semvec/pypi-packages huggingface dataset:
image-processing-mmc 0.0.4
Image Processing Package using Skimage
Requires Python: >=3.8

# image_processing_mmc

Description. 
The package image_processing_dio is used to: 
	Processing:
		- Histogram matching
		- Structural similarity
		- Resized image
    Utils:
       - Read image
       - Save image
       - Plot image
       - Plot result
       - Plot histogram

## Installation

Use the package manager [pip](https://pip.pypa.io/en/stable/) to install image_processing_dio

```bash
pip install image_processing_mmc
```

## Author

monicacaetano

## License

[MIT](https://choosealicense.com/licenses/mit/)
Auto-Gradient-Boosting 1.0.0
Auto Gradient Boosting , is a mathematics API written in Python.
Requires Python: >=3.7

# Auto_Gradient_Boosting
Implementation of auto gradient boosting algorithm
This repository hosts the development of the Auto_Gradient_Boosting.

## About Awesome Linear Regression

Auto_Gradient_Boosting , is a mathematics API written in Python.
It was developed with a focus on enabling fast experimentation.
*Being able to go from idea to result as fast as possible is key to doing good research.*

Auto_Gradient_Boosting is:

-   **Simple** 
-   **Flexible** 
-   **Powerful** 

## First contact with Awesome Linear Regression

The core data structures of Auto_Gradient_Boosting are __consign__ and __result__.

For installation run :

```
pip install Auto-Gradient-Boosting

```

Here is an `exemple` :

```python
import numpy as np
from Auto_Gradient_Boosting import AGB


# Sample training data set

x = np.matrix([[0,1],[1,4],[7,8],[50,23]])
y = np.matrix([[2],[9],[23],[96]])

# Train the model
learning_rate = 0.01
agb = AGB(x,y,learning_rate)


```

Let make prediction

```python

 px = np.matrix([[4,7]])
 print(agb.predict(px))

```

---
## Support

You can ask questions and join the development discussion:

- [Facebook page](https://www.facebook.com/globalanalysistech) .

---
lifehacker-zh-pt1 2022.10.25.0
LifeHacker 博客中文翻译（一）
Requires Python: >=3.6

# LifeHacker 博客中文翻译（一）

> 原文：[LifeHacker](https://lifehacker.com/)
> 
> 协议：[CC BY-NC-SA 4.0](http://creativecommons.org/licenses/by-nc-sa/4.0/)
> 
> 阶段：机翻（1）
> 
> 没有所谓不变的道德，只有行得通与行不通。——《与神对话之新启示上》 

* [在线阅读](https://lh1.apachecn.org)
* [在线阅读（Gitee）](https://apachecn.gitee.io/doc-template/)
* [ApacheCN 学习资源](http://docs.apachecn.org/)
* [ApacheCN 翻译校对兼职群 713436582](https://jq.qq.com/?_wv=1027&k=VSNtgpjb)

## 贡献指南

为了不断改进翻译质量，我们特此启动了【翻译、校对、笔记整理活动】，开设了多个校对项目。贡献者校对一章之后可以领取千字2\~4元的奖励。进行中的校对活动请见[活动列表](https://home.apachecn.org/#/docs/activity/docs-activity)。更多详情请联系飞龙（Q562826179，V:wizardforcel）。

## 联系方式

### 负责人

* [飞龙](https://github.com/wizardforcel): 562826179

### 其他

*   在我们的 [apachecn/lifehacker-zh-pt1](https://github.com/apachecn/lifehacker-zh-pt1) github 上提 issue.
*   发邮件到 Email: `apachecn@163.com`.
*   在我们的 [组织学习交流群](https://www.apachecn.org/#/docs/join) 中联系群主/管理员即可.

