{"id":22445489,"url":"https://github.com/anas436/accessing-databases-with-sqlite3-and-sqlitemagic","last_synced_at":"2026-05-09T00:37:27.816Z","repository":{"id":110394248,"uuid":"498033058","full_name":"Anas436/Accessing-Databases-with-SQLite3-and-SQLiteMagic","owner":"Anas436","description":null,"archived":false,"fork":false,"pushed_at":"2022-05-30T17:18:26.000Z","size":16,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-03-27T10:48:08.828Z","etag":null,"topics":["jupyter-notebook","pandas","python3","seaborn","sql","sqlite3","sqlitemagic"],"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/Anas436.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,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2022-05-30T17:13:08.000Z","updated_at":"2022-05-30T17:15:11.000Z","dependencies_parsed_at":null,"dependency_job_id":"e14c4c22-5257-462d-95b7-8db12011dac8","html_url":"https://github.com/Anas436/Accessing-Databases-with-SQLite3-and-SQLiteMagic","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/Anas436/Accessing-Databases-with-SQLite3-and-SQLiteMagic","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Anas436%2FAccessing-Databases-with-SQLite3-and-SQLiteMagic","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Anas436%2FAccessing-Databases-with-SQLite3-and-SQLiteMagic/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Anas436%2FAccessing-Databases-with-SQLite3-and-SQLiteMagic/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Anas436%2FAccessing-Databases-with-SQLite3-and-SQLiteMagic/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Anas436","download_url":"https://codeload.github.com/Anas436/Accessing-Databases-with-SQLite3-and-SQLiteMagic/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Anas436%2FAccessing-Databases-with-SQLite3-and-SQLiteMagic/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32803621,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-08T08:22:46.396Z","status":"ssl_error","status_checked_at":"2026-05-08T08:22:45.650Z","response_time":54,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.6:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"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":["jupyter-notebook","pandas","python3","seaborn","sql","sqlite3","sqlitemagic"],"created_at":"2024-12-06T03:14:54.663Z","updated_at":"2026-05-09T00:37:27.774Z","avatar_url":"https://github.com/Anas436.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Accessing-Databases-with-SQLite3-and-SQLiteMagic\n\n\nTo communicate with SQL Databases from within a JupyterLab notebook, we can use the SQL \"magic\" provided by the ipython-sql extension. \"Magic\" is JupyterLab's term for special commands that start with \"%\". Above, I have used the load_ext magic to load the ipython-sql extension. In the lab environemnt provided in the course the ipython-sql extension is already installed and so is the ibm_db_sa driver.\n\nI have create a table, insert some data, and retrieve the results using the SQLite and SQLitgeMagic database with python in the Skills Network Lab environment.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fanas436%2Faccessing-databases-with-sqlite3-and-sqlitemagic","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fanas436%2Faccessing-databases-with-sqlite3-and-sqlitemagic","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fanas436%2Faccessing-databases-with-sqlite3-and-sqlitemagic/lists"}