{"id":22521567,"url":"https://github.com/r13i/cheapest-phone-call","last_synced_at":"2026-05-04T03:34:45.857Z","repository":{"id":187680691,"uuid":"157765121","full_name":"r13i/cheapest-phone-call","owner":"r13i","description":"Small challenge to find the best phone operator to use based on call price","archived":false,"fork":false,"pushed_at":"2018-11-16T13:24:44.000Z","size":14,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"master","last_synced_at":"2025-03-28T03:28:08.723Z","etag":null,"topics":["big-data","big-data-analytics","cheapest","data-analysis","data-cruncher","pandas","phone-number","pricelist"],"latest_commit_sha":null,"homepage":null,"language":"Jupyter Notebook","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/r13i.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}},"created_at":"2018-11-15T19:56:39.000Z","updated_at":"2018-11-17T14:53:34.000Z","dependencies_parsed_at":null,"dependency_job_id":"cdad3aca-9563-40d9-9813-3a27af052b85","html_url":"https://github.com/r13i/cheapest-phone-call","commit_stats":null,"previous_names":["r13i/cheapest-phone-call"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/r13i/cheapest-phone-call","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/r13i%2Fcheapest-phone-call","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/r13i%2Fcheapest-phone-call/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/r13i%2Fcheapest-phone-call/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/r13i%2Fcheapest-phone-call/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/r13i","download_url":"https://codeload.github.com/r13i/cheapest-phone-call/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/r13i%2Fcheapest-phone-call/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32593944,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-03T22:12:39.696Z","status":"online","status_checked_at":"2026-05-04T02:00:06.625Z","response_time":58,"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":["big-data","big-data-analytics","cheapest","data-analysis","data-cruncher","pandas","phone-number","pricelist"],"created_at":"2024-12-07T05:12:04.224Z","updated_at":"2026-05-04T03:34:45.827Z","avatar_url":"https://github.com/r13i.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# cheapest-phone-call\nSmall challenge to find the best phone operator to use based on call price\n\n### Methodology\n\n- We'll be using Python as programing language as it is pretty straightforward to build a fast prototype of the solution, and also as it offers many libraries aimed at making large datasets manipulation easier (`pandas`, `numpy`, ...)\n\n- We'll be using a Jupyter notebook in order to have a maximum of ergonomy and a beautiful visual presentation. Also, there will be no need to download or re-run the code as the results is already displayed in the notebook.\n\n- Unit Testing will be done within the same notebook, in separated cells to show directly that everything runs as expected.\n\n- In case we want to have a production-ready prototype that deals with larger datasets, one of the best choices I propose is to use `Apache Spark` with the `Scala API`, as it is especially aimed for Big Data, and because it runs on the JVM.\n\n### How To\n\n- `$ git clone https://github.com/redouane-dev/cheapest-phone-call.git`\n- `$ cd cheapest-phone-call`\n- Create a virtual environment to avoid dealing with dependency issues and conflicts : `$ virtualenv -p python3 venv`\n- `$ source ./venv/bin/activate`. You'll start seeing a `(venv)` before the shell prompt.\n- `(venv) $ pip install -r requirements.txt` in order to install all the requirements.\n\nNow you should be all set to run the notebook\n\n- `(venv) $ jupyter notebook prototyping.ipynb`\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fr13i%2Fcheapest-phone-call","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fr13i%2Fcheapest-phone-call","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fr13i%2Fcheapest-phone-call/lists"}