Repository navigation
south-africa
- Website
- Wikipedia
Coronavirus COVID-19 (2019-nCoV) Data Repository and Dashboard for South Africa
Get your loadshedding schedule in your calendar and never be left in the dark! Open-source, up-to-date, and developer friendly.
A Home Assistant integration to pull Eskom loadshedding status and schedule information using the EskomSePush API
openAFRICA aims to be largest independent repository of open data on the African continent. This repo contains the primary deployment scripts and files. Accessible at https://open.africa
The @CodeForAfrica landing page. Built with Jekyll and hosted on Github Pages. Accessible at https://codeforafrica.org/
Fetches loadshedding data from City of Cape Town
Siyazana is an isiZulu word that means we know each other or we are connected. This website has been designed to provide users with a tool to investigate the connections that exist between the private and public spheres in South Africa. Accessible at https://siyazana.co.za
A cross-platform application that shuts down your desktop PC before loadshedding
Competition instructions for the Center for High Performance Computing (CHPC) 2024 Student Cluster Compettion (SCC). Which is hosted by the National Integrated Cyber Infrastructure Systems (NICIS), a division of the South African Council for Scientific and Industrial Research (CSIR).
Overlapping-generations macroeconomic model for evaluating fiscal policy in South Africa
My collection of ESPHome YAML scripts
🇿🇦 Perform regex and checksum match to check if given number string is a valid South African ID
GenderGap.AFRICA is a tool designed to help users calculate the gender pay gap in any African country. Accessible at https://gendergap.africa/
HURUmap is an interactive web platform that allows citizens and journalists to explore, visualise, and download census data. This gives them the power to give context to stories that was otherwise hard to spot. Accessible at https://hurumap.org
This repository contains the script and figures of the conference paper selected for presentation at the Latin American Conference of Computationa Intelligence 2018. The abstract of the paper is as follows: Crime is an important social and economic problem of South Africa. Though certain categories of crimes are of serious proportions, yet on aggregate the overall crime situation in the country has considerably improved in the last decade or so. A number of previous studies across other countries have shown a positive or negative relationship between crime and economic growth. On a microeconomic/provincial scale, this paper studies the relationship between various categories of crimes and economic growth using the non-linear modeling technique of Generalized Additive Models. Such a modeling approach helps in understanding how various categories of crimes complexly affect GDP.
