Aerospace is not ideal for me. It doesn't use the native spaces, but instead places windows out of sight (one pixel still visible). When it crashes you either have a LOT of windows floating on top of each other, or they are out of reach. I much rather use the native spaces. It is of course a shame that we have to (partially) disable SIP for all apps to get only Yabai working, but then again, on Linux there is no SIP and that worked fine for me for years. I use only Karabiner (no skhd), works perfectly.

Stayed to the end. Being proud of myself 🎉

Could you share your terminal config?

Thanks a lot for this video, I managed to get it working except one thing. The level 4 thing, apps always open in the same Space, anyone facing this issue?

Thanks Mehdi! Going to check it out.

Poor XML😂

Pleases someone tell me how to get a complete rid of any animations in mac like minimizing and maximizing apps

Very interesting man! Nice job

I'm hooked not only on data engineering topics but on your presentation style. Are there any other resources you would recommend to a beginner? Also, i just learned pandas, should I jump to spark or polars? Thank you Medih. Subscribed!

The pdf is insane. There are so many technologies

raycast & aerospace video

20%

Man you got swag.❤

Ray cast video please 🙏🏻

You could use uv 😂

brother can you make a video how to manage dotfile from scratch on mac?

boy from Brazil here, I met you a few months ago through Luciano, your videos are very good!

Let me know if you've been using such a setup for simple data pipelines-I'm curious to hear! Something else I haven't mentioned is the trend of declarative data pipelines using YAML, even with data orchestrators (e.g., Kestra). This brings both tooling even closer together.

Did You know you can use poetry instead of Uv? Would definitely recommend to give a try!

Do you know Aerospace?

People calling python not slow haven't worked on large python projects. For small things and scripting I would argue python is probably the fastest language to use for a no result to result time almost always. It's what I reach for every time. Especially since LLMs are optimized for python above any other language. Large python projects are something else. Oh boy. People getting sloppy and slapping in n^2 algorithms for 1000+ long element objects here and there and yeah... Python apps suddenly become unbearably slow. Even moreso on old hardware. Scaling python is too much of a hassle I've found and this is coming from someone who beat the drum of full stack python. I have switched to using exclusively go for backends and I can guarantee even an absolutely terrible go backend implementations will still be more performant and scalable than just about any python.

It seems it's missing how to display the app icons of each space. 😁

I'd love to see the theme used in the thumbnail :D

Do you have video about your prompt theme?

To bad, they commented to break the PR into multiple PRs 😑

Yeah, man! I use a similar philosophy in my KDE environment on linux.

Pretty good video, I'm one of those who started using DataGrip, then switched to DBeaver. But this video really makes me rethink the option to get rid of it.

The title should be "Most of the time, Python being slow does not matter". That said, it is slow.

going for a walk from bed to kitchen isnt slow aswell. now try to walk 40Km to the city and call it fast :D

What's slow is slow. No one cares about "fast syntax writing" or UX or whatever the hell because that part is subjective, when people mention speed they obviously relate to execution speed.

If you are compiling your core code in C++/C and calling it from extensions/dynamic libraries in Python. Python is slow and you're just being contrarian. Python like Ruby and every other scripting language that has ever existed is always slower than natively compiled code, it will never be faster. They also, while slower, have their places in the various markets and industries programmers and scripters work in. If you need to call most of your code from outside Python, the language is just a framework for you to call native code from.

Python isn't used in AI. Python uses AI. The AI and compute portion aren't done in Python. But developers create bindings for the non dev AI researchers to call the AI libraries.

Anyone that says that python isn't slow, never had to scale it. Python is fundamentally easy to write, hard scale. Which at some point and for certain project it makes it really hard to justify on a purely software engineering perspective, since the more optimize the more you usually end up losing on a readability which is the whole point of using python in the first place, and what for? I can make a Go program in roughly the same time that will run magnitudes faster.

I understand ur point, however what I don’t understand is how is ur point relevant to the idea of the benchmark ? The benchmark is straightforward, language runtime speed, it’s a race, yes like F1 race. It’s not about idea -> reality, it’s not about library, it’s not about right tool for right job, it is just to showcase language raw performance when all of them are trying to do the same task. So in this context, for the sake of this race, Python is slow, and it’s ok to be slow, because Python’s performance was never its strong suit.

It's slow. Compared to fast languages, of course it's slow... You can't argue with that. The only way to make Python fast is... to use a fast language and call it from Python. So, yes, Python is slow. And more Python is hell for large projects.

What's your experience with Python's performance ? Love or hate ?

So to resume : Python is fast to write but slow in performance. It just depends on the project

mehdio: "Python is not slow". also mehdio: "When Python is slow, people write code in C++ to make something actually fast, and then call it from Python". So yeah folks, Python _is_ slow...

I am with you bro

What tools or theme do you use for your clean terminal?

🔥

You're always the best

Great stuff Mehdi, learned a thing or two I hadn't on other videos. I really need to spend time on the docs, to learn more than the basics.

I'm gonna migrate my poetry projects to uv

Is there any reason why you WOUDN'T use uv as of today? They have a drop-in replacement for pip, so you can literally start speeding things up by just replacing pip install with uv pip install!

Just discovered your channel! Nice content! I'll look @ more. Any chance you can share me the portable vesa you use for the monitor? Thanks 🙏

I had the problem, help me plz. ➜ yabai -m space --focus 2 cannot focus space due to an error with the scripting-addition.

Dash to Dock for macOS, finally. Thanks!

Just use linux. And all the shortcut and no mouse...is more for a specialised workflow...just try to use blender with its million shortcut and your setup... This will be a mess in seconds... For coders ok, but the time I waste to use the MacOS basics is mostly the time you use to config and update all this. And less is more (better) for coders to eliminate possibilities, I guess.

Pretty cool, I was looking something like this, I also switch between linux machines and mac os and I'm a total disaster. This looks pretty similar to i3 :-)