Top 5: Twitter on the command line, deep learning, Apache Kafka, and more

We take a look back at the week's most popular articles.
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Top 5 articles of the week on Opensource.com

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In this week's Top 5, we highlight a chat bot that helps employees learn DevOps culture, lessons from the history of open source, Apache Kafka's influence on Big Data, an intro to deep learning, and command-line Twitter clients.

Top 5 articles of the week

5. What the history of open source teaches us about strategic advantage

The history of open source provides some valuable lessons for business leaders. In this article, Red Hat co-founder and open source visionary Bob Young shares six key takeaways.

4. Meet Hubot: The DevOps chat bot

Have you been told that your company is moving to a more DevOps development culture, but you have no idea what that really means? Hubot and ChatOps are tools that can help you understand more about DevOps and learn to use it in your organization.

3. How Apache Kafka is powering a real-time data revolution

Two years ago, Neha Narkhede co-founded a company called Confluent to build on her team's work with Apache Kafka. In this interview, she talks about how lots of companies are deploying Kafka and how that has led to a very busy GitHub repo.

2. What is deep learning, and why should you care about it?

Whether it's Google's headline-grabbing DeepMind AlphaGo victory, or Apple's weaving of "using deep neural network technology" into iOS 10, deep learning and artificial intelligence are all the rage these days.

In this interview, Josh Patterson and Adam Gibson give a gentle introduction to the subject and share how they're building a business around it.

1. 3 Twitter clients for the Linux command line

While this may seem like a solution searching for a problem, for some people interacting with Twitter in a terminal window makes sense. In this article, Scott Nesbitt gives a quick overview of Twidge, Oysttyer, and Rainbow Stream.

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Jason was an Opensource.com staff member and Red Hatter from 2013 to 2022. This profile contains his work-related articles from that time. Other contributions can be found on his personal account.

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