semvec/pypi-packages huggingface dataset:
proportional-navigation 1.1.2
A package to do proportional navigation
Requires Python: >=3.6

# Proportional Navigation
![Test](https://github.com/iwishiwasaneagle/proportional_navigation/workflows/Python%20package/badge.svg) [![PyPI version](https://badge.fury.io/py/proportional-navigation.svg)](https://badge.fury.io/py/proportional-navigation) ![PyPI - Python Version](https://img.shields.io/pypi/pyversions/proportional_navigation) [![Coverage Status](https://coveralls.io/repos/github/iwishiwasaneagle/proportional_navigation/badge.svg?branch=master)](https://coveralls.io/github/iwishiwasaneagle/proportional_navigation?branch=master) [![Downloads](https://pepy.tech/badge/proportional-navigation)](https://pepy.tech/project/proportional-navigation)

A package to easily do [proportional navigation](https://en.wikipedia.org/wiki/Proportional_navigation). This navigation equation is popular for target-persuader Line-of-Sight applications, such as missiles. The popularity stems partially from it's simple implementation, and effectiveness.

## Explanation on notation

From the below figure, it is clear that we are using velocity/heading model for each body (`proportional_navigation.HeadingVelocity(psi,x,y,V)`). Such that V is the magnitude of velocity, psi is heading relative to world x-axis, and x and y of the body is relative to the world axes. However,`proportional_navigation.GlobalVelocity(x,y,xd,yd)` also exists for convenience.

![Axes](images/axes.png)

## Installation

```bash
git clone https://github.com/iwishiwasaneagle/proportional_navigation
cd proportional_navigation
python setup.py install
```
```bash
pip install proportional_navigation
```
tunga-tahtaciburak 0.0.1
Tunga Core Library
Requires Python: >=3.6

<p align="center">
    <img src="images/tunga.png" width="480"\>
</p>

## tunga: Agile Text Analytics Platform
Tunga, düzensiz metin veri setlerinden değerli bilgiler üretebilmek için geliştirilmiş ve tüm metin işleme sürecini 
hızlandıran web tabanlı ve açık kaynak bir SaaS uygulamasıdır. Bu proje Açık Kaynak Doğal Dil İşleme Hackathon'u sürecinde
geliştirilmiştir.

## İçindekiler
1. Icindekileri
2. Buraya
3. Yazmaliyiz
4. Basliklar
5. Halinde

## Kurulum İşlemi
1. ```docker run --rm --name docker-postgres -e POSTGRES_PASSWORD=password -d -p 5432:5432 -v ~/data/docker/postgres:/var/lib/postgresql/data postgres```
2. Veritabanı işlemleri için aşağıdaki sıra takip edilmelidir.
    1. ```db create```
    2. ```db init```
    3. ```db migrate```
3. ```docker exec -it docker-postgres /bin/bash```
4. ```su postgres```
5. ```psql```
6. ```create database tunga;```
7. ```create database tunga_test;```
8.Backend dizinine gidip ```python3 manage.py runserver -p 8080```
9.Frontend dizinine gidip ``` npm start```

## Sistem Diyagramı
<p align="center">
    <img src="images/tunga_system_diagram.png" width="480"\>
</p>

## Kullandığımız Kaynaklar
For deasciify methods : pip3 install git+https://github.com/emres/turkish-deasciifier.git

For asciify methods: git clone https://github.com/starlangsoftware/TurkishDeasciifier-Py.git

Turkish name list : https://gist.github.com/emrekgn/b4049851c88e328c065a

Stop word: https://github.com/ahmetax/trstop/blob/master/dosyalar/turkce-stop-words

Kufur tespit list: https://github.com/ooguz/turkce-kufur-karaliste/blob/master/karaliste.txt

For Summary : https://github.com/Eruimdas/turkish_text_summarization/blob/master/Extraction_Based_Text_Summarization.ipynb
asos-curl 1.0.4
ASOS executor plugin for HTTP(s) requests
Requires Python: >=3.6

# asos-curl
ASOS executor plugin for HTTP(s) requests

## Parameters

You can configure the executor by setting the following parameters in the task:

```json
{
	"url": "https://example.com/",
	"method": "GET",
	"get_params": {"param": "value"},
	"post_data": {"item": "content"},
	"no_dump": true
}
```

Supported methods: GET, POST, PUT, PATCH, OPTIONS

## ASOS Task example

```json
{
  "url": "https://example.com/api/dance",
  "task_type": "curl",
  "get_params": {
    "page": 1,
    "perPage": 8,
    "filter": true
  },
  "request_type": "GET",
  "task_interval": 60
}
```
remote-gource 0.0.1
A wrapper around Gource which can read commits from third parties (Github etc)
Requires Python: >=3.6

# Remote Gource

This is a wrapper around [Gource](https://gource.io/) which pulls commit data from a remote source (e.g. Github, Bitbucket etc).

