IP | Country | PORT | ADDED |
---|---|---|---|
80.120.49.242 | at | 80 | 40 minutes ago |
98.175.31.195 | us | 4145 | 40 minutes ago |
98.152.200.61 | us | 8081 | 40 minutes ago |
50.217.226.44 | us | 80 | 40 minutes ago |
50.239.72.18 | us | 80 | 40 minutes ago |
188.68.52.244 | de | 80 | 40 minutes ago |
161.35.70.249 | de | 8080 | 40 minutes ago |
50.223.246.237 | us | 80 | 40 minutes ago |
213.143.113.82 | at | 80 | 40 minutes ago |
83.1.176.118 | pl | 80 | 40 minutes ago |
98.181.137.83 | us | 4145 | 40 minutes ago |
43.153.8.210 | us | 13001 | 40 minutes ago |
50.175.212.66 | us | 80 | 40 minutes ago |
8.219.63.77 | sg | 8888 | 40 minutes ago |
49.207.36.81 | in | 80 | 40 minutes ago |
129.226.155.235 | sg | 8080 | 40 minutes ago |
50.207.199.87 | us | 80 | 40 minutes ago |
72.195.101.99 | us | 4145 | 40 minutes ago |
47.56.110.204 | hk | 8989 | 40 minutes ago |
213.157.6.50 | de | 80 | 40 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:
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The most convenient way is to use online proxy checkers, i.e. services that test all connection capabilities, including supported protocols. For example, Hidemy.name or Securitylab. As for applications, you can recommend SocksChain or Open Proxy Checker.
Parsing math expressions correctly involves converting mathematical expressions from their human-readable form into a format that a computer can understand and evaluate. A common approach is to use a parser or library designed for mathematical expressions.
In Python, you can use the sympy library, which provides powerful symbolic mathematics capabilities, including expression parsing and evaluation. Here's an example:
from sympy import sympify, symbols
# Define symbols
x, y = symbols('x y')
# Parse math expressions
expression1 = sympify("2*x + 3*y")
expression2 = sympify("sin(x) + cos(x)")
# Evaluate expressions
result1 = expression1.subs({x: 1, y: 2})
result2 = expression2.subs(x, 0)
print("Result 1:", result1)
print("Result 2:", result2)
In this example, sympify is used to parse the mathematical expressions. You can then substitute values for variables using the subs method.
If you need a more general-purpose parser, you can use the pyparsing library. Here's a basic example:
from pyparsing import Word, nums, operatorPrecedence, opAssoc
# Define grammar for basic math expressions
integer = Word(nums).setParseAction(lambda t: int(t[0]))
variable = Word("xy")
operand = integer | variable
expr = operatorPrecedence(
operand,
[
("+", 2, opAssoc.LEFT),
("-", 2, opAssoc.LEFT),
("*", 3, opAssoc.LEFT),
("/", 3, opAssoc.LEFT),
],
)
# Parse math expressions
expression1 = expr.parseString("2*x + 3*y")
expression2 = expr.parseString("sin(x) + cos(x)")
print("Parsed Expression 1:", expression1)
print("Parsed Expression 2:", expression2)
This example uses pyparsing to define a grammar for basic math expressions with addition, subtraction, multiplication, and division. You can customize the grammar based on your specific needs.
Choose the library that best fits your requirements, whether it's for symbolic mathematics (like sympy) or general-purpose expression parsing (like pyparsing). Always consider error handling and validation when working with user-inputted expressions.
To speed up scraping by leveraging asynchronous programming in Python, you can use the asyncio library along with asynchronous HTTP requests. The aiohttp library is commonly used for asynchronous HTTP requests. Here's a basic example to help you get started:
Install Required Packages:
pip install aiohttp
Asynchronous Scraping Script:
import asyncio
import aiohttp
async def scrape_url(session, url):
try:
async with session.get(url) as response:
if response.status == 200:
content = await response.text()
# Process the content as needed
print(f"Scraped {url}: {len(content)} characters")
else:
print(f"Failed to scrape {url}. Status code: {response.status}")
except Exception as e:
print(f"Error scraping {url}: {str(e)}")
async def main():
urls_to_scrape = [
'https://example.com/page1',
'https://example.com/page2',
# Add more URLs as needed
]
async with aiohttp.ClientSession() as session:
tasks = [scrape_url(session, url) for url in urls_to_scrape]
await asyncio.gather(*tasks)
if __name__ == "__main__":
asyncio.run(main())
scrape_url
to perform the scraping for a given URL.main
function creates an asynchronous HTTP session using aiohttp.ClientSession
and gathers the scraping tasks.asyncio.run(main())
line runs the main asynchronous function.Running the Script:
python your_scraper_script.py
This example demonstrates the basics of asynchronous scraping. Asynchronous programming can significantly speed up scraping tasks, especially when making multiple concurrent HTTP requests.
Keep in mind that not all websites support asynchronous scraping, and some may have restrictions or rate limiting. Always adhere to the website's terms of service, and consider adding delays between requests to avoid overloading the server.
If your proxy is not connecting, there could be several reasons for the issue. Here are some steps you can take to troubleshoot and resolve the problem:
1. Check the proxy settings: Ensure that you have entered the correct proxy server address, port, and authentication credentials (if required) in your browser or application settings. Double-check for any typos or errors in the information.
2. Verify the proxy server status: Confirm that the proxy server is up and running. If you are using a third-party proxy service, check their website or contact their support for any ongoing issues or outages.
3. Test the internet connection: Disable the proxy settings and try connecting to the internet directly. If you can connect without the proxy, the issue might be with the proxy server itself.
4. Check for firewall or antivirus interference: Ensure that your firewall or antivirus software is not blocking the proxy connection. You may need to add an exception for the proxy server in your firewall or antivirus settings.
5. Update your browser or application: Make sure you are using the latest version of your browser or application, as older versions might have compatibility issues with the proxy server.
6. Clear browser cache and cookies: Sometimes, corrupted cache or cookies can cause issues with proxy connections. Try clearing your browser cache and cookies, then restart the browser and try connecting again.
7. Try a different proxy server: If the issue persists, consider using a different proxy server. You can find various proxy servers online, but be cautious when using free proxies, as they might be slow, unreliable, or insecure.
8. Consult support resources: If you are still unable to connect to the proxy server, consult the support resources or documentation for your browser or application. You can also reach out to the proxy server provider's support team for assistance.
Deactivating the proxy on android is a reverse process. To do this, you will need to go back to the previous settings in the browser, if that is where you set the installation parameters. In the item "Change proxy status", namely in the ProxyDroid app, set the "Off" position.
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