Joint Proxy

Before you change your proxy server, you should decide what kind of proxy you would like to install. There are a lot of choices, depending on your needs. Every buyer, when buying a proxy server, is given all the necessary information with the data for access - username and password, port, IP address. Without these data, you can't install and configure the proxy.

In the browser menu (top right corner), find "Settings", and then, under "Network settings", go to "Settings" to select "Manual network configuration". Enter, depending on your network protocol, the IP address, the port and click on "OK". Open any website and in the window that appears, enter the proxy password and login, then click "Ok" again. A successful connection to the site means that the setup is successfully completed.

In web development, the style.left property refers to the left offset position of an element within its containing element. The value of style.left is a string that represents the distance from the element's left edge to the left edge of its containing element. This distance can be specified using various units, such as pixels, percentages, or other length units.

When you retrieve style.left in JavaScript, you get a string representation of this distance. For example:

var element = document.getElementById('exampleElement');
var leftValue = element.style.left; // Returns a string like "10px" or "50%"

To perform numerical calculations or comparisons with the left offset, you might want to parse this string and extract the numeric value. Parsing involves removing the unit (e.g., "px" or "%") and converting the remaining part to a numeric value.

Here's an example of how you can parse the style.left value in JavaScript:

var element = document.getElementById('exampleElement');
var leftValue = element.style.left;

// Parse the numeric value
var parsedLeft = parseFloat(leftValue);

// Now parsedLeft is a numeric value representing the left offset
console.log(parsedLeft);

By parsing the value, you can use it in mathematical operations or make comparisons. Keep in mind that parsing might return NaN (Not a Number) if the value is not a valid number, so it's important to handle such cases appropriately.

If PyCharm is not recognizing the Selenium library, there are a few steps you can take to resolve the issue

1. Check Project Interpreter

Ensure that you have the correct Python interpreter selected for your project. Open PyCharm, go to File > Settings > Project > Project Interpreter. Make sure that the interpreter you are using has Selenium installed.

2. Install Selenium

Install the Selenium library if you haven't done so. You can install it using the following pip command in your terminal or command prompt:

pip install selenium

3. PyCharm Reindexing:

   • Sometimes, PyCharm may not automatically recognize installed packages. Try restarting PyCharm, and it will perform a reindexing of your project. This may resolve the issue.

4. Virtual Environment:

   • If you are using a virtual environment, make sure it is activated. PyCharm should recognize the packages installed within the virtual environment.

5. PyCharm Cache:

   • Clear PyCharm's cache. Go to File > Invalidate Caches / Restart... and select "Invalidate and Restart." This will clear the caches and restart PyCharm.

6. Check Project Structure:

   • Verify that your project structure is set up correctly. The directory containing your Selenium scripts should be marked as the source root. Right-click on the directory and select Mark Directory as > Sources Root.

7. Check Python Path:

   • Verify that the Python path in PyCharm matches the path where Selenium is installed. You can check this in the Project Interpreter settings.

8. Check for Typos:

   • Ensure there are no typos or mistakes in your code. PyCharm might not recognize the library if there are syntax errors or import issues.

9. PyCharm Plugin:

   • Check if you have a PyCharm plugin related to Selenium. Some plugins provide additional support for Selenium. Make sure it is installed and enabled.

10. Update PyCharm:

    • Ensure that you are using the latest version of PyCharm. Updating to the latest version may resolve compatibility issues.

11. Recreate Virtual Environment (if applicable):

    • If you are using a virtual environment, try recreating it. Activate the new virtual environment and install Selenium again.

After going through these steps, PyCharm should recognize the Selenium library. If the issue persists, double-check your project configuration and make sure there are no conflicting settings or issues with your Python environment.

The basic configuration is written in nginx.conf file in the program directory. You need to create a server article and specify there the port number and the place for cached data. Thus, for example, by using port 8080 you may organize a local proxy to test your own sites.