{"id":27163242,"url":"https://github.com/skivhisink/rpymdd","last_synced_at":"2026-04-17T03:02:23.505Z","repository":{"id":208290027,"uuid":"721228388","full_name":"SkivHisink/RPyMDD","owner":"SkivHisink","description":"Review of packages for R and Python market data downloading","archived":false,"fork":false,"pushed_at":"2023-11-21T08:48:14.000Z","size":11968,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2024-02-02T18:17:16.525Z","etag":null,"topics":["datasets","economics","jupyter","jupyter-notebook","python","r","vscode"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/SkivHisink.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null}},"created_at":"2023-11-20T16:08:04.000Z","updated_at":"2023-11-21T07:56:29.000Z","dependencies_parsed_at":"2023-12-03T14:43:20.329Z","dependency_job_id":null,"html_url":"https://github.com/SkivHisink/RPyMDD","commit_stats":null,"previous_names":["skivhisink/rpymdd"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SkivHisink%2FRPyMDD","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SkivHisink%2FRPyMDD/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SkivHisink%2FRPyMDD/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SkivHisink%2FRPyMDD/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/SkivHisink","download_url":"https://codeload.github.com/SkivHisink/RPyMDD/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247959079,"owners_count":21024833,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["datasets","economics","jupyter","jupyter-notebook","python","r","vscode"],"created_at":"2025-04-09T01:48:13.651Z","updated_at":"2026-04-17T03:02:18.465Z","avatar_url":"https://github.com/SkivHisink.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# RPyMDD\nWelcome to the repository dedicated to setting up the environment for working with R and Python in Jupyter Notebooks within Visual Studio Code. This repository provides comprehensive information and code examples for preparing your development environment to seamlessly use R and Python for data analysis and visualization.\n## Getting Started\nTo get started with setting up your environment, follow the instructions provided in the respective files for R and Python. Each file contains detailed documentation and code examples for configuring your environment and utilizing the available data retrieval options.\n\n## Features\n### R Environment Setup\nFor R enthusiasts, this repository offers various options for data retrieval from different sources. The following data sources and packages are covered:\n\n📌**OANDA**: Access financial data through the OANDA API.\n\n📌**Google Finance**: Retrieve financial data using Google Finance.\n\n📌**Finam.ru**: Obtain financial data from the Finam.ru platform.\n\n📌**Twitter**: Fetch data from Twitter using R.\n\n📌**FRED**: Access economic data through the Federal Reserve Economic Data (FRED) API.\n\n📌**Yahoo Finance**: Get financial data from Yahoo Finance.\n\n📌**DataMarket**: Utilize the DataMarket API for data retrieval.\n\n📌**Bloomberg**: Connect and retrieve data from Bloomberg.\n\n📌**ggplot2**: An implementation of the Grammar of Graphics for data visualization in R + Access various datasets.\n\n📌**Datasets**: Access various datasets for analysis.\n\n### Python Environment Setup\nFor Python users, this repository provides alternatives for data retrieval, ensuring flexibility and choice. The supported options include:\n\n📌**yfinance**: Retrieve financial data using the yfinance library.\n\n📌**pandas_datareader**: Access financial data through the pandas_datareader library.\n\n📌**Alpha Vantage**: Fetch data from Alpha Vantage API.\n\n📌**quandl**: Obtain financial and economic data from Quandl.\n\n📌**Finam.ru**: Access financial data using Python from the Finam.ru platform.\n\n## TODO\n- [ ] Python: Add more Python APIs\n- [ ] Python: Fix problem with google finance\n- [ ] Python: Fix problem with finam\n\n## About\nThis repository is based on Vyacheslav Arbuza's article, \"[Review of Packages for R for Market Data Downloading](https://github.com/SkivHisink/RPyMDD/blob/main/docs/OriginalArticle.pdf)\" Feel free to explore, experiment, and enhance your data analysis capabilities with the rich features provided in this repository. \n🚀 Happy coding! 🚀\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fskivhisink%2Frpymdd","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fskivhisink%2Frpymdd","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fskivhisink%2Frpymdd/lists"}