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Five Desktop Environments, Updated KDE Plasma 5, and GNOME News

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KDE
GNOME
  • Linux Desktop Roundup | A Look at Five Desktop Environments

    Here are my thoughts on KDE Plasma, GNOME, Cinnamon, MATE and XFCE.

    Please be sure to give EzeeLinux a ‘Like’ on Facebook! Thanks! Also check out http://www.ezeelinux.com for more about Linux.

  • Plasma 5.11.3

    Tuesday, 7 November 2017. Today KDE releases a Bugfix update to KDE Plasma 5, versioned 5.11.3. Plasma 5.11 was released in October with many feature refinements and new modules to complete the desktop experience.

  • GtkSourceView fundraising – September/October report

    I’ve launched two months ago a fundraising for the GtkSourceView library. I intend to write a report every two months, so that you can follow what’s going on in that project, and at the same occasion I can explain in more details some facets of the fundraising.

  • Closures with Async Operations

    Way back in 2011 people were discussing usage of modern GCC features like __attribute__((cleanup())). A few years later it found it’s way into our API’s in GLib with one small caveat, only GCC/Clang support (so no MSVC/Xlc/SunProC). Since I couldn’t care less about MSVC I’ve been using it for years (and really Microsoft, you could contribute more to the mental health of open source programmers by modernizing MSVC).

More in Tux Machines

today's howtos

Linux 4.15, Linux 4.16, and Linux Foundation's CNCF and CII

  • Linux 4.15 Gets Fixed To Report Current CPU Frequency Via /proc/cpuinfo
    A change recently in the Linux kernel led the CPU MHz reported value via /proc/cpuinfo to either be the nominal CPU frequency or the most recently requested frequency. This behavior changed compared to pre-4.13 kernels while now it's been fixed up to report the current CPU frequency.
  • Linux 4.16 Will Be Another Big Cycle For Intel's DRM Driver
    We are just through week one of two for the Linux 4.15 merge window followed by eight or so weeks after that before this next kernel is officially released. But Intel's open-source driver developers have already begun building up a growing stack of changes for Linux 4.16 when it comes to their DRM graphics driver.
  • CNCF Wants You to Use 'Certified Kubernetes'
  • Open Source Threat Modeling
    Application threat modeling is a structured approach to identifying ways that an adversary might try to attack an application and then designing mitigations to prevent, detect or reduce the impact of those attacks. The description of an application’s threat model is identified as one of the criteria for the Linux CII Best Practises Silver badge.

Linux World Domination and Microsoft Corruption in Munich

Programming/Development: 'DevOps', NumPy, Google SLING

  • 5 DevOps leadership priorities in 2018
    This week, DevOps professionals gathered in San Francisco to talk about the state of DevOps in the enterprise. At 1,400 attendees, the sold-out DevOps Enterprise Summit has doubled in size since 2014 – a testament to the growth of the DevOps movement itself. With an ear to this event and an eye on the explosion of tweets coming out of it, here are five key priorities we think IT leaders should be aware of as they take their DevOps efforts into the new year.
  • NumPy Plan for dropping Python 2.7 support
    The Python core team plans to stop supporting Python 2 in 2020. The NumPy project has supported both Python 2 and Python 3 in parallel since 2010, and has found that supporting Python 2 is an increasing burden on our limited resources; thus, we plan to eventually drop Python 2 support as well. Now that we're entering the final years of community-supported Python 2, the NumPy project wants to clarify our plans, with the goal of to helping our downstream ecosystem make plans and accomplish the transition with as little disruption as possible.
  • Google SLING: An Open Source Natural Language Parser
    Google Research has just released an open source project that might be of interest if you are into natural language processing. SLING is a combination of recurrent neural networks and frame based parsing. Natural language parsing is an important topic. You can get meaning from structure and parsing is how you get structure. It is important in processing both text and voice. If you have any hope that Siri, Cortana or Alexa are going to get any better then you need to have better natural language understanding - not just the slot and filler systems currently in use.