aerosolpy is a collection of functions and classes useful in calculations related to aerosol science
Project description
aerosolpy
The aerosolpy package provides a python framework for conducting Aerosol Physics and Chemistry computations.
Description
aerosolpy provides functionality for calculating aerosol related basic functions: typical unit conversion, math operations and time operations (as aerosol data often deal with time series)
aerosolpy also includes classes for calculations of more complex aerosol mechanics and kinetics.
Installation
aerosolpy is available on PyPi.
It can be installed via pip to your python environment:
pip install aerosolpy
The package can also be installed from source. A setup.py file is included in the package. Please find the source code available in the public GitHub repository of aerosolpy.
There are two options for installation.
-
Download .tar.gz file from GitLab. Go to the path of your current python environment. In conda use:
conda info --envs
to see where your environment is installed. In that path find the absolute path to python.exe, for example:"C:\Program Files\Anaconda3\python.exe"
Now, run the following command:<absolute path to python.exe> -m pip install <path to tar.gz>
Note that can be relative, absolute and even an online link. -
Clone the repository from GitLab using e.g., ssh. Go to the path of the clondes repository and run:
python setup.py install
command or its usual variants (python setup.py install --user
,python setup.py install --prefix=/PATH/TO/INSTALL/DIRECTORY
, etc.) Note that the use ofpython setup.py
is deprecated, usage of pip is encouraged also for local installations.
Prerequisits
Python 3 needs to be used.
Current prerequisits:
numpy>=1.21
scipy>=1.7.3
pandas>=1.4.2
Usage
aerosolpy can be currently used for:
- aerosol mechanics calculations e.g., mean free path of aerosols and vapors, slip correction, diffusion coefficients, diffusional losses.
- aerosol kinetics calculations such as collision kernels
- aerosol utilities such as unit conversions, math operations (e.g., integration of size distributions)
Once installed as outlined above you can simply import aerosolpy
:
import aerosolpy as ap
Support
The package is maintained by Dominik Stolzenburg. All requests should be directed to dominik.stolzenburg@tuwien.ac.at or open an issue on GitHub
Documentation
Up-to-date Documentation and full API is hosted on readthedocs.io
Roadmap
- Future updates on the following submodules: dynamics.
- Publish a software paper describing the package.
Contributing
Contributions are welcome.
Branching strategy
Follows GitHub Flow, but with branching off releases as in GitLab Flow.
For new features, create an issue first, then work on a feature branch until ready for merge to main.
Continuous integration
We use GitHub Actions for continous integration. Updates should include test suites using pytest.
Automated builds are performed upon each push and pull request.
Currently CI builds using pip
and Linux. Furture developement should
also implement CI builds using conda
and Windows as the package will have
probably many Windows users.
Authors and acknowledgment
If the project is to be acknowledged, references to the gitlab repository or pypi index are welcome.
License
Licensed under the MIT license. See also LICENSE file.
Project status
Release 1.0.0 includes ap.growth Module for growth rate calculations from vapor concentrations, including particle-phase diffusion limitations
Project details
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