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More in Tux Machines

4 open source Android apps for writers

While I'm of two minds when it comes to smartphones and tablets, I have to admit they can be useful. Not just for keeping in touch with people or using the web but also to do some work when I'm away from my computer. For me, that work is writing—articles, blog posts, essays for my weekly letter, e-book chapters, and more. I've tried many (probably too many!) writing apps for Android over the years. Some of them were good. Others fell flat. Here are four of my favorite open source Android apps for writers. You might find them as useful as I do. Read more

How a trip to China inspired Endless OS and teaching kids to hack

Last year, I decided to try out Endless OS, a lightweight, Linux-based operating system developed to power inexpensive computers for developing markets. I wrote about installing and setting it up. Endless OS is unique because it uses a read-only root file system managed by OSTree and Flatpak, but the Endless company is unique for its approach to education. Late last year, Endless announced the Hack, a $299 laptop manufactured by Asus that encourages kids to code, and most recently the company revealed The Third Terminal, a group of video games designed to get kids coding while they're having fun. Since I'm so involved in teaching kids to code, I wanted to learn more about Endless Studios, the company behind Endless OS, The Third Terminal, The Endless Mission, a sandbox-style game created in partnership with E-Line Media, and other ventures targeted at expanding digital literacy and agency among children around the world. I reached out to Matt Dalio, Endless' founder, CEO, and chief of product and founder of the China Care Foundation, to ask about Endless and his charitable work supporting orphaned children with special needs in China. Read more

AMD Releases Firmware Update To Address SEV Vulnerability

A new security vulnerability has been made public over AMD's Secure Encrypted Virtualization (SEV) having insecure cryptographic implementations. Fortunately, this AMD SEV issue is addressed by a firmware update. CVE-2019-9836 has been made pulic as the AMD Secure Processor / Secure Encrypted Virtualization having an insecure cryptographic implementation. Read more

today's howtos and programming bits

  • How to get the latest Wine on Linux Mint 19
  • How to Install KDE Plasma in Arch Linux (Guide)
  • 0 bytes left

    Around 2003–2004, a friend and I wrote a softsynth that was used in a 64 kB intro. Now, 14 years later, cTrix and Pselodux picked it up and made a really cool 32 kB tune with it! Who would have thought.

  • A month full of learning with Gnome-GSoC

    In this month I was able to work with Libgit2-glib where Albfan mentored me on how to port functions from Libgit2 to Libgit2-glib. Libgit2-glib now has functionality to compare two-buffers. This feature I think can now benefit other projects also which requires diff from buffers, for example Builder for it’s diff-view and gedit.

  • Google Developers Are Looking At Creating A New libc For LLVM

    As part of Google's consolidating their different toolchains around LLVM, they are exploring the possibility of writing a new C library "libc" implementation.  Google is looking to develop a new C standard library within LLVM that will better suit their use-cases and likely others within the community too. 

  • How We Made Conda Faster in 4.7

    We’ve witnessed a lot of community grumbling about Conda’s speed, and we’ve experienced it ourselves. Thanks to a contract from NASA via the SBIR program, we’ve been able to dedicate a lot of time recently to optimizing Conda.  We’d like to take this opportunity to discuss what we did, and what we think is left to do.

  • TensorFlow CPU optimizations in Anaconda

    By Stan Seibert, Anaconda, Inc. & Nathan Greeneltch, Intel Corporation TensorFlow is one of the most commonly used frameworks for large-scale machine learning, especially deep learning (we’ll call it “DL” for short). This popular framework has been increasingly used to solve a variety of complex research, business and social problems. Since 2016, Intel and Google have worked together to optimize TensorFlow for DL training and inference speed performance on CPUs. The Anaconda Distribution has included this CPU-optimized TensorFlow as the default for the past several TensorFlow releases. Performance optimizations for CPUs are provided by both software-layer graph optimizations and hardware-specific code paths. In particular, the software-layer graph optimizations use the Intel Math Kernel Library for Deep Neural Networks (Intel MKL-DNN), an open source performance library for DL applications on Intel architecture. Hardware specific code paths are further accelerated with advanced x86 processor instruction set, specifically, Intel Advanced Vector Extensions 512 (Intel AVX-512) and new instructions found in the Intel Deep Learning Boost (Intel DL Boost) feature on 2nd generation Intel Xeon Scalable processors. Let’s take a closer look at both optimization approaches and how to get these accelerations from Anaconda.

  • PyCoder’s Weekly: Issue #374 (June 25, 2019)