{"id":31626580,"url":"https://github.com/ronibandini/arduinonanor4","last_synced_at":"2026-04-17T08:31:15.160Z","repository":{"id":307863260,"uuid":"1030926969","full_name":"ronibandini/ArduinoNanoR4","owner":"ronibandini","description":"Arduino Nano R4 Projects","archived":false,"fork":false,"pushed_at":"2025-08-02T21:10:09.000Z","size":297,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"main","last_synced_at":"2025-10-06T19:54:28.287Z","etag":null,"topics":["arduino","montecarlo","montecarlo-simulation","nanor4","pi"],"latest_commit_sha":null,"homepage":"https://bandini.medium.com/estimaci%C3%B3n-de-pi-con-arduino-nano-r4-4efb5fa3c622","language":"C++","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/ronibandini.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null}},"created_at":"2025-08-02T16:22:08.000Z","updated_at":"2025-08-02T21:10:13.000Z","dependencies_parsed_at":"2025-08-02T18:35:27.792Z","dependency_job_id":"672db8ad-20ef-4349-bc5f-243f3a3757a3","html_url":"https://github.com/ronibandini/ArduinoNanoR4","commit_stats":null,"previous_names":["ronibandini/arduinonanor4"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/ronibandini/ArduinoNanoR4","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ronibandini%2FArduinoNanoR4","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ronibandini%2FArduinoNanoR4/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ronibandini%2FArduinoNanoR4/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ronibandini%2FArduinoNanoR4/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/ronibandini","download_url":"https://codeload.github.com/ronibandini/ArduinoNanoR4/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ronibandini%2FArduinoNanoR4/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":31921755,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-16T18:22:33.417Z","status":"online","status_checked_at":"2026-04-17T02:00:06.879Z","response_time":62,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"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":["arduino","montecarlo","montecarlo-simulation","nanor4","pi"],"created_at":"2025-10-06T19:53:54.756Z","updated_at":"2026-04-17T08:31:15.142Z","avatar_url":"https://github.com/ronibandini.png","language":"C++","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Arduino Nano R4 Projects\n\n![NanoR4MontecarloPi](https://github.com/user-attachments/assets/5b7f0f5e-48ba-4cbb-a166-b8743be6ec0a)\n\n\n# 1. Montecarlo Pi Estimation\n\nThis project explores the use of the Nano R4's Floating-Point Unit (FPU) through a Monte Carlo simulation to estimate Pi. Each time the button is pressed, the simulation starts. Once per second, new Pi digits are estimated and displayed on the screen, accompanied by a beep.\n\nThe Monte Carlo simulation is a statistical method used to estimate numerical results through random sampling. It's especially useful when a problem is too complex for analytical solutions — like estimating probabilities, integrals, or physical processes. Instead of solving a problem exactly, we simulate it many times using random numbers, and average the results.\n\n# 3d parts\n\nhttps://cults3d.com/en/3d-model/gadget/arduino-nano-r4-montecarlo-pi-estimation\n\n# Contact\n\nRoni Bandini https://www.instagram.com/ronibandini/\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fronibandini%2Farduinonanor4","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fronibandini%2Farduinonanor4","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fronibandini%2Farduinonanor4/lists"}