semvec/pypi-packages huggingface dataset:
pyduinocoin 1.0.5
pyDuinoCoin is a simple python integration for the DuinoCoin REST API, that allows developers to communicate with DuinoCoin Master Server.
Requires Python: >=3.5
Keywords: DUCO,DuinoCoin,api-rest,python3,duino,duino-coin,api,client,REST,crypto,coin

# PyDuinoCoin
![Build Status](https://travis-ci.com/BackrndSource/pyduinocoin.svg?branch=master)

PyDuinoCoin is a simple python integration for the [DuinoCoin REST API](https://github.com/revoxhere/duco-rest-api), that allows developers to communicate with DuinoCoin Main Server.

## Install

> PyDuinoCoin is available on the Python Package Index (PyPI):
https://pypi.python.org/pypi/pyduinocoin

You can install PyDuinoCoin using pip.

```bash
$ pip install pyduinocoin
```

### Making queries

You can use the `DuinoClient` object instance to perform queries. 

Most methods of the `DuinoClient` class have the same name as the REST API endpoints.

> Check out the REST API Documentation: https://github.com/revoxhere/duco-rest-api

All responses will return a `DictObj` object or a `list` object. All `dict` objects in the response will be transformed into `DictObj`. You can access to the data of a `DictObj` object as you would with a `dict` object, or do it through the attributes. An example to illustrate this:

```python
client = DuinoClient()
response = client.user('example')

# It is the same::
for response['balance']['username']
for response.balance['username']
for response['balance'].username
for response.balance.username # I love this one

# DictObj is iterable:
for key, value in response.items():
    print(key)
    print(value)
```

## Examples

Usage examples can be found in the [/examples](https://github.com/BackrndSource/pyduinocoin/blob/master/examples) folder of the project

## Tests

You can run the tests via the command line.

Place your terminal at the root of the project and run the following command.

```bash
$ python -m unittest discover tests "*_test.py"
```

## Greetings

[@revoxhere](https://github.com/revoxhere) by [duco-rest-api](https://github.com/revoxhere/duco-rest-api) for the REST API documented.
[@dansinclair25](https://github.com/dansinclair25) by [duco-rest-api](https://github.com/dansinclair25/duco-rest-api) for the original REST API.
soraha-utils 0.0.17
soraha_utils
Requires Python: >=3.8

# soraha_utils
## 这是什么?
羽衣从杂物箱里翻出来的乱七八糟的工具们,但现在已经把这项轻松工作丢给精灵们了,真的很懒呢！
## 内容
- 此处仅介绍拥有的功能,具体使用请查阅函数注释
- 装饰器sync_with_hook|async_with_hook: 对hook功能的简单实现,可以做到优先调用预处理A函数->注册的特定函数->结束B函数
- uilog: 对loguru的再次封装,改成了自己常用的样子
- sync_uio|async_uio:尝试性的对文件处理的不同方法统一为一个函数,可以传递url保存json/图片,或者传递数据保存json/任意文本/图片
- uiclient: 同上,尝试性的将自己各种项目的重复网络请求代码统一,增加了统一的log输出以及uitry的功能,同步基于requests,异步基于httpx
- uitry: 简单的重试函数的实现
- sync_to_async: 懂的都懂(……?)
## 为什么要写这个
- 重复的代码太多了呜呜呜,大家都有轮子,我也得造一个
## 未来期望
* [ ] 会逐渐把所有重复率高的代码加进去
* [ ] 因为常用nonebot,可能加入相关内容,也可能单独开个wheel
* [ ] 尝试将自己项目中相对好用的功能提取出来(例如搜图搜本功能)
## 更新日志
### 0.0.17 (2022/2/11)
- 修复
  - 全体目光向我看齐，我宣布个事，我……(总之就是很弱智的bug！)
### 0.0.16 (2022/2/11)
- 优化
  - 简单整理了一下文件结构,再也不用一堆乱七八糟的py文件堆在一个文件夹啦
  - 更改了一下readme文件使其更简洁(有吗?)
### 0.0.15 (2021/12/2)
- 修复retry重复的问题
- 新增exception: Uitry_END_Trying
  - 用于抛出以主动跳出uitry
> 诶?为什么0.0.10~0.0.14的更新日志没写?忘光了……
### 0.0.9 (2021/11/2)
- 修复由于打错字导致的bug(逃
### 0.0.8 (2021/10/20)
- 修复uiclient的相关问题(headers加入过多无意义内容导致返回出现问题)
### 0.0.7 (2021/10/19)
- 简化uio的save_file,减少了重复代码,用pathlib替代os.path

