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Programming: Qt Design Studio, GCC, Digest, Learning C++, Eclipse and More

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Development
  • Qt Design Studio 1.2 Beta Offers Bridge With Sketch Vector Graphics Editor

    Qt Design Studio 1.2 Beta also introduces gradients support for shape-based items and other changes. More details on the Qt Design Studio 1.2 Beta over on the Qt blog.

  • Qt Design Studio 1.2 Beta released

    Qt Design Studio is a UI design and development tool that enables designers and developers to rapidly prototype and develop complex UIs. Both designers and developers use Qt Design Studio and this makes collaboration between the two a lot simpler and more streamlined. To get an impression, you should watch this video.

    The main addition for Qt Design Studio 1.2 is the Sketch Bridge. It is now possible to export your scenes from Sketch and import them to Qt Design Studio 1.2.

  • ESR Switches To Threadripper But His GCC SVN-To-Git Conversion Could Still Take Months

    It looks like the saga of converting the GNU Compiler Collection (GCC) source tree from SVN to Git isn't over yet and could still take months until completion. 

    As written about last week, a Linaro developer worked on a Bash script leveraging Git-SVN for converting GCC's SVN to Git as while Eric S Raymond has been working on the effort for many months using his homegrown "Reposurgeon" utility, it hasn't yet panned out. Reposurgeon in last year's form was too memory hungry and slow while ultimately he began rewriting the tool in Golang in hopes of addressing these issues.

  • digest 0.6.19

    digest creates hash digests of arbitrary R objects (using the md5, sha-1, sha-256, sha-512, crc32, xxhash32, xxhash64, murmur32, and spookyhash algorithms) permitting easy comparison of R language objects.

    This version contains two new functions adding new digest functionality. First, Dmitriy Selivanov added a fast and vectorized digest2int to convert (arbitrary) strings into 32 bit integers using one-at-a-time hashing. Second, Kendon Bell, over a series of PRs, put together a nice implementation of spookyhash as a first streaming hash algorithm in digest. So big thanks to both Dmitriy and Kendon.

  • Next C++ workshop: Binary Search Trees, 23 May at 18:00 UTC

    Learn C++ features with the help of LibreOffice developers! We’re running regular workshops which focus on a specific topic, and are accompanied by a real-time IRC meeting. 

  • Apache Camel development on Eclipse Che 7

    Apache Camel development is improving on Eclipse Che 7 compared to Che 6. On Che 6, it is limited to XML DSL and without classical XSD-based XML support. With Che 7, Camel Java DSL is available and XSD-based XML support is working nicely with the Camel XML DSL support. Please note that Che 7 is still in beta.

  • level up yo py/js adhd af research blaggin
  • Episode 4: A Conversation with Steve George

    Steve joined Weaveworks in February 2017 as COO. In a career spanning 20 years, Steve has worked in a range of roles in the technology sector, most recently leading Canonical’s operations and corporate development. His interest and support for FOSS goes back to 1997, when he got hold of his first copy of Slackware on floppy disk.

  • Rule-Based Matching In Natural Language Processing

    SpaCy is an open-source software library for advanced Natural Language Processing, written in Python and Cython. Here it is used to build a rule-based matcher that always classifies the word "iPhone" as a product entity

  • Eclipse IoT Surveys Developer Community
  • MIME type "text/vnd.sosi" for SOSI map data

    As part of my involvement in the work to standardise a REST based API for Noark 5, the Norwegian archiving standard, I spent some time the last few months to try to register a MIME type and PRONOM code for the SOSI file format. The background is that there is a set of formats approved for long term storage and archiving in Norway, and among these formats, SOSI is the only format missing a MIME type and PRONOM code.

More in Tux Machines

Programming/Development: C++, Go, Mozilla/Firefox and Python

  • Deliverable 1 : [✓]
    Seems okay, far better than the initial results. Although I should say, I deviated from what I thought I would need to write. First I assumed that I don’t have to write another boost::graph wrapper for KisPaintDevice, but I had to. That was one heck of an experience. In one of the last few posts, I ranted on Dmitry’s interpretation of the Graph, turns out we were on the same page but I understood his explanation the wrong way. I should put more attention to details from now on I guess. All the pixels are connected to each other, but they only have an edge between them if they are adjacent. If in center, the out degree would be 8, if in corners, 3 and if in edges, 5. There are some other cases too, but I will leave them for the moment. While writing the wrapper, I also got to know some of the cool features and techniques of C++, which I will be writing posts on as soon as I get some time, concepts, traits, avoiding virtual functions and what not. It is commendable that how boost approaches boost::astar_search, there is not a single virtual function, you don’t have to inherit anything (you can though for safety), just templates and traits, you are done.
  • Go Creeping In
    I’ve seen the inside of the Google and Amazon tech stacks. There are common threads that run through them and also, I bet, through most BigTechCos. Here and there down the stack is a lot of C++ and vestigial remnants from earlier days, Perl or PHP or whatever. Out in front of humans, of course, JS. But in between, there are oceans and oceans of Java; to a remarkable degree, it runs the Internet. Except for, here and there, you find a small but steadily increasing proportion of Go.
  • Stand by for FPR14 SPR1 chemspill
    Mozilla has shipped a fix for MFSA2019-18 in Firefox 67.0.3 and 60.7.1. This exploit has been detected in the wild, and while my analysis indicates it would require a PowerPC-specific attack to be exploitable in official TenFourFox builds (the Intel versions may be directly exploited, however), it could probably cause drive-by crashes and we should therefore ship an urgent fix as well. The chemspill is currently undergoing confidence tests and I'm shooting to release builds before the weekend. For builders, the only change in FPR14 SPR1 is the patch for bug 1544386, which I will be pushing to the repo just as soon as I have confirmed the fix causes no regressions.
  • PyPI Now Supports Two-Factor Login via WebAuthn
  • Understanding Python assignment
  • How to Publish Your Own Python Package to PyPI
  • PyCoder’s Weekly: Issue #373 (June 18, 2019)
  • EuroPython 2019: Community Discounts
  • EuroPython 2019: Inviting European Python Conference Organizers

