IP | Country | PORT | ADDED |
---|---|---|---|
32.223.6.94 | us | 80 | 8 minutes ago |
8.220.194.115 | kr | 1080 | 8 minutes ago |
213.33.126.130 | at | 80 | 8 minutes ago |
183.215.23.242 | cn | 9091 | 8 minutes ago |
212.69.125.33 | ru | 80 | 8 minutes ago |
37.18.73.60 | ru | 5566 | 8 minutes ago |
79.110.202.184 | pl | 8081 | 8 minutes ago |
190.58.248.86 | tt | 80 | 8 minutes ago |
213.143.113.82 | at | 80 | 8 minutes ago |
194.158.203.14 | by | 80 | 8 minutes ago |
50.221.230.186 | us | 80 | 8 minutes ago |
66.191.31.158 | us | 80 | 8 minutes ago |
23.81.45.202 | jp | 5256 | 8 minutes ago |
95.66.138.21 | ru | 8880 | 8 minutes ago |
178.46.153.228 | ru | 1080 | 8 minutes ago |
112.86.55.159 | cn | 81 | 8 minutes ago |
185.49.31.207 | pl | 8081 | 8 minutes ago |
185.10.129.14 | ru | 3128 | 8 minutes ago |
61.158.175.38 | cn | 9002 | 8 minutes ago |
64.227.131.240 | in | 1080 | 8 minutes ago |
Our proxies work perfectly with all popular tools for web scraping, automation, and anti-detect browsers. Load your proxies into your favorite software or use them in your scripts in just seconds:
Connection formats you know and trust: IP:port or IP:port@login:password.
Any programming language: Python, JavaScript, PHP, Java, and more.
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It refers to a proxy that changes its IP address according to a set algorithm. This is done to minimize the risk of the proxy being recognized by web applications and to better ensure privacy.
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.
In the context of a router, a proxy refers to a feature or service that acts as an intermediary between the router and external networks or resources. The primary purpose of a proxy in a router is to enhance security, optimize performance, and manage traffic.
To reset proxy settings, you can follow these steps depending on your operating system:
For Windows:
1. Press the Windows key + R to open the Run dialog.
2. Type "inetcpl" (without quotes) and press Enter. This will open the Internet Properties window.
3. Click on the "Connections" tab.
4. Click on "LAN settings" in the bottom right corner.
5. In the "Proxy Server" section, select "Automatically detect settings" and click "OK".
6. Close the Internet Properties window.
Audience parsing is the collection of information about users. Most often it is used to get statistical data, to check the server capacity. Sometimes it is also used to compile a database of potential customers.
What else…