## LICENSE!
请给我钱 License  
版权所有(c) 2021 shiying  
1. 任何人都可以使用、复制、修改、合并、发布、分发本软件的副本
2. 用于商业化或修改后需要闭源请征得作者同意
3. 禁止单独将该软件的副本出售
4. 本软件不包含任何形式的明示或暗示
5. 作者不对本软件的任何第三方修改版负责
6. 作者对软件的可用性及稳定性不做任何保证(但应该会持续更新且debug！)
7. 作者不清楚这个软件在干嘛,但是作者很可爱
8. 由上：请给作者PR或issue！谢谢
9. 祝你好运
10. 大家一起开心的掉头发吧！
helloworld-test-xz 0.0.1
say hello

# Hello world

My example! Based on: https://www.youtube.com/watch?v=GIF3LaRqgXo

## installation
``` python
pip3 install helloworld
```

## Usage
``` python
from helloworld import say_hello
say_hello()
say_hello('A')
```

# devloping
To install and along with the tools you need to develop and run tests, run the following in your virtualenv.
```bash
$ pip3 install -e .[dev]
```
nhentaidevs 1.2.0
Mini Nhentai Doujins Scraper/Downloader.
Requires Python: >=3.8
Keywords: nhentai,download,images,doujinshi,cli,scraper

### NhentaiDevs - Nhentai Scraper - 1.1.3

---

This is my basic Nhentai Scraper for downloading images and fetching
information from [nhentai.net](https://nhentai.net)
using bs4, requests and other required modules.

---

>Installation and Single Code Use (replace pip and python with pip3 and python3 for linux):
```shell
pip install --upgrade nhentaidevs
python -m nhentaidevs your_code
```

---

#### For Multi-Code Use

---

>For Windows and Linux (replace python with python3 for Linux):
```shell
python -m nhentaidevs init
```

This will create CodesHere.code file, where you can put all
your codes for multi-download purposes.

```toml
[Nhentai]
codes=[] # Insert your code/s in the 'codes' block (Use ',' for multi-codes)

# Example:
# codes=[177013, 228922, 4299]
```

Finally, download your codes in the CodesHere.code file by simply running:

>For Windows and Linux (replace python with python3 for Linux):
```shell
python -m nhentaidevs
```

> Note: Please update to the latest version as possible :>
Data4FAE 0.0.1
Python package for Satellogic interview
Keywords: python,first package

# 2Data4FAE

For this task, the developer has selected the [mc52-syum](https://data.nasa.gov/Space-Science/Fireball-And-Bolide-Reports/mc52-syum) database, whith contains information on the date and time of each fireball event, its geographic location, its altitude and velocity at peak brightness, its approximate total optical radiated energy and its calculated total impact energy.
(Fireballs and bolides are astronomical terms for exceptionally bright meteors that are spectacular enough to to be seen over a very wide area.)

**Depencencies:**

 - [ ] [Pandas](https://pypi.org/project/pandas/) 
 - [ ] [Seaborn](https://pypi.org/project/seaborn/)
 - [ ] [matplotlib](https://pypi.org/project/matplotlib/)
 - [ ] [folium](https://pypi.org/project/folium/)
 - [ ] [dms2dec](https://pypi.org/project/dms2dec/)

## 2.1 Obtaining information and generating plots

This part is focused on the data analysis and generating plots, maps and export the raw data to PDF. The sub-structure is as follows:

 1. Obtain the data
 2. Create Pandas dataframe
 3. inspect the dataframa
 4. graph some variables
 5. Plot points provided by the dataset in a map
 6. Store some information in PDF to be acces by somebody.


## 2.2 Project migration to Python package
The project was updated in order to be compliant with the pip structure. The files that needed to be packaged were created and added to this repository.
traxion-library 0.0.2
AES Everywhere - Cross Language Encryption Library, Totp
Requires Python: >=2.7

## [Python](https://www.python.org/) implementation

Python versions >= 2.7, < 3.8

### Installation
```shell
pip install traxion_library
```


### Usage

```python
from AesEverywhere import aes256
from Totp import totp

# encryption
encrypted = aes256.encrypt('TEXT', 'PASSWORD')
print(encrypted)

# decryption
print(aes256.decrypt(encrypted, 'PASSWORD'))

# generate Totp
# secret key provided by Traxion Dev
print(totp.generate("secret_key"))
```