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GNU: FS Directory, GNOME Builder and GtkSourceView Moving to Meson

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GNU
GNOME
  • The Free Software Directory needs you! IRC meetups every Friday

    The Free Software Directory is an essential catalog of free software online. The Directory is maintained by countless volunteers dedicated to the promotion of software that respects your personal liberty. As with any group composed of volunteers, the informal Directory team has people who come and go, and right now, it could really use some fresh new members to kick our efforts into high gear.

    Tens of thousands of people visit the Directory every month to discover free software and explore information about version control, documentation, and licensing. All of this information is also exported in machine-readable formats, making it a valuable source of data for the study of trends in free software. The Directory is powered by MediaWiki, the same software used by Wikipedia.

  • Builder 3.33.1

    Our first 3.33 release has landed as we move towards 3.34. There is a lot to do this cycle in case you’re interested in contributing. The best way to get started is to dive into the code. We can help you with that on IRC.

    Lots of this release is code behind the scenes, so screenshots won’t do them justice. But there are some visible goodies too.

    We got a DBus Inspector inspired by D-feet. The long term goal is to merge that new code into D-feet itself.

  • GtkSourceView moved to Meson

    The master branch of GtkSourceView (what will become 4.4) has moved to meson for development. I branched gtksourceview-4-2 for patch releases of 4.2.x which will remain autotools. Today’s release of gtksourceview-4.3.1 contains both autotools and meson. However 4.3.2 will remove autotools entirely.

More in Tux Machines

A Look at KDE Plasma 5.17 Beta and Report From Akademy 2019

  • KDE Plasma 5.17 Beta Run Through

    In this video, we look at KDE Plasma 5.17 Beta, enjoy!

  • TSDgeos' blog: Akademy 2019

    It's 10 days already since Akademy 2019 finished and I'm already missing it :/ Akademy is a week-long action-packed conference, talks, BoFs, daytrip, dinner with old and new friends, it's all a great combination and shows how amazing KDE (yes, the community, that's our name) is. On the talks side i missed some that i wanted to attend because i had to extend my time at the registration booth helping fellow KDE people that had forgotten to register (yes, our setup could be a bit easier, doesn't help that you have to register for talks, for travel support and for the actual conference in three different places), but I am not complaining, you get to interact with lots of people in the registration desk, it's a good way to meet people you may not have met otherwise, so please make sure you volunteer next year ;) One of the talks i want to highlight is Dan VrĂĄtil's talk about C++, I agree with him that we could do much better in making our APIs more expressive using the power of "modern" C++ (when do we stop it calling modern?). It's a pity that the slides are not up so you'll have to live with KĂŠvin Ottens sketch of it for now.

Programming Leftovers

  • DevNation Live: Event-driven business automation powered by cloud-native Java

    DevNation Live tech talks are hosted by the Red Hat technologists who create our products. These sessions include real solutions and code and sample projects to help you get started. In this talk, presented by Red Hat’s Maciej Swiderski, Principal Software Engineer, and Burr Sutter, Chief Developer Evangelist, you’ll learn about event-driven business automation using Kogito, Quarkus, and more. Kogito is a new Java toolkit, based on Drools and jBPM, that’s made to bring rules and processes to the Quarkus world. This DevNation Live presentation shows how Kogito can be used to build cloud-ready, event-driven business applications, and it includes a demo of implementing the business logic of a complex domain. Kogito itself is defined as a cloud-native business automation toolkit that helps you to build intelligent applications. It’s way more than just a business process or a single business rule—it’s a bunch of business rules, and it’s based on battle-tested capabilities.

  • NVIDIA Video Codec SDK 9.1 Brings CUDA CUStream Support, Other Encoder Improvements

    Following the February release of Video Codec SDK 9.0, NVIDIA recently did a quiet release of the Video Codec SDK 9.1 update that furthers along this cross-platform video encode/decode library.

  • Mike Driscoll: PyDev of the Week: Peter Farrell

    This week we welcome Peter Farrell (@hackingmath) as our PyDev of the Week! Peter is the author Math Adventures with Python and two other math related Python books. You can learn more about Peter by visiting his website.

  • Mutation testing by example: How to leverage failure
  • Reuven Lerner: Looking for Python podcast co-hosts

    As you might know, I’m a panelist on the weekly “Freelancers Show” podcast, which talks about the business of freelancing. The good news: The same company that’s behind the Freelancers Show, Devchat.tv, is putting together a weekly podcast about Python, and I’m going to be on that, too! We’ll have a combination of discussion, interviews with interesting people in the Python community, and (friendly) debates over the current and future state of the language.

  • Getting started with data science using Python

    Data science is an exciting new field in computing that's built around analyzing, visualizing, correlating, and interpreting the boundless amounts of information our computers are collecting about the world. Of course, calling it a "new" field is a little disingenuous because the discipline is a derivative of statistics, data analysis, and plain old obsessive scientific observation. But data science is a formalized branch of these disciplines, with processes and tools all its own, and it can be broadly applied across disciplines (such as visual effects) that had never produced big dumps of unmanageable data before. Data science is a new opportunity to take a fresh look at data from oceanography, meteorology, geography, cartography, biology, medicine and health, and entertainment industries and gain a better understanding of patterns, influences, and causality. Like other big and seemingly all-inclusive fields, it can be intimidating to know where to start exploring data science. There are a lot of resources out there to help data scientists use their favorite programming languages to accomplish their goals, and that includes one of the most popular programming languages out there: Python. Using the Pandas, Matplotlib, and Seaborn libraries, you can learn the basic toolset of data science.

Excellent Utilities: Liquid Prompt – adaptive prompt for Bash & Zsh

This is a new series highlighting best-of-breed utilities. We’re covering a wide range of utilities including tools that boost your productivity, help you manage your workflow, and lots more besides. There’s a complete list of the tools in this series in the Summary section. The Command Line Interface (CLI) is a way of interacting with your computer. And if you ever want to harness all the power of Linux, it’s highly recommended to master it. It’s true the CLI is often perceived as a barrier for users migrating to Linux, particularly if they’re grown up using GUI software exclusively. While Linux rarely forces anyone to use the CLI, some tasks are better suited to this method of interaction, offering inducements like superior scripting opportunities, remote access, and being far more frugal with a computer’s resources. For anyone spending time at the CLI, they’ll rely on the shell prompt. My favorite shell is Bash. By default, the configuration for Bash on popular distributions identifies the user name, hostname, and the current working directory. All essential information. But with Liquid Prompt you can display additional information such as battery status, CPU temperature, and much more. Read more

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