today's howtos

All Linux, all the time: Supercomputers Top 500

Starting at the top, two IBM-built supercomputers, Summit and Sierra, at the Department of Energy's Oak Ridge National Laboratory (ORNL) in Tennessee and Lawrence Livermore National Laboratory in California, respectively to the bottom -- a Lenovo Xeon-powered box in China -- all of them run Linux. Linux supports more hardware architectures than any other operating system. In supercomputers, it supports both clusters, such as Summit and Sierra, the most common architecture, and Massively Parallel Processing (MPP), which is used by the number three computer Sunway TaihuLight. When it comes to high-performance computing (HPC), Intel dominates the TOP500 by providing processing power to 95.6% of all systems included on the list. That said, IBM's POWER powers the fastest supercomputers. One supercomputer works its high-speed magic with Arm processors: Sandia Labs' Astra, an HPE design, which uses over 130-thousand Cavium ThunderX2 cores. And, what do all these processors run? Linux, of course. . 133 systems of the Top 500 supercomputers are using either accelerator or co-processor setups. Of these most are using Nvidia GPUs. And, once more, it's Linux conducting the hardware in a symphony of speed. Read more

Red Hat and SUSE Leftovers

  • Are DevOps certifications valuable? 10 pros and cons
  • Kubernetes 1.15: Enabling the Workloads
    The last mile for any enterprise IT system is the application. In order to enable those applications to function properly, an entire ecosystem of services, APIs, databases and edge servers must exist. As Carl Sagan once said, “If you wish to make an apple pie from scratch, you must first invent the universe.” To create that IT universe, however, we must have control over its elements. In the Kubernetes universe, the individual solar systems and planets are now Operators, and the fundamental laws of that universe have solidified to the point where civilizations can grow and take root. Discarding the metaphor, we can see this in the introduction of Object Count Quota Support For Custom Resources. In English, this enables administrators to count and limit the number of Kubernetes resources across the broader ecosystem in a given cluster. This means services like Knative, Istio, and even Operators like the CrunchyData PostgreSQL Operator, the MongoDB Operator or the Redis Operator can be controlled via quota using the same mechanisms that standard Kubernetes resources have enjoyed for many releases. That’s great for developers, who can now be limited by certain expectations. It would not benefit the cluster for a bad bit of code to create 30 new PostgreSQL clusters because someone forgot to add a “;” at the end of a line. Call them “guardrails” that protect against unbounded object growth in your etcd database.
  • Red Hat named HPE’s Partner of the Year at HPE Discover 2019
    For more than 19 years, Red Hat has collaborated with HPE to develop, deliver and support trusted solutions that can create value and fuel transformation for customers. Our work together has grown over these nearly two decades and our solutions now include Linux, containers and telecommunications technologies, to name just a few. As a testament to our collaboration, HPE has named Red Hat the Technology Partner of the Year 2019 for Hybrid Cloud Solutions.
  • Demystifying Containers – Part II: Container Runtimes
    This series of blog posts and corresponding talks aims to provide you with a pragmatic view on containers from a historic perspective. Together we will discover modern cloud architectures layer by layer, which means we will start at the Linux Kernel level and end up at writing our own secure cloud native applications. Simple examples paired with the historic background will guide you from the beginning with a minimal Linux environment up to crafting secure containers, which fit perfectly into todays’ and futures’ orchestration world. In the end it should be much easier to understand how features within the Linux kernel, container tools, runtimes, software defined networks and orchestration software like Kubernetes are designed and how they work under the hood.
  • Edge > Core > Cloud: Transform the Way You Want
    For more than 25 years, SUSE has been very successful in delivering enterprise-grade Linux to our customers. And as IT infrastructure has shifted and evolved, so have we. For instance, we enabled and supported the move to software-defined data centers as virtualization and containerization technologies became more prevalent and data growth demanded a new approach.
  • SUSE OpenStack Cloud Technology Preview Takes Flight
    We are pleased to announce that as of today we are making a technology preview of a containerized version of SUSE OpenStack Cloud available that will demonstrate a future direction for our product. The lifecycle management for this technology preview is based on an upstream OpenStack project called Airship, which SUSE has been using and contributing to for some time. This follows our open / open policy of upstream first and community involvement.