There are 2 repositories under imf topic.
Adds an IMF demuxer to FFMPEG (https://github.com/sandflow/ffmpeg-imf/blob/develop/README-IMF.md)
The python module can be used to scrape data and process data from different sources. The python module can output data as either as a dataframe in the country year format or it will output data in excel files This module has primarily been created for processing data for the International Futures (IFs) Project however, it can be used to process data in general. The module can be used to process data from the following sources, 1) World Bank World Development Indicators (WDI) 2) UNESCO Education indicators(UIS) 3) FAO Food Balance Sheets (FAO) 4) IMF Global Finance Statistics (IMF GFS) 5) Health data from the Institute for Health and Metric Evaluation (IHME) 6) Water data from FAO AQUASTAT 7) Energy data from EIA Currently this module can be run as is on Windows. For usage on Macs, the user may have to make changes to the code lines which specify paths.
Example of Empirical Mode Decomposition algorithm
scripts developed for course of statistical hydrology - IMF - UNMSM.
scripts developed for statistical hydrology - IMF - UNMSM.
Very simple IMF music player written in Assembly 8086. Video: https://youtu.be/ifqq7reyNa0
A Stata Script to acquire the Laeven Valencia (2008, 2013, 2018) Systemic Banking Crises Database.
Convert between Internet Message Format date & time strings and elm/time Time.Posix
scripts developed for Numerical Methods I - IMF - UNMSM
Analysis of variables that influence debt.
PowerBI: A basic analysis and visualizations of the GDP of multiple countries using PowerBI.
This template uses external commodity International Monetary Fund data for creating an algorithm for futures contracts.
This template uses International Monetary Fund currency data and shows an algorithm for futures contracts.
This template shows how to use International Monetary Fund Data for predicting the price of Bitcoin futures contracts.
Download IMF and World Bank `tidy` data From Quandl
Exemplo de aplicação do método EMD (empirical mode decomposition) apresentado na disciplina "Introdução à Ciência de Dados" pelo professor Rodrigo Mello em 2019, em São Carlos-SP
Unofficial IMF Data Explorer
This repository holds the code for four different dashboards which combine macroeconomic indicators retrieved from different international organizations (e.g., World Bank, ILO, IMF). A series of chosen indicators for the field "employment", "production", "income" and "trade" are retrieved through the organizations' API and visualized on streamlit.
Minimum working script for scrapping IMF's suggested links in search result.