This makes it easier to generate multi-repo Gource outputs based on a team workspace/organisation.
rsgis 0.0.3
A python package for basic to advanced GIS operations
Requires Python: >=3.6

### Content
 - [Current release](#Current_Release)
 - [Future release](#Future_Release)
 - [Installation](#Installation)
 - [Quick tutorial](#Quick_Tutorial)
 - [Command line Use](#Command_Line_Use)
 - [Running the tests](#Running_The_Tests)
 - [Authors](#Authors)
 - [License](#License)
 

# rsgis
A python package for basic to Advanced GIS operations.

# Current_Release 
- Metadata support module for landsat
- Landsat module for landsat bands extraction and manipulation

# Future_Release 
- Metadata support for other file formats(sentinel,NetCDF etc)
- A one liner for basic to advanced GIS operations
- NDVI,NDWI,NDBI
- Image subsetting/clipping support
 
# Installation
The package is available on the python package index(Pypi),to install use the command below;
### Python version 3.0 +<br>
  ```python
        pip install rsgis
  ```

# Quick_Tutorial
### Using the landsat module <br>
```python
     #import the module
    from rsgis import landsat
    
    #Extract all files
    data = landsat.extract(path/to/landsat/dataset)

    #To check path to extracted data
    data.path

    #Extract specific bands
    #Here we will extract the metadata = 0, band1 = 1 and band2 = 2

    data = landsat.extract(path/to/landsat/dataset, bands = [0, 1, 2])
    
    #Get metadata path
    data.get_metadata()
    
    #Get path(s) to specific band(s)
    #In this example, we will be getting band4 and band5
    data.get_bands(4, 5)

```
### Using the Metadata module with the Landsat Module <br>
```python
    #import the class
    from rsgis import Metadata,landsat
    data = landsat.extract(path/to/landsat/dataset)
    meta_path=data.get_metadata()
    mtd=Metadata(meta_path)
    #usage
    mtd.get('SUN') #to get a single parameter. Might return a list of dict if found multiple match. Be specific to avoid this.
    
    mtd.get_all() #returns a dict of all available parameters in the metadata file
    
    mtd.get_some(['sun','path','row']) #To get multiple parameters. Returns a list of values.
``` 
# Command_Line_Use
Change directory into the rsgis folder to run
```shell script

    python main.py --dir_path [path/to/metadata/file] --get [parametr to get]
    #This command returns the result of the --get query 
```      
# Running_The_Tests

 Paste a metadata file in the data dir(delete old one) in tests and cd into the test dir then run in terminal<br>

    python metadata_test.py 
 If no error,then you can go ahead to do some magic.
# Contributing

 PRs and issues are welcomed and not limited to the following:
 - Code documentation
 - Refactoring
 - Adding support for other metadata file types etc
 
# Authors
**Jolaiya Emmanuel** - [Twitter](https://twitter.com/jeafreezy), [Email](jolaiyaemmanuel@gmail.com) <br>
**Oke Matthew** - [Email](matthewoke16@gmail.com) <br>

# License
This project is licensed under the Apache 2.0 License - see the [LICENSE.md](LICENSE.md) file for details
rmwrapper 0.0.1
Minimal wrapper for Redditmetrics
Requires Python: >=3.6

## A simple Python wrapper Redditmetrics.com 

Installation
------------

   ```pip install rmwrapper```

Description
-----------
A very minimal wrapper for [Redditmetrics](https://redditmetrics.com).
Redditmetrics is a website that contains historical and recent data from all around [Reddit](https://reddit.com), be it subreddit-specific or general. This package aims to make it more comfortable to use that data with a simplistic interface, since Redditmetrics itself doesn't provide an API. 

Example usage
-------------------
```python
from rmwrapper import RedditMetricsWrapper

# Subreddit-specific methods take the subreddit names as arguments.
RedditMetricsWrapper.subreddit_get_current_subscribers("lain")

# Non-subreddit-specific methods don't take any arguments.
RedditMetricsWrapper.get_fastest_growing_today()

```
List of all available functions
-------------------
Subreddit-specific:
```python
subreddit_get_subscriber_growth_data(subreddit) # Returns the entire available timeline for a specific subreddit and how many subscribers it gained per day.

subreddit_get_subscriber_growth_data(subreddit) # Returns the entire available timeline for a specific subreddit and how many subscribers it had each day.

subreddit_get_rank_data(subreddit) # Returns the entire available timeline for a specific subreddit and what the subreddit rank for it was.

subreddit_get_current_subscribers(subreddit) # Returns the current subscriber count for a specific subreddit.

subreddit_get_current_rank(subreddit) # Returns the current rank for a specific subreddit.
```
General:
```python
get_fastest_growing_today() # Returns 300 fastest growing subreddits today.
get_fastest_growing_week() # Returns 300 fastest growing subreddits this week.
get_fastest_growing_month() # Returns 300 fastest growing subreddits this month.

get_non_default_reddits_today()  # Returns top 300 non-default subreddits today.
get_non_default_reddits_week()  # Returns top 300 non-default subreddits this week.
get_non_default_reddits_month()  # Returns top 300 non-default subreddits this month.

get_top_new_reddits_today()  # Returns top 300 new subreddits today.
get_non_default_reddits_week()  # Returns top 300 new subreddits this week.
get_non_default_reddits_month()  # Returns top 300 new subreddits this month.

get_new_reddits_trending_month() # Returns top 300 trending subreddits this month.
get_new_reddits_trending_3_months() # Returns top 300 trending subreddits in the last 3 months.
get_new_reddits_trending_6_months() # Returns top 300 trending subreddits in the last 6 months.

get_top_n_reddits(n) # Returns top n amount of subreddits sorted by subscriber count.
```