html code parser

Description:

HTML Structure

hideAlert()`: Hides the alert when the close button is clicked.

convert()`: Simulates code parsing (replace alert with actual parsing logic).

CSS Styles**: Basic styling to make the interface visually appealing.

copyToClipboard()`: Copies the textarea content to the clipboard and shows the alert.

Code copied to clipboard

Below are examples of how to parse different types of data using Python.

### 1. Parsing JSON

Using the `json` library to parse JSON data.

```python
import json

# Sample JSON string
json_string = '{"name": "John", "age": 30, "city": "New York"}'

# Parse JSON
data = json.loads(json_string)

# Accessing data
print(data["name"])  # Output: John
print(data["age"])   # Output: 30
```

### 2. Parsing XML

Using the `xml.etree.ElementTree` module to parse XML data.

```python
import xml.etree.ElementTree as ET

# Sample XML string
xml_string = '''

    John
    30
    New York

'''

# Parse XML
root = ET.fromstring(xml_string)

# Accessing data
name = root.find('Name').text
age = root.find('Age').text

print(name)  # Output: John
print(age)   # Output: 30
```

### 3. Parsing CSV

Using the `csv` module to parse CSV files.

```python
import csv
from io import StringIO

# Sample CSV data
csv_data = """name,age,city
John,30,New York
Doe,25,San Francisco
"""

# Parse CSV
reader = csv.DictReader(StringIO(csv_data))

for row in reader:
    print(row['name'], row['age'], row['city'])
    # Output: 
    # John 30 New York
    # Doe 25 San Francisco
```

### 4. Parsing Command Line Arguments

Using the `argparse` module to parse command line arguments.

```python
import argparse

# Creating the parser
parser = argparse.ArgumentParser(description='Example of parsing arguments.')

# Adding arguments
parser.add_argument('--name', type=str, help='Your name')
parser.add_argument('--age', type=int, help='Your age')

# Parse the arguments
args = parser.parse_args()

# Accessing data
print(f'Name: {args.name}, Age: {args.age}')
```

### 5. Parsing HTML

Using `BeautifulSoup` from the `bs4` library to parse HTML.

```python
from bs4 import BeautifulSoup

# Sample HTML
html = '
Welcome
Hello, world!
'

# Parse HTML
soup = BeautifulSoup(html, 'html.parser')

# Accessing data
print(soup.h1.text)  # Output: Welcome
print(soup.p.text)   # Output: Hello, world!
```

These examples demonstrate parsing various formats using Python. You can adapt them based on your specific needs!