{"id":20358388,"url":"https://github.com/nicolasgasco/python_twitter_analyzer","last_synced_at":"2025-10-10T04:34:06.248Z","repository":{"id":103684175,"uuid":"318284682","full_name":"nicolasgasco/python_twitter_analyzer","owner":"nicolasgasco","description":"Capstone project of CodingNomads' online Python Programming bootcamp. Over 100k tweets were mined using tweepy (Twitter API), stored using SQLAlchemy and finally analyzed. ","archived":false,"fork":false,"pushed_at":"2021-05-16T13:48:02.000Z","size":9550,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-03-04T17:50:59.002Z","etag":null,"topics":["python","sql","sqlalchemy","sqlalchemy-database","sqlalchemy-python","tweepy","tweepy-api","tweet-analysis","twitter","twitter-api"],"latest_commit_sha":null,"homepage":"","language":"Python","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/nicolasgasco.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":"2020-12-03T18:29:58.000Z","updated_at":"2025-01-10T20:02:15.000Z","dependencies_parsed_at":"2023-07-07T00:15:36.388Z","dependency_job_id":null,"html_url":"https://github.com/nicolasgasco/python_twitter_analyzer","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/nicolasgasco/python_twitter_analyzer","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/nicolasgasco%2Fpython_twitter_analyzer","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/nicolasgasco%2Fpython_twitter_analyzer/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/nicolasgasco%2Fpython_twitter_analyzer/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/nicolasgasco%2Fpython_twitter_analyzer/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/nicolasgasco","download_url":"https://codeload.github.com/nicolasgasco/python_twitter_analyzer/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/nicolasgasco%2Fpython_twitter_analyzer/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":279002673,"owners_count":26083442,"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","status":"online","status_checked_at":"2025-10-10T02:00:06.843Z","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":["python","sql","sqlalchemy","sqlalchemy-database","sqlalchemy-python","tweepy","tweepy-api","tweet-analysis","twitter","twitter-api"],"created_at":"2024-11-14T23:26:44.420Z","updated_at":"2025-10-10T04:34:06.232Z","avatar_url":"https://github.com/nicolasgasco.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Python Twitter Analyzer\n## [CodingNomads](https://codingnomads.co/) final project using tweepy and sqlalchemy\n\n---\nThis is the final project of the online [Python course](https://codingnomads.co/courses/python-bootcamp-online/) by CodingNomads.\n\n### Aim\nThe aim of the project is providing a series of statistics (e.g. average user count or most popular hours) on a set of Twitter tweets fetched using *tweepy* and stored in a database using *sqlalchemy*.  \nThe results of said statistics can be previewed in the three .txt files in the main folder of the project:\n- results_text_analysis.txt: stats on the text of the tweets, e.g. most frequently used symbols and longest word in the set.\n- results_time_analysis.txt: stats on the time when the tweets were written, e.g. most popular hours or oldest tweet.\n- results_users_analysis.txt: stats on the users, e.g. users with most followers or average followers/followed accounts ratio.\n\t\n### Description\nThe project consists of a series of scripts aimed at:\n1. Use *tweepy* to fetch a list of users who recently wrote a tweet in English containing the word \"cyberpunk\". This was done to push the set of tweets towards the gaming world.\n2. Use *tweepy* to fetch the last 20 tweets published by said users. Only tweets in English and that are not retweets of other tweets were accepted.\n3. Use *sqlalchemy* to store and retrieve all the data in a database.\n4. Use python scripts to analyze the collected data (one file where the results are printed and written in a .txt file and another with all the actual functions used).\n5. All data was stored in the database provided in the homonymous separate folder.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnicolasgasco%2Fpython_twitter_analyzer","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fnicolasgasco%2Fpython_twitter_analyzer","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnicolasgasco%2Fpython_twitter_analyzer/lists"}