Programming

On my work I’m always switching between databases, but I already tired because of UX differences between psql, mysql, sqlite3. So, I’m making a small set of tools for myself in tries to solve that. It’s kinda works for me already so I'm sharing it here :)

P.S. Already posted this in other places, sorry for annoyance

Andreas Kling aka @awesomekling wrote:

We've been evaluating a number of C++ successor languages for @ladybirdbrowser , and the one best suited to our needs appears to be @SwiftLang 🪶

Over the last few months, I've asked a bunch of folks to pick some little part of our project and try rewriting it in the different languages we were evaluating. The feedback was very clear: everyone preferred Swift!

Why do we like Swift?

First off, Swift has both memory & data race safety (as of v6). It's also a modern language with solid ergonomics.

Something that matters to us a lot is OO. Web specs & browser internals tend to be highly object-oriented, and life is easier when you can model specs closely in your code. Swift has first-class OO support, in many ways even nicer than C++.

The Swift team is also investing heavily in C++ interop, which means there's a real path to incremental adoption, not just gigantic rewrites.

Strong ties to Apple?

Swift has historically been strongly tied to Apple and their platforms, but in the last year, there's been a push for "swiftlang" to become more independent. (It's now in a separate GitHub org, no longer in "apple", for example).

Support for non-Apple platforms is also improving, as is the support for other, LSP-based development environments.

What happens next?

We aren't able to start using it just yet, as the current release of Swift ships with a version of Clang that's too old to grok our existing C++ codebase. But when Swift 6 comes out of beta this fall, we will begin using it!

No language is perfect, and there are a lot of things here that we don't know yet. I'm not aware of anyone doing browser engine stuff in Swift before, so we'll probably end up with feedback for the Swift team as well.

I'm super excited about this! We must steer Ladybird towards memory safety, and the first step is selecting a successor language that we can begin adopting very soon. 🤓🐞

cross-posted from: https://lemmy.ndlug.org/post/970135

GIL or Global Interpreter Lock can be disabled in Python version 3.13. This is currently experimental.

Python 3.13 brings major new features compared to Python 3.12 and one of them is free-threaded mode, which disables the Global Interpreter Lock, allowing threads to run more concurrently.

The GIL will be disabled when you configure the Python with the --disable-gil option which is nothing but a build configuration (free threading build) at the time of installation.

This will allow optionally enabling and disabling GIL using the environment variable PYTHON_GIL which can be set to 1 and 0 respectively.

It will also provide a command-line option -X gil which can also be set to 0 (disable) and 1 (enable).

I think object algebras have huge potential to improve the way complex software is written but I've never seen them used in practice. I think one reason why is that the research paper which introduced them is pretty hard to read. This post is my attempt to change that.

I've been working on this post off and on for like two years so I'm really excited to share it with people. It is very long. There's a lot of ground to cover.

Wrote an article about my extended skill issues and failures at writing Rust for the web. Luckily managed to get back on track recently.

cross-posted from: https://lemmy.ml/post/19003650

vt-enc is a bash script that simplifies the process of encoding videos with FFmpeg using Apple's VideoToolbox framework on macOS. It provides an easy-to-use command-line interface for encoding videos with various options, including codec selection, quality settings, and scaling.

Seeing that Uncle Bob is making a new version of Clean Code I decided to try and find this article about the original.

Friend who is not a software person sent me this tweet, which amused me as it did them. They asked if "runk" was real, which I assume not.

But what are some good examples of real ones like this? xz became famous for the hack of course, so i then read a bit about how important this compression algorithm is/was.

Interpreting C++, executing the source and executable like a script.

• Writing powerful script using C++ just as easy as Python;
• Writing hot-loading C++ script code in running process;
• Based on Unicorn Engine qemu virtual cpu and Clang/LLVM C++ compiler;
• Integrated internally with Standard C++23 and Boost libraries;
• To reuse the existing C/C++ library as an icpp module extension is extremely simple.

There is also a Qt helper module: https://github.com/vpand/icpp-qt

Sorry, the question in title sounds naive. I have no doubt that math is essential in programming, but I am thinking about philosophy of programming and want to summarize when they're needed in programming. My attempt is below:

Most applications of programming are making electronics do things through their interfaces. Whether that's telling a screen to display something, a network wire to transport data, a hard disk to persist data.

But we often need math because we often transform data, or we might make said electronics do things based on user input, or an event. Transforming an event to data is a mathematical construction.

Some applications are almost purely mathematical, like banking, crypto currency, or encryption.

In your opinion, does this fully explain why we need math in programming? Is there a better way to sum it up?

There was a roast my github profile site going around recently so as a counter to that someone made a praise my github profile. Enter your profile and get an AI complimenting you

To accelerate the transition to memory safe programming languages, the US Defense Advanced Research Projects Agency (DARPA) is driving the development of TRACTOR, a programmatic code conversion vehicle.

The term stands for TRanslating All C TO Rust. It's a DARPA project that aims to develop machine-learning tools that can automate the conversion of legacy C code into Rust.

The reason to do so is memory safety. Memory safety bugs, such buffer overflows, account for the majority of major vulnerabilities in large codebases. And DARPA's hope is that AI models can help with the programming language translation, in order to make software more secure.

"You can go to any of the LLM websites, start chatting with one of the AI chatbots, and all you need to say is 'here's some C code, please translate it to safe idiomatic Rust code,' cut, paste, and something comes out, and it's often very good, but not always," said Dan Wallach, DARPA program manager for TRACTOR, in a statement.

researchers conducted experimental surveys with more than 1,000 adults in the U.S. to evaluate the relationship between AI disclosure and consumer behavior

The findings consistently showed products described as using artificial intelligence were less popular

“When AI is mentioned, it tends to lower emotional trust, which in turn decreases purchase intentions,”

I just found about the rather experimental chaarts. It enhances the standard html and turns it into different charts. Complete with hover text and animations.

It seems to be pretty accessible. And if the user agent doesn't support the fancy css it degrades gracefully to the original