Proxy for Clubhouse

Open the "Start" menu and type "Browser Properties" in the search box. Then, go to the "Connection" tab, click on "Network settings" and disable the use of the proxy server. Reboot Windows and check if your Internet connection works. If the problem persists, open the "Advanced" tab in the "Browser Properties" window and check the box next to "Delete personal settings", click "Reset" and restart your computer.

In the Windows Settings menu, go to "Network and Internet". At the very bottom, on the left side, find the item "Proxy server" and uncheck it so that it is no longer used. It is also desirable to uncheck the item "Automatic detection of parameters" in the section "Automatic configuration". If this is not done, there is a chance that the proxy will continue to be used. Reboot your laptop.

It depends on which browser you are using. In Opera, Chrome, Edge a proxy is configured at the level of the operating system itself. In Firefox in the settings there is a special item (in the "Privacy" section).

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.

Each option has its own advantages and disadvantages. HTTP is faster because it supports caching. And SOCKS provides better anonymity because it hides the headers of requested pages.