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Programming: Vala, Perl and Python

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  • Excellent Free Tutorials to Learn Vala

    Vala is an object-oriented programming language with a self-hosting compiler that generates C code and uses the GObject system.

    Vala combines the high-level build-time performance of scripting languages with the run-time performance of low-level programming languages.

    Vala is syntactically similar to C# and includes notable features such as anonymous functions, signals, properties, generics, assisted memory management, exception handling, type inference, and foreach statements.

    Its developers, Jürg Billeter and Raffaele Sandrini, wanted to bring these features to the plain C runtime with little overhead and no special runtime support by targeting the GObject object system. Rather than compiling directly to machine code or assembly language, it compiles to a lower-level intermediate language. It source-to-source compiles to C, which is then compiled with a C compiler for a given platform, such as GCC.

    Did you always want to write GTK+ or GNOME programs, but hate C with a passion? Learn Vala with these free tutorials!

    Vala is published under the GNU Lesser General Public License v2.1+.

  • Supporting Perl-related creators via Patreon

    Yesterday I posted about this in the Perl Weekly newsletter and both Mohammad and myself got 10 new supporters. This is awesome.

    There are not many ways to express the fact that you really value the work of someone.
    You can send them postcards or thank-you notes, but when was the last time you remembered to do that?

    Right, I also keep forgetting to thank the people who create all the free and awesome stuff I use.

    Giving money as a way to express your thanks is frowned upon by many people, but trust me, the people who open an account on Patreon to make it easy to donate them money will appreciate it.

    In any case it is way better than not saying anything.

  • 2020.31 TwentyTwenty

    JJ Merelo kicked off the special 20-day Advent Blog cycle in honour of the publication of the first RFC that would lay the foundation for the Raku Programming Language as we now know it. After that, 3 blog posts got already published:

  • Supporting The Full Lifecycle Of Machine Learning Projects With Metaflow

    Netflix uses machine learning to power every aspect of their business. To do this effectively they have had to build extensive expertise and tooling to support their engineers. In this episode Savin Goyal discusses the work that he and his team are doing on the open source machine learning operations platform Metaflow. He shares the inspiration for building an opinionated framework for the full lifecycle of machine learning projects, how it is implemented, and how they have designed it to be extensible to allow for easy adoption by users inside and outside of Netflix. This was a great conversation about the challenges of building machine learning projects and the work being done to make it more achievable.

  • Django 3.1 Released

    The Django team is happy to announce the release of Django 3.1.

  • Awesome Python Applications: buku

    buku: Browser-independent bookmark manager with CLI and web server frontends, with integrations for browsers, cloud-based bookmark managers, and emacs.

  • PSF GSoC students blogs: Week 9 Check-in

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