Back to class! – Fedora Classroom

Introduction

Fedora Classroom is a project that aims at increasing awareness among the users about the distribution and understanding how to better use it. It started off ambitiously almost a decade ago and has now been revamped by the members of the Fedora Join SIG.

Starting 28th July 2017, the revamped version of the project has successfully organized almost 6 classroom session on various topics like basics of FOSS, git, VIM, QA Testing and so on. Almost all these classes were held over IRC in the #fedora-classroom channel on Freenode (irc.freenode.net).

Help Wanted

The Fedora classroom project is always on the look out for people who can help out in any way possible. The Fedora Join SIG, which is currently running the Fedora Classroom project, is looking for people who can fit in and lend a hand with the operations. Have a look at the wiki page – https://fedoraproject.org/wiki/Classroom_Help_Wanted – and add in your name if the work interests you.

See you on the other side!

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Book Review: “i want 2 do project. tell me wat 2 do.” by Shakthi Kannan.

Shakthi Kannan is a Free Software Developer whose book inspired me to contribute to the Fedora Project. His writing is descriptive, encouraging and unembellished. This is one of the books that you should keep around to help you whenever you need.

Continue reading “Book Review: “i want 2 do project. tell me wat 2 do.” by Shakthi Kannan.”

Fixing my pet peeve – First bug fix for Gecko engine

Fixing my pet peeve – First bug fix for Gecko engine

After a host of non-technical contributions to Mozilla, it was time to switch to the technical side.  As a result, I started looking out for some bugs which I would be able to fix.  That is when I landed on Bug 1308137 Remove code around IBMBIDI_SUPPORTMODE_*.
The patch I provided was accepted today by Xidorn Quan.

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An introduction to ‘TensorFlow’

An introduction to ‘TensorFlow’

We’ve all played with Google Now, Apple’s Siri and Microsoft’s Cortana. These voice assistants always give us a delightful time, their presence in our devices makes us connect with them. We even call them our “BFF”. But how does Siri or Cortana know that when we say orange, she has to look for references to orange, specifically, and not an apple? How does Siri know about our current mood? The answer is Machine Learning. It is the field of study that gives computers the ability to learn without explicitly programming them. As that may seem a pretty decent explanation, it brings us to the following questions..

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