Extract flow properties from CFD data: boundary layer thickness, entropy layer thickness
Project description
flow-props
Python tool suite to extract flow properties from CFD data, such as boundary layer thickness and entropy layer thickness.
Install
pip install flow-props
Quick Start
import flow_props
Features
- under construction
Documentation
Full documentation: https://uahypersonics.github.io/flow-props
Code Style
This project follows established Python community conventions so that contributors can focus on the physics rather than inventing formatting rules.
| Convention | What it covers | Reference |
|---|---|---|
| PEP 8 | Code formatting, naming, whitespace | Python standard style guide |
| PEP 257 | Docstring structure (triple-quoted, imperative mood) | Python standard docstring conventions |
| Google style | Docstring sections (Args, Returns, Raises) |
Google Python style guide |
| Ruff | Automated linting and formatting | Enforces PEP 8 compliance automatically |
| typing / TYPE_CHECKING | Type hints for IDE support and static analysis | Python standard library |
Versioning & Releasing
This project uses Semantic Versioning (vMAJOR.MINOR.PATCH):
- MAJOR (
v1.0.0,v2.0.0): Breaking API changes - MINOR (
v0.3.0,v0.4.0): New features, backward-compatible - PATCH (
v0.3.1,v0.3.2): Bug fixes, minor corrections
To publish a new version to PyPI:
- Commit and push to
main - Tag and push:
git tag -a vMAJOR.MINOR.PATCH -m "Release vMAJOR.MINOR.PATCH" git push origin vMAJOR.MINOR.PATCH
The GitHub Actions workflow will automatically build and publish to PyPI via Trusted Publishing.
License
BSD-3-Clause. See LICENSE for details.
Project details
Release history Release notifications | RSS feed
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