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Скачать или смотреть Selecting the First and Last IP Addresses from Subnet Ranges

  • vlogize
  • 2025-03-29
  • 3
Selecting the First and Last IP Addresses from Subnet Ranges
Select every first and last IP Address of subnet rangespythonpython 3.xsubnet
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Описание к видео Selecting the First and Last IP Addresses from Subnet Ranges

A comprehensive guide on how to extract the first and last IP addresses from subnet ranges using Python's `netaddr` library. Perfect for network administrators and developers!
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This video is based on the question https://stackoverflow.com/q/70560673/ asked by the user 'Tes3awy' ( https://stackoverflow.com/u/5865393/ ) and on the answer https://stackoverflow.com/a/70560715/ provided by the user 'Riccardo Bucco' ( https://stackoverflow.com/u/5296106/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: Select every first and last IP Address of subnet ranges

Also, Content (except music) licensed under CC BY-SA https://meta.stackexchange.com/help/l...
The original Question post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license, and the original Answer post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license.

If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com.
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How to Select Every First and Last IP Address of Subnet Ranges

When dealing with network configurations, especially in a subnet, it’s common to need access to specific IP addresses within defined ranges. If you're working with subnets, you may find yourself needing to identify the first and last IP addresses from various subnet ranges. This is essential for tasks such as assigning IP addresses or configuring network devices. In this guide, we will explore how to use Python's netaddr library to accomplish this task effectively.

The Problem: Identifying IP Address Ranges

Suppose you have a subnet, 172.16.0.0/22, which provides you with four ranges:

172.16.0.0 → 172.16.0.255

172.16.1.0 → 172.16.1.255

172.16.2.0 → 172.16.2.255

172.16.3.0 → 172.16.3.255

You want to extract every .1 and .254 from each range, resulting in output that looks like the following:

[[See Video to Reveal this Text or Code Snippet]]

The Solution: Using netaddr in Python

To efficiently retrieve the desired first and last IP addresses, we will utilize the netaddr library, which offers a user-friendly way to manipulate IP addresses and networks. Below is a step-by-step breakdown of how to achieve the desired output.

Step 1: Importing the Library

Start by importing the netaddr library:

[[See Video to Reveal this Text or Code Snippet]]

Step 2: Define the Subnet

Next, define the subnet you will be working with:

[[See Video to Reveal this Text or Code Snippet]]

Step 3: Generate the IP Address Ranges

You can create a list comprehension that iterates over the ranges in the subnet, selecting the .1 and .254 IP addresses.

[[See Video to Reveal this Text or Code Snippet]]

Here’s how this works:

len(network) // 256 calculates the number of ranges we have.

For each range r, we determine the first (network[256 * r + 1]) and last (network[256 * r + 254]) IP addresses within that range.

Step 4: Output the Results

Finally, you can print the results to see the desired output:

[[See Video to Reveal this Text or Code Snippet]]

This will yield:

[[See Video to Reveal this Text or Code Snippet]]

Conclusion

In this post, we examined how to use Python along with the netaddr library to extract the first and last IP addresses from given subnet ranges. This method is not only efficient but also scalable, making it ideal for managing larger networks. Whether you're a seasoned network administrator or a developer looking to enhance your networking skills, understanding how to manipulate IP addresses is a valuable addition to your toolkit. Happy coding!

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