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Discussion of PCLOS.
12 39 6 years 13 weeks ago
by ariszlo
Debian and derivatives (e.g. Ubuntu)
3 3 6 years 9 weeks ago
by Roy Schestowitz
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5 6 n/a
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2 11 6 years 9 weeks ago
by Roy Schestowitz
Other Distro Discussions.
46 165 4 years 50 weeks ago
by hussam
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by geniususer
Hardware discussions.
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by Ayaerlee

More in Tux Machines

Linux at Home: Research Your Family Tree

In this series, we look at a range of home activities where Linux can make the most of our time at home, keeping active and engaged. The change of lifestyle enforced by Covid-19 is an opportunity to expand our horizons, and spend more time on activities we have neglected in the past. With lockdowns starting to be reintroduced in some countries, it looks set that social distancing will continue in many countries for the foreseeable future. Researching your family tree is a popular hobby. Here’s my recommended 3 programs to help you research your family tree. They are all free and open source and use open standards. Don’t fall into the trap of being locked into a particular vendor who might pull development at any time. And they all run on Linux, macOS, and Windows. Read more

Videos/Audiocasts: Command Line Heroes and Linus

  • Command Line Heroes: Season 5 trailer

    After four seasons of epic tales about how command line heroes have shaped the tech landscape, we're tackling a new topic: The job itself. Season 5 covers the job of being a coder. How coding careers begin. How the job is done. How it’s changed. And how coders are shaping its continued evolution. Clive Thompson, previous guest and friend of the podcast, joins us for this 3-episode mini-season. The tech journalist shares his insights from the over 200 interviews he’s conducted with coders: programmers, developers, software engineers, sysadmins, and more. The first episode drops July 14, 2020. Subscribe today and sign up for the newsletter to get the latest updates.

  • Linus Torvalds Ponders The Future Of The Linux Kernel
  • Video: Two guys name Linus build a new PC

    I wonder what the final price of this is?

Jussi Pakkanen: What is best in open source projects?

Open source project maintainers have a reputation of being grumpy and somewhat rude at times. This is a not unexpected as managing an open source project can be a tiring experience. This can lead to exhaustion and thus to sometimes being a bit too blunt. But let's not talk about that now. Instead, let's talk about the best of times, the positive outcomes, the things that really make you happy to be running an open source project. Patches, both bug fixes and new features are like this. So is learning about all the places people are using your project. Even better if they are using it ways you could not even imagine when you started. All of these things are great, but they are not the best. The greatest thing is when people you have never met or even heard of before come to your project and then on their own initiative take on leadership in some subsection in the project. Read more Also: How an open project's governance model evolves

Devices: Coral mPCIe, Zynq, and ESPHome

  • Using Google Coral mPCIe Card into a Compact Marvell Octeon TX Linux SBC

    Google launched Coral mPCIe and M.2 cards at the very beginning of the year. The cards integrate the company’s 4 TOPS Edge TPU used for low power edge AI applications to bring the solutions to boards with mPCIe or M.2 sockets. Those are just hardware sockets that are optionally connected to USB, PCIe, I2C, etc… so you have to make sure the socket on your board exposes PCIe Gen2 x1. If you worry about compatibility, it’s good to get a board that’s known to work, and one of those is Gateworks Newport GW6903 SBC that offers two mPCIe sockets and features Marvell Octeon TX dual or quad-core Armv8 processor coupled with up to 4GB RAM.

  • Zynq UltraScale+ Arm FPGA FZ3 Deep Learning Accelerator Card Supports Baidu Brain AI Tools

    FZ3 card runs PetaLinux, and supports Baidu PaddlePaddle deep learning AI framework, as well as Baidu Brain AI tools such as EasyDL, AI Studio, and EasyEdge. Those enable the development of deep learning applications such as smart cameras, AI Edge embedded PCs, AI robots, smart cars, intelligent electronic scale, autonomous UAV, and more.

  • Simple IoT Devices using ESPHome

    ESPHome is a build and deployment system that takes all of the manual coding work out of integrating custom Internet of Things (IoT) devices with Home Assistant. It advertises support for not only the ESP8266, but also its big-brother the ESP32 and even various ESP8266-based off-the-shelf consumer devices from Sonoff. ESPHome achieves a code-free integration by implementing the auto-discovery protocols necessary for Home Assistant to pull the features of the device into the hub with just a few clicks. Wiring up an ESP8266 to the desired hardware, and defining that hardware properly in the configuration, is all that is needed to enable it in the hub. For hardware wired to an ESP8266 to be used with ESPHome, it must first be supported by an ESPHome component. The ESPHome project's website lists the various hardware it understands how to work with, from sensors to displays. While the collection of IoT device components is not as comprehensive as one could imagine, ESPHome does offer many of the common ones used in smart homes. The project's last release, v1.14.0 in November 2019, included 24 new components. [...] The ESPHome project has a healthy community supporting it with 132 contributors and 67 releases to date, including the latest v1.14.0 release. The project itself operates under a dual licensing model where the C++ code is released under GPLv3 and the Python code is released under an MIT license. Those interested in contributing (both documentation or code) can review the contributor guidelines for how best to get involved. There doesn't appear to be a mailing list for the project, but there is a Discord channel available.