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https://github.com/qcversity/econometrics-versity
This space is about econometrics using Python. It is a series of lectures about Econometrics, the theory, practical example using Python.
https://github.com/qcversity/econometrics-versity
analysis econometrics economics finance modeling python statistics time-series
Last synced: 2 months ago
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This space is about econometrics using Python. It is a series of lectures about Econometrics, the theory, practical example using Python.
- Host: GitHub
- URL: https://github.com/qcversity/econometrics-versity
- Owner: qcversity
- License: mit
- Created: 2023-12-15T02:58:51.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2023-12-17T11:42:02.000Z (about 1 year ago)
- Last Synced: 2024-08-17T12:07:38.599Z (5 months ago)
- Topics: analysis, econometrics, economics, finance, modeling, python, statistics, time-series
- Language: JavaScript
- Homepage:
- Size: 1 MB
- Stars: 2
- Watchers: 1
- Forks: 1
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Econometrics Versity
The **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.
### What You'll Find Here
- **Theory**: Understand the fundamental concepts of econometrics, including statistical methods and economic theories.
- **Python Examples**: Explore practical examples using Python to analyze and interpret economic data.
- **Interactive Notebooks**: Hands-on Jupyter Notebooks that allow you to see econometrics in action.
- **Resources**: Additional materials for deeper learning and exploration.
## Getting Started
To get started with Econometrics Versity:
### Clone the repository to your local machine.
```
git clone https://github.com/qcversity/Econometrics-Versity.git
```
or
```
gh repo clone qcversity/Econometrics-Versity
```
### Setup The Environment
In 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.
#### Using `Mamba` Package Manager
1. Create a virtual environment using the `environment.yml` file
```
mamba env create -f environment.yml
```
Alternatively you can use the next command to create the environment:
```
mamba env create -f requirements.txt -n EconVersity
```
2. Activate the newly created virtual environment
```
mamba activate EconVersity
```
#### Using `conda`
If `conda` is your main package manager you can set up your environment using the following command:
```
conda create -n EconVersity --file package-list.txt
```
#### Using `venv` Virtual Environment Tool
If you are using native Python tool `venv` for virtual environment:
1. Create a folder for this project, please use a command Line Interpreter such as Terminal or Windows command prompt:
```
mkdir EconVersity
```
Go this created directory
```
cd EconVersity
```
2. Create a virtual environment first:
```
python -m venv venv
```
3. Activate the virtual environment
On Linux-Based systems:
```
source venv/bin/activate
```
On Windows system:
```
venv\Scripts\activate
```
4. Install the dependencies
```
python -m pip install -r requirements.txt
```
### How to Use This Learning Space
This learning space has just launched, and while writing the content, they will be lectures and interactive sessions in the form of Jupyter Notebooks:
1. First you need to read the lectures
2. Navigate to the Jupyter Notebooks for interactive sessions.
3. Solutions will be available in Notebooks Solutions
## Contributing
We welcome contributions to Econometrics Versity! If you're interested in contributing, here's how you can do it:
1. **Fork the Repository**: Start by forking the repository to your GitHub account.
2. **Make Your Changes**: Add your content, fix bugs, or implement new features.
3. **Submit a Pull Request**: After making your changes, submit a pull request to the main repository.
4. **Code Review**: Your changes will be reviewed, and if everything is in order, they will be merged into the project.
When contributing, please follow these guidelines:
- Ensure your code is well-documented.
- Adhere to the existing coding style and standards.
- Update the documentation if you're adding new features or making changes that affect how users interact with the project.
## License
Econometrics Versity is licensed under the MIT License. See the [LICENSE](LICENSE) file for more details.
## Contact
For questions or feedback, please open an issue in the repository, or contact us directly via [email me](mailto:[email protected]).