IP | Country | PORT | ADDED |
---|---|---|---|
41.230.216.70 | tn | 80 | 42 minutes ago |
80.228.235.6 | de | 80 | 42 minutes ago |
213.33.126.130 | at | 80 | 42 minutes ago |
96.113.158.126 | us | 80 | 42 minutes ago |
85.8.68.2 | de | 80 | 42 minutes ago |
203.99.240.179 | jp | 80 | 42 minutes ago |
213.143.113.82 | at | 80 | 42 minutes ago |
194.158.203.14 | by | 80 | 42 minutes ago |
62.99.138.162 | at | 80 | 42 minutes ago |
50.223.246.226 | us | 80 | 42 minutes ago |
80.120.130.231 | at | 80 | 42 minutes ago |
50.172.75.125 | us | 80 | 42 minutes ago |
212.69.125.33 | ru | 80 | 42 minutes ago |
178.212.51.166 | pl | 33333 | 42 minutes ago |
189.39.49.225 | br | 4153 | 42 minutes ago |
190.58.248.86 | tt | 80 | 42 minutes ago |
50.144.212.204 | us | 80 | 42 minutes ago |
80.120.49.242 | at | 80 | 42 minutes ago |
194.219.134.234 | gr | 80 | 42 minutes ago |
213.157.6.50 | de | 80 | 42 minutes ago |
Simple tool for complete proxy management - purchase, renewal, IP list update, binding change, upload lists. With easy integration into all popular programming languages, PapaProxy API is a great choice for developers looking to optimize their systems.
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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.
This depends directly on how the proxy server works. Some of them do not require any authorization at all, others require username and password for access, and others require you to view ads and so on. Which option will be used depends directly on the service that provides access to the proxy server.
You need to go to "Settings", click on "WiFi", select the current network to which the smartphone is connected, tap on "Proxy settings". And then - deactivate the item.
It is a proxy that everyone can connect to. That is, it handles absolutely all requests without interacting with the traffic in any way, without monitoring its packets.
Both on a PC and on modern cell phones, a built-in utility that is responsible for working with network connections, provides the ability to set up a connection through a proxy server. You just need to enter the IP-address for connection and the port number. In the future all traffic will be redirected through this proxy. Accordingly, the provider will not block it.
What else…