to capture and manage a heterogeneous biomedical data: textual and visual information.

Library Management Software System will be an online and mobile service to help people and public libraries to automate all activities. PhotonSoft Ltd. plan LMSS to be world's largest library network and social space with Internet/WAP communication tools

Data Mining Platform is a platform for data mining and analysis. It contains many of the new and sophisticated methods such as kernel-based classification, two-way clustering, bayesian networks, pattern recognition for time series analysis and many other

Cosmos (by OpenGenus Foundation) is your personal offline collection of every algorithm and data structure one will ever encounter and use in a lifetime. This provides solutions in various languages spanning C, C++, Java, JavaScript, Swift, Python, Go and others. This work is maintained by a community of hundreds of people and is a massive collaborative effort to bring the readily available coding knowledge offline.