## 下载

### Docker

```
docker pull apachecn0/lifehacker-zh-pt1
docker run -tid -p <port>:80 apachecn0/lifehacker-zh-pt1
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install lifehacker-zh-pt1
lifehacker-zh-pt1 <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g lifehacker-zh-pt1
lifehacker-zh-pt1 <port>
# 访问 http://localhost:{port} 查看文档
```

## 其它协议

霞鹜文楷采用 [SIL 开放字体协议 1.1](https://github.com/lxgw/LxgwWenKai/blob/main/SIL_Open_Font_License_1.1.txt)。

## 赞助我们

![](http://data.apachecn.org/img/about/donate.jpg)
arcus 1.2.11
Arcus API Client
Requires Python: >=3.6

# arcus-python
[![test](https://github.com/cuenca-mx/arcus-python/workflows/test/badge.svg)](https://github.com/cuenca-mx/arcus-python/actions?query=workflow%3Atest)
[![codecov](https://codecov.io/gh/cuenca-mx/arcus-python/branch/master/graph/badge.svg)](https://codecov.io/gh/cuenca-mx/arcus-python)
[![PyPI](https://img.shields.io/pypi/v/arcus.svg)](https://pypi.org/project/arcus/)
[![Downloads](https://pepy.tech/badge/arcus)](https://pepy.tech/project/arcus)


Arcus python3.6+ client library for API version 3.1 of [Arcus](https://www.arcusfi.com/).



## Install

```bash
$ pip install arcus
```


## Testing
```bash
$ make test
```

## Authentication and account info

Current version support direct endpoint calls.

```python
from arcus.client import Client

# Create an Arcus client instance
client = Client('your-api-key', 'your-secret-key')

# Get account info 
account_info = client.get('/account')

# create bill 
account_info = dict(biller_id=40, account_number='501000000007')
bill = client.post('/bills', account_info)

```


## Pay bills

```python
from arcus import Client

client = Client('your-api-key', 'your-secret-key')


# create bill
bill = client.bills.create(40, '501000000007')

# pay bill
transaction = bill.pay()

# refresh transaction
transaction.refresh()

# cancel transaction
cancellation = transaction.cancel()
assert cancellation['code'] == 'R0'
assert cancellation['message'] == 'Transaction successful'
assert transaction.status == 'refunded'
```

## Top-up
```python
from arcus import Client

client = Client('your-api-key', 'your-secret-key')

biller_id = 808080
phone_number = '5599992222'
amount = 100.0

# by default, currency is MXN
topup = client.topups.create(biller_id, phone_number, amount)

assert topup.bill_amount == 100.0

```


## Billers list

You can list all active billers or filter in a specific field
```python
from arcus.client import Client

# Create an Arcus client instance
client = Client('your-api-key', 'your-secret-key')

# Get all billers in Mexico which use MXN as currency
mx_biller_list = client.biller.list(country='MX', currency='MXN')

# Get all billers with an specific biller_type
electricity_biller_list = client.biller.list(biller_type='Electricity')
walk-sftp 0.0.28
Download SFTP files using a glob to get all files & also keep a log to keep track of processing

# WalkSFTP

This is project is a class that allows for a glob like sftp download to a temporary file and lets you process the downloaded data using processing_function. The log argument can be used to check if the get and process ran correctly so you can run and not pull files that have already been processed and keeps track of files based on their modified time. This uses threading to separate the glob sftp files and the process function.

## Installation

Run the following to install: 

```python
pip install walk_sftp
```

## Usage

```
from walk_sftp import WalkSFTP

def process(f)
	
	try:
		# if successfull
		return True
	except:
		# if unsuccessfull
		return False

WalkSFTP(
    ftp_web_address,
    username,
    password,
    start_date='2020-12-25', # optional
	end_date='2020-12-28', # optional
    print_out=True, # optional
    processing_function=process, # optional
    log='/some_path_to_log.p', # optional
)
```

## Development walk_sftp

To install walk_sftp, along with the tools you need to develop and run tests, run the following in your virtualend:
```bash
$ pip install -e .[dev]
```
image-processing-clp 0.0.1
Image Processing Package using Skimage
Requires Python: >=3.8

# package_name

Description. 
The package package_name is used to:
	Processing:
	- Histogram matching
	- Structural similarity
	- Resize image
	Utils:
	- Read image
	- Save image
	- Plot image
	- Plot result
	- Plot histogram

## Installation

Use the package manager [pip](https://pip.pypa.io/en/stable/) to install image_processing_clp

```bash
pip install image_processing_clp
```


## Author
Carlos_Eduardo

## License
[MIT](https://choosealicense.com/licenses/mit/)