semvec/pypi-packages huggingface dataset:
Flowpipe_Editor 0.0.1
A lightweight framework for flow-based programming in python.
License: MIT
Requires Python: >=3.9

# flowpipe-editor
QT Editor for the flowpipe framework based on NodeGraphQt.

![flowpipe-editor](docs/img/flowpipe-editor.png)

## Requirements
The requirements can be installed via pip.

* [flowpipe](https://github.com/PaulSchweizer/flowpipe) 
* [NodeGraphQT](https://github.com/jchanvfx/NodeGraphQt)
pmodels 0.4
Predictions of polymer systems properties
License: MIT
Requires Python: >=3.7

PModels :: Predictive models for polymer systems
------------------------------------------------

* PModels can predict properties of polymer blends and composites.
* Input: properties of the components + composition + additional parameters.
* Output: property of the final system (i.e. of the polymer blend or composite).


Principle
---------

```
>>> # Standard import of PModels package
>>> import pmodels as pm
>>>
>>> # Estimate arbitrary property P of a polymer blend
>>> # (P1,P2) = properties of components, v2 = vol.fraction of component 2
>>> P = pm.lin.P(P1=1, P2=3, v2=0.5)
>>>
>>> # Estimate elastic modulus, E, and yield stress, Y, of a polymer blend
>>> # (E1,E2 and Y1,Y2) = props of the components, v2 = vol.fract., A = adhesion 
>>> E = pm.ebm.E(E1=1, E2=3, v2=0.5)
>>> Y = pm.ebm.Y(Y1=20, Y2=100, v2=0.5, A=1)
```


Installation
------------

* Requirement: Python with sci-modules = numpy, matplotlib, scipy, pandas
* `pip install pmodels` = PModels package itself (uses all packages above)


Quick start
-----------

* [Worked example](https://www.dropbox.com/scl/fi/g6no7oqrjbp8u0ozb5jr7/ex1.nb.html.pdf?rlkey=7p6dumlv9dnr8lku8p87eqd0v&st=g26oyck5&dl=0)
  = basic calculations with PModels.
* [DropBox folder](https://www.dropbox.com/scl/fo/snk6pk906r2mhxnptke2s/AIUI14eefWObZJH84k5kyyU?rlkey=tzpkdqx4lnecufo636jr6wnvf&st=hmnbgeag&dl=0)
  with more examples, including test data.


Documentation, help and examples
--------------------------------

* [PyPI](https://pypi.org/project/pmodels) repository -
  the stable version to install.
* [GitHub](https://github.com/mirekslouf/pmodels) repository - 
  the current version under development.
* [GitHub Pages](https://mirekslouf.github.io/pmodels)
  with [examples](https://mirekslouf.github.io/pmodels/docs)
  and [complete package documentation](https://mirekslouf.github.io/pmodels/docs/pdoc.html/pmodels.html).


Versions of PModels
-------------------

* Version 0.1 = key calculations
* Version 0.2 = basic docstrings added
* Version 0.3 = improved init file = simple API
* Version 0.4 = standard docstrings, improved code, deployed in GitHub