semvec/pypi-packages huggingface dataset:
eo-learn-stac 0.1.1
eo-learn tasks for consuming SpatioTemporal Asset Catalogs (STAC)
License: MIT

# eo-learn-stac

[eo-learn](https://eo-learn.readthedocs.io/en/latest/) tasks for consuming
[SpatioTemporal Asset Catalogs](https://stacspec.org/) (STAC).

It provides a `STACInputTask` task class that, similarly to `SentinelHubInputTask`,
queries a STAC catalog, fetches images from a time interval and bounding box, 
and finally creates time-dependant EOPatches.

*Work in progress*

<!-- pyscaffold-notes -->

## Contributing

Bug reports and pull requests are welcome on GitHub at the [issues
page](https://github.com/dymaxionlabs/eolearn-stac). This project is intended
to be a safe, welcoming space for collaboration, and contributors are expected
to adhere to the [Contributor Covenant](http://contributor-covenant.org) code
of conduct.

## License

This project is licensed under MIT. Refer to [LICENSE.txt](LICENSE.txt).
tumblr-scraper 0.1.0
A command-line scraper written in Python for tumblr.
License: MIT
Requires Python: >=3.7
Keywords: tumblr,scraper,download,images,videos

# tumblr-scraper

*tumblr-scraper* is a command-line tool written in Python for scraping photos and videos from tumblr blogs.

<a href="https://pypi.org/project/tumblr-scraper/"><img src="https://img.shields.io/pypi/pyversions/tumblr-scraper" alt="Python versions"></a>
<a href="https://pypi.org/project/tumblr-scraper/"><img src="https://img.shields.io/pypi/v/tumblr-scraper" alt="PyPI"></a>
<a href="https://github.com/giosali/tumblr-scraper/blob/main/LICENSE"><img src="https://img.shields.io/pypi/l/tumblr-scraper" alt="license"></a>
<a href="https://github.com/giosali/tumblr-scraper"><img src="https://img.shields.io/badge/code%20style-black-000000.svg" alt="code-style: black"></a>

## Installation

To get started, you can install *tumblr-scraper* by using `pip`:

```console
$ pip install tumblr-scraper
```

*tumblr-scraper* supports Python 3.7+.

## Usage

You can scrape the media from a blog by running:

```console
$ tumblr-scraper <blog>
```

All of the media will be downloaded in a directory named after the blog in your current working directory: `<cwd>/<blog>`

### Arguments

Here are the command-line arguments available:

```
usage: tumblr-scraper [-h] [-v] blog

positional arguments:
    blog            The name of the tumblr blog

optional arguments:
    -h, --help      show this help message and exit
    -v, --verbose   Enable debugging
```
aafragpy-serkol 0.8.45
Python package for calculation of secondary particle production in nuclear interactions
License: MIT
Requires Python: >=3.6

# aafragpy

Python implementation of secondary particle production model AAFrag (based on QGSJEt-II-04m). The code is modified after the original AAFrag code written on Fortran [1].

This package allows to quickly reconstruct the differential cross-sections of secondary gammas, leptons, and hadrons producing in a result of hadronic interaction between primary hadrons and different targets.

The package allows to calculate the spectrum of products knowing the spectra of primary particles and the composition of the target in the wide energy range from hundreds of MeV to EeVs.

Additional consideration of low-energy nuclear interactions is also possible using Kamae et al. 2006 [2] and Kafexhiu et al. 2014 [3] codes.

#### Installation

The package is easy to install using pip:

`pip install -i https://test.pypi.org/simple/ aafragpy-serkol`

#### Tutorial

Tutorial of package usage is given in the Jupiter Notebook.

You can also get started quickly using [Binder](http://mybinder.org) to run the tutorial in
your web browser within a remote server:

[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/skoldobskiy/aafragpy/HEAD?filepath=aafragpy_tutorial.ipynb)

---

Comments are welcome!

---

If you are using aafragpy, please cite us as:

TBA

---

#### References:

[1] M. Kachelrieß, I. V. Moskalenko, and S. Ostapchenko, “AAfrag: Interpolation routines for Monte Carlo results on secondary production in proton-proton, proton-nucleus and nucleus-nucleus interactions,” Comput. Phys. Commun., vol. 245, p. 106846, 2019. <https://doi.org/10.1016/j.cpc.2019.08.001>  

[2] T. Kamae, N. Karlsson, T. Mizuno, T. Abe, and T. Koi, “Parameterization of γ, e+-, and Neutrino Spectra Produced by p-p Interaction in Astronomical Environments,” Astrophys. J., vol. 647, no. 1, pp. 692–708, Aug. 2006. <https://doi.org/10.1086/505189>  

[3] E. Kafexhiu, F. Aharonian, A. M. Taylor, and G. S. Vila, “Parametrization of gamma-ray production cross-sections for pp interactions in a broad proton energy range from the kinematic threshold to PeV energies,” Phys. Rev. D - Part. Fields, Gravit. Cosmol., vol. 90, no. 12, pp. 1–19, Jun. 2014. <https://doi.org/10.1103/PhysRevD.90.123014>