Sorting list in Python

During my Python studies, I came across something that didn’t make much sense to me so I had to learn and investigate (with the help of experts). What you can usually do in Python is to modify a variable and assign the result to the same variable. Because a piece of code is usually worth much more than an explanation: [crayon-5a96e02e428e1312116645/] When you want to sort a list, that behavior is a bit different: let’s pretend I have a list of ARP entries into my switch: [crayon-5a96e02e428ee971099170/] If I want to sort it and reassign the value of it to the previously used variable I would use this code (Let’s pretend arp_entries is my variable that contains all these entries): [crayon-5a96e02e428f6056918892/] [Read More...]

The post Sorting list in Python appeared first on VPackets.net.

History Of Networking – Alia Atlas – Fast Reroute

We often take dynamic routing protocol failover for granted but there’s a lot of complexity that goes into ensuring resilient loop free alternative paths. In this episode of History of Networking, Alia Atlas joins Network Collective to talk about her contributions to IP fast reroute.

Alia Atlas
Guest
Russ White
Host
Donald Sharp
Host
Eyvonne Sharp
Host

Outro Music:
Danger Storm Kevin MacLeod (incompetech.com)
Licensed under Creative Commons: By Attribution 3.0 License
http://creativecommons.org/licenses/by/3.0/

The post History Of Networking – Alia Atlas – Fast Reroute appeared first on Network Collective.

Super Bowl LII set football and Wi-Fi network records

Super Bowl LII was played about a month ago, and much to the chagrin of New England Patriots fans, the team lost despite a number of records being set by Tom Brady and his team. In a losing effort, the QB threw for over 500 yards, something that had never been done before. Also, no losing team has ever had as many yards or points. It was certainly one of the most memorable games in recent history, particularly for the long-suffering Philadelphia Eagles fans.Records were also set in the stands with new highs in Wi-Fi network usage. For the fifth consecutive year, Extreme Networks was the Official WiFi Analytics provider of the Super Bowl, and its ExtremeAnalytics (formerly known as Purview) captured all the data transferred over the stadium Wi-Fi network. (Note: Extreme is a client of ZK Research.) The NFL and its individual teams have been using the data to better understand what fans do on their mobile devices during games in hopes of creating an overall better experience. Some of the highlights from the big game are listed below.To read this article in full, please click here

Super Bowl LII set football and Wi-Fi network records

Super Bowl LII was played about a month ago, and much to the chagrin of New England Patriots fans, the team lost despite a number of records being set by Tom Brady and his team. In a losing effort, the QB threw for over 500 yards, something that had never been done before. Also, no losing team has ever had as many yards or points. It was certainly one of the most memorable games in recent history, particularly for the long-suffering Philadelphia Eagles fans.Records were also set in the stands with new highs in Wi-Fi network usage. For the fifth consecutive year, Extreme Networks was the Official WiFi Analytics provider of the Super Bowl, and its ExtremeAnalytics (formerly known as Purview) captured all the data transferred over the stadium Wi-Fi network. (Note: Extreme is a client of ZK Research.) The NFL and its individual teams have been using the data to better understand what fans do on their mobile devices during games in hopes of creating an overall better experience. Some of the highlights from the big game are listed below.To read this article in full, please click here

2018 European Chapters’ Meeting Travel Fellowship

  • This is the application for the Internet Society Travel Fellowship to the European Chapters' Meeting. The objective of the European Chapters' Meeting is to discuss Internet related topics that are relevant to the region, namely questions around the digital economy, local content, education, and how the organization's new campaign model will manifest in terms of regional activities. Fellowships will be awarded through a competitive application process.

    All applicants should be:

    • A member of the Internet Society
    • An individual who has not attended an European Chapters' Meeting in the past
    • Able to present a strong motivation for attending the European Chapters' Meeting

    The working language of the meeting is English. Individuals applying for the Fellowship should be comfortable and able to follow discussions in the English language.

    The 2018 European Chapters' Meeting will be held in Sofia, Bulgaria from 24-26 April.

Application Form
  • As in your passport
  • As in your passport

The Engine Of HPC And Machine Learning

There is no question right now that if you have a big computing job in either high performance computing – the colloquial name for traditional massively parallel simulation and modeling applications – or in machine learning – the set of statistical analysis routines with feedback loops that can do identification and transformation tasks that used to be solely the realm of humans – then an Nvidia GPU accelerator is the engine of choice to run that work at the best efficiency.

It is usually difficult to make such clean proclamations in the IT industry, with so many different kinds of …

The Engine Of HPC And Machine Learning was written by Timothy Prickett Morgan at The Next Platform.

Single-Image Systems or Automated Fabrics

In the Network Automation 101 webinar and Building Network Automation Solutions online course I described one of the biggest challenges the networking engineers are facing today: moving from thinking about boxes and configuring individual devices to thinking about infrastructure and services, and changing data models which result in changed device configurations.

The $1B question is obviously: and how do we get from here to there?

Read more ...

CI/CD For Networking Part 5

Ansible AWX is the upstream open source project to Ansible Tower. For this part of the series AWX will be installed on a Centos 7 minimal host with the firewall service disabled and SELinux set to permissive. Nginx will be utilized as a reverse proxy for HTTP/S traffic to the AWX...

The Future of Cognitive Cloud Networking

AI-Blog2

Artificial Intelligence, machine and deep learning have to be among the most popular tech-words of the past few years, and I was hoping that I wouldn’t get swept away by it. But when I heard a panel on this topic at our customer event this month on the state of AI networks, I found it incredibly fascinating and it piqued my curiosity! Let me start with a note of disclaimer for readers who are expecting a deep tutorial from me. There is a vast amount of research behind models and algorithms on this topic that I will not even attempt to cover. Instead I will try to share some thoughts on the practical relevance of this promising field.

The Future of Cognitive Cloud Networking

AI-Blog2

Artificial Intelligence, machine and deep learning have to be among the most popular tech-words of the past few years, and I was hoping that I wouldn’t get swept away by it. But when I heard a panel on this topic at our customer event this month on the state of AI networks, I found it incredibly fascinating and it piqued my curiosity! Let me start with a note of disclaimer for readers who are expecting a deep tutorial from me. There is a vast amount of research behind models and algorithms on this topic that I will not even attempt to cover. Instead I will try to share some thoughts on the practical relevance of this promising field.

Deep Learning on HPC Systems for Astronomy

On today’s episode of “The Interview” with The Next Platform we talk about the use of petascale supercomputers for training deep learning algorithms. More specifically, how this happening in Astronomy to enable real-time analysis of LIGO detector data.

We are joined by Daniel George, a researcher in the Gravity Group at the National Center for Supercomputing Applications, or NCSA. His team garnered a great deal of attention at the annual supercomputing conference in November with work blending traditional HPC simulation data and deep learning.

George and his team have shown that deep learning with convolutional neural networks can provide many …

Deep Learning on HPC Systems for Astronomy was written by Nicole Hemsoth at The Next Platform.

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