semvec/pypi-packages huggingface dataset:
cli-qr-watermark 0.1.0
CLI tool to overlay semi-transparent QR codes on images

# cli-qr-watermark

![demo](https://i.imgur.com/XXXX.gif)

## Установка
```bash
pip install cli-qr-watermark

Быстрый старт

qrmark "photos/*.jpg" --url https://t.me/my_channel

Результат появится в папке ready.
Free tier
До 50 файлов бесплатно.
Больше — поддержите автора ☕ Buy me a coffee и установите переменную окружения QRMARK_PRO=1.
Лицензия
MIT
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────────────────────────
9. Лицензия и .gitignore
────────────────────────
9.1 LICENSE  
Скопируй MIT: https://choosealicense.com/licenses/mit/ → сохрани как `LICENSE`.

9.2 .gitignore
pycache/
*.pyc
venv/
build/
dist/
*.egg-info
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────────────────────────
10. GitHub-репозиторий
────────────────────────
10.1 Создай репо на GitHub  
• Зайди в https://github.com/new  
• Repository name: `cli-qr-watermark`  
• Public, Add README (не ставь, у нас уже есть), Add .gitignore (не выбирай), License (не выбирай).  
• Нажми «Create repository».

10.2 Заливаем код
```bash
git init
git add .
git commit -m "first commit"
git branch -M main
git remote add origin https://github.com/ВАШ_НИК/cli-qr-watermark.git
git push -u origin main
easybrevo 0.1.2
Use Brevo API with Python (the easy way)
Requires Python: >=3.13

# easybrevo

Use [Brevo API](https://developers.brevo.com/reference/) with Python (the easy way).

## Installation

```bash
pip install easybrevo
```

## Usage

First of all, you have to instantiate an API client:

```python
from easybrevo import ApiClient

client = ApiClient()
```

`ApiClient()` admits one argument `api_key` → Brevo API key (Generate from [here](https://developers.brevo.com/docs/getting-started#using-your-api-key-to-authenticate)).

> If `api_key` is not provided, its value will be collected from `BREVO_API_KEY` within a `.env` file or as an environment variable. Otherwise an error will raise.

### Sending an email

The quickest way to send an email is the following:

```python
client.send_email(
    to="hello@example.com",
    subject="This is the subject",
    content="This is the content"
)
```

#### Sender

`send_mail()` admits arguments `sender_email` and `sender_name` in order to set sender information when sending the email.

> If `sender_email` is not provided, its value will be collected from `BREVO_SENDER_EMAIL` within a `.env` file or as an environment variable. Otherwise a dumb default value is used.

> If `sender_name` is not provided, its value will be collected from `BREVO_SENDER_NAME` within a `.env` file or as an environment variable. Otherwise a dumb default value is used.

#### Content type

By default, the content of the email is intepreted as _plain text_, but this behaviour can be changed with the argument `content_type`:

- `content_type='txt'` → Text (default)
- `content_type='md'` → Markdown
- `content_type='html'` → HTML

#### Attachments

You can attach files to the email using `attachments` argument.

It can contain a single file (path) or a list of file paths to be included as attachments in the email.
this-is-vvvv 0.2
A lightweight Python library for generating random User-Agent headers for anonymity and testing.
Requires Python: >=3.6

# Smart AI Agent

This library is designed for professional anonymity. It is equipped with modern technologies to generate advanced user-agents. In addition, it can generate proxies, test them, and extract only the working proxies.

## Installation

```bash
pip install smart-Ai-agent
```
## Usage

Generate User-Agent for Various Operating Systems

```python
from smart_Ai_agent import RandUserAgent

user_agent = RandUserAgent.get_user_agent()
print(user_agent)
# can you use fixed divece
#   'iphone' ,  'windows', 'mac','linux' , 'tablet','random' 
# example used create iphone
user_agent = RandUserAgent.get_user_agent('iphone')
print(user_agent)

# Get a Random User-Agent for Phones Only

user_agent = RandUserAgent.get_random_mobile_ua()
print(user_agent)

```

## Create proxies
```python
from smart_Ai_agent import Proxy
# Bring the latest and best proxies
ip = Proxy(deep=False).get_proxy()    # deep=True    is used Deep Fetch Proxies
print(ip) # output list proxy
# To make a serial output
# use 
for i in ip:
    print(i)
    print('-'*40)

```
## CHECK PROXY

```python
from smart_Ai_agent import Proxy
ch , ip = Proxy.check('143.198.42.182:31280') # auto verify is True
print(ch,ip)
#Output  True , 143.198.42.182

# verify False
ch , ip = Proxy.check('143.198.42.182:31280',verify=False)


# verify True
ch , ip = Proxy.check('143.198.42.182:31280',verify=True)

```
# Extract and check proxies
```python
from smart_Ai_agent import Proxy
proxies = Proxy(deep=True).get_proxy()
for i in proxies:
    # print(i)
    ch,ip = Proxy.check(i)
    print(ch,ip)
    print('-'*40)
```