Microsoft and Google 'EEE' GNU/Linux
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Pixelbooks, which run on Chrome OS, are compatible with Linux apps owing to Google’s Crostini software. However, it is still in beta, and there are many limitations if you are running Linux apps. One of the major limitations is that Linux apps on Chrome OS do not support hardware-accelerated graphics and audio.
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‘Virtual Desktops’ is a term for being able to manage multiple window configurations across virtual desktops which you are unable to see. Imagine you could move your computer screen to an identical invisible screen next to it, and later switch to it whenever you want. For example, You can have Chrome open in one desktop, text edit in another, and Photoshop in the third and you have the ability to switch between them seamlessly and swiftly without having to juggle between windows open on one desktop. A prime example of Virtual Desktops is Mac OS’s Mission Control feature.
| Games: Retro Gaming and Vambrace: Cold Soul Coming to GNU/Linux
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Jason finally discovers the bottomless well of potential that is the Raspberry Pi, and talks about his first experience with Raspbian. Then Joe and Jason take a nostalgic deep dive into retro gaming on both the Raspberry Pi and the Pinebook.
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Devespresso Games (The Coma) are working on a new game called Vambrace: Cold Soul, a narrative-driven fantasy adventure that will support Linux.
It's inspired by games like Darkest Dungeon, Castlevania and more it certainly looks good. I've had access to it for a while to do some pre-release Linux testing for the studio and I've been pretty impressed with it. The developer has also been very responsive to feedback and so far the Linux version seems pretty solid.
The inspiration from Darkest Dungeon is pretty clear, with the turn-based battles and graphical style of the characters as well as the atmosphere being all quite familiar. Very much its own game though, the narrative focus of it along with the town exploration is certainly very different.
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Python: Pyro Probabilistic Programming Language and More
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The LF Deep Learning Foundation (LF DL), a Linux Foundation project that supports and sustains open source innovation in artificial intelligence (AI), machine learning (ML), and deep learning (DL), announces the Pyro project, started by Uber, as its newest incubation project. Built on top of the PyTorch framework, Pyro is a deep probabilistic programming framework that facilitates large-scale exploration of AI models, making deep learning model development and testing quicker and more seamless. This is the second project LF DL has voted in from Uber, following last December’s Horovod announcement.
Pyro is used by large companies like Siemens, IBM, and Uber, and startups like Noodle.AI, in addition to Harvard University, MIT, Stanford University, University of Oxford, University of Cambridge, and The Broad Institute. At Uber, Pyro solves a range of problems including sensor fusion, time series forecasting, ad campaign optimization and data augmentation for deep image understanding.
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In this tutorial, we will explore the conversion of Python scripts to Windows executable files in four simple steps. Although there are many ways to do it, we'll be covering, according to popular opinion, the simplest one so far.
This tutorial has been designed after reviewing many common errors that people face while performing this task, and hence contains detailed information to install and set up all the dependencies as well. Feel free to skip any step, if you already have those dependencies installed. Without any further ado, let's start.
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Resources are never sufficient to meet growing needs in most industries, and now especially in technology as it carves its way deeper into our lives. Technology makes life easier and more convenient and it is able to evolve and become better over time.
This increased reliance on technology has come at the expense of the computing resources available. As a result, more powerful computers are being developed and the optimization of code has never been more crucial.
Application performance requirements are rising more than our hardware can keep up with. To combat this, people have come up with many strategies to utilize resources more efficiently – Containerizing, Reactive (Asynchronous) Applications, etc.
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Yesterday we hosted a webinar with Michael Kennedy from Talk Python To Me podcasts and training presenting Demystifying Python’s async and await Keywords. Turned out to be the highest-rated webinar in 7 years of JetBrains’ webinars. Thanks Michael! The webinar recording is now available, as well as a repository with the Python code he showed and the slides he used.
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Sometimes we want to run certain tests only on a specific version of Python.
Suppose you are migrating a large project from Python 2 to Python 3 and you know in advance that certain tests won't run under Python 3.
Chances are that during the migration you are already using the six library. The six libraries have two boolean properties which are initialised to True depending on the Python version which is being used: PY2 when running under Python 2 and PY3 when running under Python 3.
| Linux Foundation launches ELISA, an open source project for building safety-critical systems
Machines have a trust problem — particularly autonomous machines deployed in safety-critical scenarios, like industrial robots and driverless cars. In a pair of surveys published by the American Automobile Association last January and by Gallup in May, 63 percent of people reported feeling afraid to ride in a fully self-driving vehicle and more than half said they’d never choose to ride in one. Moreover, in a report published by analysts at Pew in 2017, 70 percent of Americans said they were concerned about robots performing tasks currently handled by humans.
In an effort to allay those fears, the Linux Foundation today launched Enabling Linux in Safety Applications (ELISA), an open source project comprising tools intended to help companies build and certify Linux-based systems whose failure could result in loss of human life, significant property damage, or environmental damage. In partnership with British chip designer Arm, BMW, autonomous platforms company Kuka, Linutronix, and Toyota, ELISA will work with certification and standardization bodies in “multiple industries” to establish ways Linux can form the foundation of safety-critical systems across industries.
ELISA’s launch follows last year’s rollout of Automotive Grade Linux (AGL) 5.0, the newest version of a Linux Foundation project aimed at bringing open source technology to the automotive industry. Previous releases focused mainly on infotainment systems, but 5.0 introduced telematics and mapping solutions that allow OEMs to share mapping data generated by autonomous cars, in addition to offering improved security and a functional safety platform. Toyota and Amazon expressed early support; the former is using AGL in its 2018 Camry.
Slashdot: Linux Foundation Launches ELISA, an Open Source Project For Building Safety-Critical Systems
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