semvec/pypi-packages huggingface dataset:
easyfermi 2.0.20
The easiest way to analyze Fermi-LAT data
Keywords: python, fermi, GUI, graphical interface, easyfermi, gamma-rays


# easyfermi
The easiest way to analyze Fermi-LAT data.

# Requirements
It is required to install Miniconda 3 or Anaconda 3 before installing easyfemri
_easyFermi_ relies on _Fermitools_, _fermipy_, _emcee_, and _gammapy_. 

# Install
Please folow the GitHub tutorial for installation:
https://github.com/ranieremenezes/easyFermi


# YouTube tutorials

We have some usage tutorials on YouTube:

https://www.youtube.com/channel/UCeLCfEoWasUKky6CPNN_opQ
warn-transformer 1.3.337
Consolidate, enrich and analyze the data gathered by warn-scraper
Requires Python: >=3.10
Keywords: WARN Act, scrapers, WARN Act data, WARN Act scrapers

## Links

- Documentation: [warn-transformer.readthedocs.io](https://warn-transformer.readthedocs.io)
- Repository: [github.com/biglocalnews/warn-transformer](https://github.com/biglocalnews/warn-transformer)
- Packaging: [pypi.org/project/warn-transformer](https://pypi.org/project/warn-transformer/)

## About

The project is sponsored by [Big Local News](https://biglocalnews.org/#/about), a program at Stanford University that collects data for impactful journalism. The code is maintained by [Ben Welsh](https://palewi.re/who-is-ben-welsh/), a visiting data journalist from the Los Angeles Times.
perisso 0.7.0
Experimental Tapir utility for supercharging Archicad automation.
Requires Python: >=3.12
Keywords: archicad, automation, bim, tapir

# Perisso
> Short for "perissodactyla" /pəˌrɪsoʊˈdæktɪlə/ – the zoological order Tapiridae reside in.
> It's an experimental [Tapir](https://github.com/ENZYME-APD/tapir-archicad-automation) utility.  

![GitHub Tag](https://img.shields.io/github/v/tag/runxel/perisso?style=flat&label=version)


## Overview
_Tapir_ provides a collection of tooling to assist the usage of the JSON API of Archicad.  
_Perisso_ is based on this fantastic work and provides a consolidated frontend for using tapir. This Python package aims to make it even easier to interact with and manipulate digital architectural model elements, by employing a fluent interface. This includes offering an efficient way to filter elements based on various criteria, and calling tapir functions those elements.


## Installation

1. Make sure you have the Tapir plugin for Archicad installed.
2. Install `perisso`.  
My recommendation: Always use [uv](https://docs.astral.sh/uv/). Use it for everything.

```bash
uv venv
uv pip install perisso
```

Alternatively, you just download the source files. Oldschool.


> [!WARNING]  
> Perisso is under development. Please expect breaking changes between versions.


## Usage

The simplest way is to just call `perisso()`. This will select all elements by default. To limit the elements to the current selection in Archicad use the `selection` parameter:
```python
sel_elem = perisso(selection=True)
```

Here is a basic example of how to use `perisso`:

```python
from perisso import perisso, Filter, ElType

elements = perisso()
filtered_elements = elements.filterBy(Filter.ELEMENT_TYPE).equals(ElType.COLUMN).get()
print(filtered_elements)
```

> [!CAUTION]
> The resulting element list is compatible with Tapir, but _not_ with the native [Archicad-Python connection](https://pypi.org/project/archicad/).  
For that you need to call the `toNative()` function on the perisso collection. The result uses the classes of the AC-Py connection and can then be fed into it.


See the [examples](https://github.com/runxel/perisso/tree/main/examples) for more.


> [!NOTE]  
> If a filter does _not_ apply the element concerned is silently removed (not _included_ in the result, that is). Example: A Property is not used on it.


## Contributing

Please open an issue or submit a pull request for any enhancements or bug fixes. Contributions are welcome, but might not be accepted until `perisso` reached a somewhat stable state.  
Formatting is done with [`ruff`](https://astral.sh/ruff).


## License

Perisso is licensed under the MIT License.