Python Data Breach Tracker analyzes data breaches in Financial, Healthcare, and Governmental sectors to identify common breach occurrences and methods, helping organizations enhance cybersecurity.

This is a Go package which contains all administrative locations. I includes all provinces, districts, sectors, cells and villages.

Image compression algorithm, developed for research and educational purposes

An Opinionated AlphaVantage API Wrapper in Python 3.9. Compatible with Pandas TA (pip install pandas_ta). Get your FREE API Key at https://www.alphavantage.co/support/

Filecoin sector recover

This is a simple laravel API that returns provinces, districts, sectors, villages and cells found in Rwanda. Rwanda is organized in four provinces in addition to the Kigali city, 30 Districts, 416 Sectors, 2148 Cells and 14 837 Villages.

Commodore 64 disk image utility

Determine and plot all the different partitions of ATC elementary sectors in France above FL195 with traffic library

a robotic arm that mimics the finger movements of human hand

Visualize SIGnificant METeorological informations (SIGMET) and the ATC sectors impacted on 2D maps

🇷🇼Find place codes by code, province, district, sector, cell or village name from Rwanda

*Heavy WIP* Proxied server/sector synchronization network for Minecraft 1.7-1.15 based on Redis

Exploratory Data Analysis and Visualization-We have used descriptive statistics to describe our data by using quartile, Range, Summary, Percentage, cross Tabulation .I have used two interactive Stacked bar chart for showing the contribution of agriculture, industry and Service effect on the GDP per capita of the country as well as on Continent t…

Determine ATC occupancies in airspace volumes from so6 traffic file

2D visualization of French Air Traffic Control en-route elementary sectors of Metropolitan France

RocaSec: A standalone GUI-based package for robust co-evolutionary analysis of proteins

A public list of Sectors as defined by the NIS-Directive

Rwanda regions

Software for identifying co-evolutionary sectors in proteins using RoCA