{"id":20478299,"url":"https://github.com/qcversity/econometrics-versity","last_synced_at":"2025-10-07T19:30:43.045Z","repository":{"id":212585992,"uuid":"731850446","full_name":"qcversity/Econometrics-Versity","owner":"qcversity","description":"This space is about econometrics using Python. It is a series of lectures about Econometrics, the theory, practical example using Python. ","archived":false,"fork":false,"pushed_at":"2023-12-17T11:42:02.000Z","size":1050,"stargazers_count":3,"open_issues_count":1,"forks_count":1,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-04-01T15:41:15.840Z","etag":null,"topics":["analysis","econometrics","economics","finance","modeling","python","statistics","time-series"],"latest_commit_sha":null,"homepage":"","language":"JavaScript","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/qcversity.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}},"created_at":"2023-12-15T02:58:51.000Z","updated_at":"2024-10-22T13:40:02.000Z","dependencies_parsed_at":"2023-12-17T12:40:56.990Z","dependency_job_id":null,"html_url":"https://github.com/qcversity/Econometrics-Versity","commit_stats":{"total_commits":5,"total_committers":2,"mean_commits":2.5,"dds":0.4,"last_synced_commit":"2081cf263436529e20fad8ba4be8ef6e4e72a4dd"},"previous_names":["qcversity/econometrics-versity"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/qcversity/Econometrics-Versity","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/qcversity%2FEconometrics-Versity","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/qcversity%2FEconometrics-Versity/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/qcversity%2FEconometrics-Versity/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/qcversity%2FEconometrics-Versity/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/qcversity","download_url":"https://codeload.github.com/qcversity/Econometrics-Versity/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/qcversity%2FEconometrics-Versity/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":278832726,"owners_count":26053789,"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":"2025-10-07T02:00:06.786Z","response_time":59,"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":["analysis","econometrics","economics","finance","modeling","python","statistics","time-series"],"created_at":"2024-11-15T15:37:31.967Z","updated_at":"2025-10-07T19:30:42.238Z","avatar_url":"https://github.com/qcversity.png","language":"JavaScript","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Econometrics Versity\n\nThe **Econometrics Versity**, is a comprehensive resource for learning and applying econometrics using the Python programming language. This repository serves as an interactive book, offering a blend of theory and practical examples to help you master econometrics.\n\n### What You'll Find Here\n\n- **Theory**: Understand the fundamental concepts of econometrics, including statistical methods and economic theories.\n- **Python Examples**: Explore practical examples using Python to analyze and interpret economic data.\n- **Interactive Notebooks**: Hands-on Jupyter Notebooks that allow you to see econometrics in action.\n- **Resources**: Additional materials for deeper learning and exploration.\n\n## Getting Started\n\nTo get started with Econometrics Versity:\n\n### Clone the repository to your local machine.\n\n```\ngit clone https://github.com/qcversity/Econometrics-Versity.git\n```\n\nor\n\n```\ngh repo clone qcversity/Econometrics-Versity\n```\n\n### Setup The Environment\n\nIn this section you will be guided on how to set up your environment using three tools, `mamba`, `conda` and `venv`. Feel free to use any other tool you use in your development.\n\n#### Using `Mamba` Package Manager\n\n1. Create a virtual environment using the `environment.yml` file\n\n```\nmamba env create -f environment.yml\n```\n\nAlternatively you can use the next command to create the environment:\n\n```\nmamba env create -f requirements.txt -n EconVersity\n```\n\n2. Activate the newly created virtual environment\n\n```\nmamba activate EconVersity\n```\n\n\n#### Using `conda`\n\nIf `conda` is your main package manager you can set up your environment using the following command:\n\n```\nconda create -n EconVersity --file package-list.txt\n```\n\n#### Using `venv` Virtual Environment Tool\n\nIf you are using native Python tool `venv` for virtual environment:\n\n1. Create a folder for this project, please use a command Line Interpreter such as Terminal or Windows command prompt:\n\n```\nmkdir EconVersity\n```\n\nGo this created directory\n\n```\ncd EconVersity\n```\n\n2. Create a virtual environment first:\n\n```\npython -m venv venv\n```\n\n3. Activate the virtual environment\n\nOn Linux-Based systems:\n```\nsource venv/bin/activate\n```\n\nOn Windows system:\n\n```\nvenv\\Scripts\\activate\n```\n\n4. Install the dependencies\n\n```\npython -m pip install -r requirements.txt\n```\n\n\n### How to Use This Learning Space\n\nThis learning space has just launched, and while writing the content, they will be lectures and interactive sessions in the form of Jupyter Notebooks:\n\n1. First you need to read the lectures\n2. Navigate to the Jupyter Notebooks for interactive sessions.\n3. Solutions will be available in Notebooks Solutions\n\n## Contributing\n\nWe welcome contributions to Econometrics Versity! If you're interested in contributing, here's how you can do it:\n1. **Fork the Repository**: Start by forking the repository to your GitHub account.\n2. **Make Your Changes**: Add your content, fix bugs, or implement new features.\n3. **Submit a Pull Request**: After making your changes, submit a pull request to the main repository.\n4. **Code Review**: Your changes will be reviewed, and if everything is in order, they will be merged into the project.\n\nWhen contributing, please follow these guidelines:\n  - Ensure your code is well-documented.\n  - Adhere to the existing coding style and standards.\n  - Update the documentation if you're adding new features or making changes that affect how users interact with the project.\n\n## License\nEconometrics Versity is licensed under the MIT License. See the [LICENSE](LICENSE) file for more details.\n\n## Contact\nFor questions or feedback, please open an issue in the repository, or contact us directly via [email me](mailto:qcversity.info@gmail.com).\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fqcversity%2Feconometrics-versity","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fqcversity%2Feconometrics-versity","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fqcversity%2Feconometrics-versity/lists"}