Library for economic models in Python.
Project description
🏛️ oikos Oikos is a Python library designed for students, economists, and developers interested in economic analysis and basic economic theory modeling.
By leveraging symbolic computation, oikos allows you to solve micro and macroeconomics problems both numerically and algebraically.
Key Features
- Symbolic Solving: Powered by
SymPyto solve equilibrium equations without manual derivation. - Microeconomics: Calculate consumer/producer surplus, elasticities, and market equilibrium.
- Macroeconomics: Multiplier models, IS-LM framework, and aggregate analysis.
- Mathematical Documentation: Full $\LaTeX$ support in our official web documentation.
Installation
Install the latest stable version via PyPI:
pip install oikos
License
The software is licensed under the MIT license, with copyright by Marcos Jr.
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file oikos-0.2.1.tar.gz.
File metadata
- Download URL: oikos-0.2.1.tar.gz
- Upload date:
- Size: 6.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
7fe92567d4aff1be44111e867f96051919c921dbae35f1365c3fa8b38447ca9f
|
|
| MD5 |
cc7a0eceda40845b9711a07966e4cbad
|
|
| BLAKE2b-256 |
38bec8513a891c72c9e48c2cb3e621c385017e6376d8c60c46c4e38759624827
|
File details
Details for the file oikos-0.2.1-py3-none-any.whl.
File metadata
- Download URL: oikos-0.2.1-py3-none-any.whl
- Upload date:
- Size: 7.6 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
8b453316caaca2288e5224cfb737d8a6acb385282b8346fc7561d330100f84bb
|
|
| MD5 |
c9a62eb7101a70a501b7f7912d6c5f46
|
|
| BLAKE2b-256 |
b31b59a3dac45ab68fe5ebecb4a8272b2436a859790b65cea63933d5270367b1
|
