EM Proxy

Go through the "Control Panel" to the "Browser Properties" section. Open the "Connections" tab, and then by clicking on the "Network settings" button at the bottom, uncheck the "Proxy server" box. Also uncheck the "Auto-detection" checkbox under "Auto-configuration".

Create the first profile by specifying its name and selecting the desired configuration. The configuration is a non-repeating combination of different versions of the operating system and browser. After setting the language, open the "Network" tab and select the type of proxy (socks5 or https). Now it remains only to fill in the data in the highlighted fields to complete the installation of the proxy.

Yes, you can speed up XML parsing using Python's ElementTree module by following some optimization techniques. Here are a few tips

1. Use Iterative Parsing (iterparse)

Instead of using ElementTree.parse(), consider using ElementTree.iterparse() for iterative parsing. It allows you to process the XML tree element by element, reducing memory usage compared to parsing the entire tree at once.

import xml.etree.ElementTree as ET

for event, element in ET.iterparse('your_file.xml'):
    # Process the element here
    pass

2. Use a Streaming Parser

ElementTree is a tree-based parser, but for large XML files, consider using a streaming parser like xml.sax or lxml. Streaming parsers read the XML file sequentially, avoiding the need to load the entire document into memory.

import xml.sax

class MyHandler(xml.sax.ContentHandler):
    def startElement(self, name, attrs):
        # Process the start of an element

    def endElement(self, name):
        # Process the end of an element

parser = xml.sax.make_parser()
handler = MyHandler()
parser.setContentHandler(handler)
parser.parse('your_file.xml')

3. Disable DTD Loading

If your XML file doesn't require DTD (Document Type Definition) validation, you can disable it to speed up parsing. DTD validation can introduce overhead.

parser = ET.XMLParser()
parser.entity = {}
tree = ET.parse('your_file.xml', parser=parser)

4. Use a Faster Parser (lxml)

Consider using the lxml library, which is known for being faster than the built-in ElementTree. Install it using:

pip install lxml

Then, use it in your code:

from lxml import etree

tree = etree.parse('your_file.xml')

5. Use a Subset of Data

If you don't need the entire XML document, parse only the subset of data that you need. This reduces the amount of data being processed.

6. Profile Your Code

Use profiling tools like cProfile to identify bottlenecks in your code. This will help you focus on optimizing specific parts of your XML processing logic.

A proxy server spoofs the IP address, port, and hardware information. It can also act as a secure gateway for data transmission in an already encrypted form (for example, this is how a proxy with the SOCKS5 protocol works).

A proxy in data centers is usually a separate server that processes incoming requests and then distributes them to the submitted addresses (or IP). Also through the proxy it is possible to allocate a specific user a separate IP address for connection (for example, if he needs a virtual server).