{"id":23592801,"url":"https://github.com/tushar2704/everyday-sql","last_synced_at":"2026-04-05T23:32:42.477Z","repository":{"id":226485977,"uuid":"736380319","full_name":"tushar2704/Everyday-SQL","owner":"tushar2704","description":"Welcome to Everyday SQL Sheets – your go-to resource for everyday SQL cheat sheets, pro tips, interview questions, and more. Whether you're a beginner looking to learn SQL or an experienced developer seeking quick reference materials, this application has got you covered.","archived":false,"fork":false,"pushed_at":"2024-03-12T16:57:34.000Z","size":1475,"stargazers_count":4,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-05-17T12:13:52.556Z","etag":null,"topics":["artificial-intelligence","cheatsheet","data-analysis","data-science","database","mysql","postgresql","query-language","sql","sqlalchemy","streamlit","streamlit-tushar2704","tushar2704"],"latest_commit_sha":null,"homepage":"https://everyday-sql.streamlit.app/","language":"Python","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/tushar2704.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}},"created_at":"2023-12-27T18:34:42.000Z","updated_at":"2025-04-14T14:08:13.000Z","dependencies_parsed_at":"2024-03-12T18:10:18.081Z","dependency_job_id":null,"html_url":"https://github.com/tushar2704/Everyday-SQL","commit_stats":null,"previous_names":["tushar2704/everyday-sql"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/tushar2704/Everyday-SQL","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tushar2704%2FEveryday-SQL","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tushar2704%2FEveryday-SQL/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tushar2704%2FEveryday-SQL/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tushar2704%2FEveryday-SQL/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/tushar2704","download_url":"https://codeload.github.com/tushar2704/Everyday-SQL/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tushar2704%2FEveryday-SQL/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":31454197,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-05T21:22:52.476Z","status":"ssl_error","status_checked_at":"2026-04-05T21:22:51.943Z","response_time":75,"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":["artificial-intelligence","cheatsheet","data-analysis","data-science","database","mysql","postgresql","query-language","sql","sqlalchemy","streamlit","streamlit-tushar2704","tushar2704"],"created_at":"2024-12-27T08:15:48.327Z","updated_at":"2026-04-05T23:32:42.462Z","avatar_url":"https://github.com/tushar2704.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Everyday SQL Sheets\n## [![Streamlit App](https://static.streamlit.io/badges/streamlit_badge_black_white.svg)](https://everyday-sql.streamlit.app/)\n\n![Python](https://img.shields.io/badge/python-3670A0?style=for-the-badge\u0026logo=python\u0026logoColor=ffdd54)\n![Streamlit](https://img.shields.io/badge/Streamlit-FF4B4B.svg?style=for-the-badge\u0026logo=Streamlit\u0026logoColor=white)\n![CSS](https://img.shields.io/badge/CSS3-1572B6.svg?style=for-the-badge\u0026logo=CSS3\u0026logoColor=white)\n![HTML](https://img.shields.io/badge/HTML5-E34F26.svg?style=for-the-badge\u0026logo=HTML5\u0026logoColor=white)\n![Markdown](https://img.shields.io/badge/markdown-%23000000.svg?style=for-the-badge\u0026logo=markdown\u0026logoColor=white)\n![Visual Studio Code](https://img.shields.io/badge/Visual%20Studio%20Code-0078d7.svg?style=for-the-badge\u0026logo=visual-studio-code\u0026logoColor=white)\n\nWelcome to **Everyday SQL Sheets** – your go-to resource for everyday SQL cheat sheets, Basic Concepts, Advanced Concepts, Pro tips, Interview Questions, and more. Whether you're a beginner looking to learn SQL or an experienced developer seeking quick reference materials, this application has got you covered.\n\n\n## Features\n\n- **SQL Cheat Sheets**: Explore concise and handy Python cheat sheets covering various topics, from basic syntax to advanced concepts.\n- **Basic SQL Concepts**: Discover fundamental SQL concepts, such as data types, joins, and more.\n- **Advanced SQL Concepts**: Understand advanced SQL concepts, such as subqueries, CTEs, and more.\n- **Pro SQL tips**: Discover expert tips and tricks to enhance your SQL coding skills and productivity.\n- **SQL Interview Questions**: Prepare for SQL interviews with a curated collection of frequently asked questions and their solutions.\n\n## SQL Cheat Sheets\nSQL Cheat Sheets: Explore concise and handy Python cheat sheets covering various topics, from basic syntax to advanced concepts.\n\n## Basic SQL Concepts\nBasic SQL Concepts: Discover fundamental SQL concepts, such as data types, joins, and more.\n\n## Advanced SQL Concepts\nAdvanced SQL Concepts: Understand advanced SQL concepts, such as subqueries, CTEs, and more.\n## Pro SQL tips\nPro SQL tips: Discover expert tips and tricks to enhance your SQL coding skills and productivity.\n\n## SQL Interview Questions\nSQL Interview Questions: Prepare for SQL interviews with a curated collection of frequently asked questions and their solutions.\n\n## Contributing\n\nWe welcome contributions from the community to enhance the content and features of **Everyday SQL Sheets**. Whether it's adding new cheat sheets, sharing valuable tips, or suggesting improvements, your contributions are highly appreciated. To contribute, follow these steps:\n\n1. Fork the repository.\n2. Create your feature branch: `git checkout -b feature/new-feature`.\n3. Commit your changes: `git commit -am 'Add some feature'`.\n4. Push to the branch: `git push origin feature/new-feature`.\n5. Submit a pull request.\n\n## Feedback and Support\n\nIf you have any feedback, suggestions, or issues regarding the application, please don't hesitate to [open an issue](https://github.com/tushar2704/Everyday-SQL/issues). We value your input and are dedicated to providing the best experience for our users.\n\n## Credits\n\n**Everyday SQL Sheets** is maintained by [Tushar AGGARWAL]. Special thanks to the contributors who have helped improve the content and functionality of the application.\n\n## License\n\nThis project is licensed under the [MIT License](LICENSE). Feel free to use, modify, and distribute the code for personal and commercial purposes.\n\n---\n\nStart exploring Python like never before with **Everyday SQL Sheets**. Happy querying! ✨\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftushar2704%2Feveryday-sql","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ftushar2704%2Feveryday-sql","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftushar2704%2Feveryday-sql/lists"}