semvec/pypi-packages huggingface dataset:
georise 0.0.3
A Python Library Built on GDAL for Visualization of Geospatial Maps
Requires Python: >=3.6

# Georise

`Georise` is a Python library built for interactive visualization of geospatial maps. It leverages the power of GDAL and PyQtGraph to provide a user-friendly, high-performance mapping solution. With its simple, Matplotlib-like API, it aims to make geospatial visualization accessible and easy.

**Please note:** Georise is currently in early development and may not be suitable for major use. However, it is being actively developed and improved every day.

### Features

- Interactive visualization of geospatial maps
- Handles map distortion, latitude and longitude, and correct multi-dimensional scaling
- Supports raster type files such as GeoTIFF and DTED (with plans to support point cloud and LIDAR data types)
- Simple, familiar API for ease of use

### Installation
Before installing Georise, you will need to install the following dependencies:

- OSGeo (which includes GDAL)
- PyQt5

Please consult the respective documentation for detailed installation instructions for your operating system. With the prerequisites installed, you can install georise using pip:
```bash
pip install georise
```

The following example demonstrates how to use Georise to display a raster terrain from a GeoTIFF file.


```python
import georise.scene

if __name__ == '__main__':
    # Instantiate the scene
    gplt = georise.scene.GRRasterScene()

    # Add terrains from filepath (use skip to save on memory)
    gplt.raster("test_raster.tif", skip=4)

    # Show rasters using a matplotlib-like API
    gplt.show()
```

### Documentation
More detailed documentation will be provided as the project matures. Keep an eye on this space for updates!

### Contributing
Georise is an open-source project, and contributions are welcome! If you'd like to report a bug, request a feature, or contribute code, please use the GitHub repository to submit issues or pull requests.

### License
Georise is released under the MIT License.
caddo-tool 0.17.1
Benchmark Tool for CaddoBenchmark Project
Requires Python: >=3.7

# Caddo Benchmark Tool

This repository contains files for Caddo Benchmark.

## 🔌 How to run?

#### Install via pip

```
user@computer:~$ pip install caddo-tool
```

#### Implement all benchmark functions and run from command line
```
user@computer:~$ caddo_tool
```

## 📓 Any documentation?

Yes, check wiki...
fidor.py 1.0
A generator for random words, sentences and paragraphs.

# fidor
A generator for random words, sentences and paragraphs.

## Installation
```
pip3 install fidor
```
or
```
pip install fidor
```

## Example
```py
import fidor

print(fidor.generate_word())
# pudirik (wtf is this lmao)

print(fidor.generate_sentence(sentence_len=6)) 
# Diper, neducok fulitul yepiz eladu litoyi. (tottaly right 👍)

print(fidor.generate_paragraph(paragraph_len=1))
# Fidor tenaha, vas hadu ilah. Muhek habam kede... (agreed)
```
nsk-backupr 0.2.1
A backup runner designed to tar up a root directory, optionally encrypt it, and upload to remote storage.
Requires Python: >=3.10,<4.0

# backupr
[![codecov](https://codecov.io/gh/eriknelson/backupr/branch/main/graph/badge.svg?token=9794C1TWTD)](https://codecov.io/gh/eriknelson/backupr)

A backup runner designed to tar up a root directory, optionally encrypt it,
and upload to offsite backup.

Currently supported providers:
* https://www.backblaze.com/b2/cloud-storage.html
WiFi-Opens 1.0.0
Простой инструмент для получения списка всех имён сетей WiFi и их пароля, к которым когда-либо был подключён ПК.
Requires Python: >=3.6

# <p align="center">WiFi_Opens 🔐

<p align="center">Простой и в то же время полезный инструмент для получения списка всех имён сетей WiFi и их пароля, к которым когда-либо был подключён Ваш ПК!
<p align="center">Работает отлично как на Linux, так и на Windows! Но это ещё не всё, данный инструмент также работает и на Android!

## ⚡️ Установка

### Для Linux и Termux:
```python
pip3 install WiFi_Opens
```

### Для Windows:
```python
pip install WiFi_Opens
```
<br>

## 🌀 Использование

### Код на Python:
```python
from WiFi_Opens import WiFi

# Вызов функции получения всех имён wifi и их паролей
wifi = WiFi.wifi()

# Вывод списка всей информации
print(wifi)
```
### Результат:
```python
>>> [['Network 1', 'Password'], ['Network 2', 'Password2'], ['TestNet', 'qwerty12'], ['Free WiFi', 'Отсутствует']]
```
<br>

## 💎 Связь
 - **[Telegram](https://t.me/MY_INSIDE_DREAM)**