semvec/pypi-packages huggingface dataset:
pybsky 0.0.20
Python Client for bsky social media
Requires Python: >=3.10

# Pybsky

<div align='center'>

![./a](./assets/cover.png)

</div>

# Requirements
Python 3.10+

Pybsky stands on the shoulder of:
- requests package

# Installation
<div class="termy">

```console
 $ pip install pybsky

---> 100%
```
</div>

## Feature List:

- [x] Create Client
- [x] Add Login logic
- [x] Get Profile logic
- [x] Get Follwer/Following logic
- [x] Follow/Unfollow
- [x] Get likes
- [x] Get post, thread via replies
- [x] Get Author Feed/Timeline
- [x] Create post (text and image)
- [x] Get List Notifications
- [x] Update Seen Notification

## License

[![License](http://img.shields.io/:license-mit-blue.svg?style=flat-square)](http://badges.mit-license.org)

- This project is licensed under the terms of the **[MIT license](LICENSE)**
citlalicue 0.7.1
Create stellar light curves!
Requires Python: >=3

# Citlalicue

### Oscar Barragán (Sept 2020)

*_Citlalicue_* is the name of the Aztec Goddess who created the stars. 
This code allows you to mimic Citlalicue powers to create and manipulate stellar light curves.

The actual version of the code allows you to create synthetic stellar light curves (transits, stellar variability and white noise)
and detrend light curves using Gaussian Processes (GPs). 

##### Dependencies:

* Numpy
* Matplotlib
* Scipy
* [PyTransit](https://github.com/hpparvi/PyTransit)
* [george](https://github.com/dfm/george)


##### Try it now!

Install it by typing

```
pip install citlalicue
```

### Simulate light curves

Transits are implemented using [PyTransit](https://github.com/hpparvi/PyTransit), 
while the stellar variability is added from samples of a Quasi-Periodic Kernel with covariance given by

<a href="https://www.codecogs.com/eqnedit.php?latex=\gamma(t_i,t_j)&space;=&space;A&space;\exp&space;\left[&space;-&space;\frac{\sin^2[\pi(t_i&space;-&space;t_j)/P_{\rm&space;GP}]}{2&space;\lambda_{\rm&space;P}^2}&space;-&space;\frac{(t_i&space;-&space;t_j)^2}{2\lambda_{\rm&space;e}^2}&space;\right]" target="_blank"><img src="https://latex.codecogs.com/gif.latex?\gamma(t_i,t_j)&space;=&space;A&space;\exp&space;\left[&space;-&space;\frac{\sin^2[\pi(t_i&space;-&space;t_j)/P_{\rm&space;GP}]}{2&space;\lambda_{\rm&space;P}^2}&space;-&space;\frac{(t_i&space;-&space;t_j)^2}{2\lambda_{\rm&space;e}^2}&space;\right]" title="\gamma(t_i,t_j) = A \exp \left[ - \frac{\sin^2[\pi(t_i - t_j)/P_{\rm GP}]}{2 \lambda_{\rm P}^2} - \frac{(t_i - t_j)^2}{2\lambda_{\rm e}^2} \right]" /></a>

Check the example of how to use Citlalicue to create light curves in the link
[example_light_curves.ipynb](https://github.com/oscaribv/citlalicue/blob/master/example_light_curves.ipynb).

### Detrend light curves

Check the example of how to use Citlalicue to detrend light curves in the link
[example_detrending.ipynb](https://github.com/oscaribv/citlalicue/blob/master/example_detrending.ipynb).
coolpandas 0.4.7
A Python package for Exploratory Data Analysis.
Requires Python: >=3.10

# 🐼 CoolPandas

![main-unit-testing workflow](https://github.com/adocquin/coolpandas/actions/workflows/main-unit-testing.yaml/badge.svg)
[![Coverage Status](https://coveralls.io/repos/github/adocquin/coolpandas/badge.svg)](https://coveralls.io/github/adocquin/coolpandas)
[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)

A Python package for Exploratory Data Analysis.

## Development

### Setup

Execute:

```bash
pip install -r requirements.txt
pre-commit install
pre-commit autoupdate
```