Mira
if they are hotter than you, that means you're cooler than them
basic thermodynamics 😂
https://news.itsfoss.com/ab-download-manager/
bro whattt😂😂😂...i just wrote a simple script to install and update it and now I got mentioned in this article.
bro whattt😂😂😂...i just wrote a simple script to install and update it and now I got mentioned in this article.
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Didn't want to post about it without actually listening to it. But it was really great episode spanning so many humane topics. Really liked it!
Awesome work Half-Mokshie
[Dagwami Babi Podcast]
Awesome work Half-Mokshie
[Dagwami Babi Podcast]
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I don't want to wait in this weird number, someone should join !! 😂
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Forwarded from Dagmawi Babi
• YouTube • Spotify • Apple Podcasts • Pocket Casts • Goodpods • Castbox • RSS Feed • TerakiApp •
Enjoy Everywhere!
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I hope more people believe the "AI will replace all developers" thing, so there’ll be less coming into this profession and giving the rest of us better opportunities 😂
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You, yourself make your experiences worth something.
you worked as a janitor for 5 years, was it worth it? you decide..
you spent 5 years learning SE or anything else, was it worth it? you decide...
you worked as a janitor for 5 years, was it worth it? you decide..
you spent 5 years learning SE or anything else, was it worth it? you decide...
Approximating π.pdf
220.7 KB
neural_netss posted about his paper he wrote in high school, I kinda did the same thing but a lot sillier 😂.
It was for some competition a friend told me about, even if i got rejected it was a good experience and also I asked my friend to write the python script for me coz I didn't know sh*t back then😂
If you see section 3, you can guess i used to spent a lot of time playing with numbers coz u cant get that with a couple of tries, but i think um dumb to know why it works
It was for some competition a friend told me about, even if i got rejected it was a good experience and also I asked my friend to write the python script for me coz I didn't know sh*t back then😂
If you see section 3, you can guess i used to spent a lot of time playing with numbers coz u cant get that with a couple of tries, but i think um dumb to know why it works
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vscode forks are surfacing but I tried only Cursor and It's really good.
Cursor
Cursor · Cursor
Built to make you extraordinarily productive, Cursor is the best way to build software with AI.
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The two types of learning
When it comes to learning, I’ve found that the timing and context of acquiring knowledge can make all the difference. There are two types of learning I’ve experienced: “just-in-time” and “just-in-case.” Both have their place, but I’ve come to realize that “just-in-time” learning resonates with me the most, especially when it’s tied to a project or a real problem I need to solve.
“Just-in-case” learning is what we’re often exposed to in traditional education. It’s the process of learning something now because it might be useful someday. For example, memorizing formulas in math class or reading about abstract programming concepts without applying them. While this approach provides a foundation, it can sometimes feel disengaging or disconnected from reality. I’ve often found myself wondering, When will I ever use this?
On the other hand, “just-in-time” learning is entirely different. It’s when you learn something because you need it right now to solve a problem or complete a task. For instance, when I first encountered JavaScript array methods like
This is why I gravitate toward project-based or problem-driven learning. When I’m working on a project, I’m not just learning for the sake of it—I’m learning to make something happen. Whether it’s building a website, writing a script to automate a task, or designing a feature for an app, the process is immersive. I encounter challenges that force me to seek solutions, and every new piece of knowledge feels like a stepping stone toward achieving something tangible.
I think the reason I prefer this approach is that it aligns with how our brains naturally learn. When we solve real problems, we form stronger connections because we’re not just memorizing; we’re applying, experimenting, and even failing along the way. That process makes the knowledge stick and, more importantly, feel meaningful.
“Just-in-case” learning has its place—it lays the groundwork for what’s possible. But for me, “just-in-time” learning, especially when tied to projects or problems, is where the real growth happens. It keeps me curious, motivated, and constantly pushing the boundaries of what I can do.
When it comes to learning, I’ve found that the timing and context of acquiring knowledge can make all the difference. There are two types of learning I’ve experienced: “just-in-time” and “just-in-case.” Both have their place, but I’ve come to realize that “just-in-time” learning resonates with me the most, especially when it’s tied to a project or a real problem I need to solve.
“Just-in-case” learning is what we’re often exposed to in traditional education. It’s the process of learning something now because it might be useful someday. For example, memorizing formulas in math class or reading about abstract programming concepts without applying them. While this approach provides a foundation, it can sometimes feel disengaging or disconnected from reality. I’ve often found myself wondering, When will I ever use this?
On the other hand, “just-in-time” learning is entirely different. It’s when you learn something because you need it right now to solve a problem or complete a task. For instance, when I first encountered JavaScript array methods like
map and reduce, they seemed like abstract tools that I couldn’t quite grasp. But the moment I needed to transform an array of data for a project, those methods suddenly clicked. I was motivated to learn them because they had an immediate purpose, and their value was clear. That’s the magic of “just-in-time” learning—it’s practical, focused, and incredibly rewarding. This is why I gravitate toward project-based or problem-driven learning. When I’m working on a project, I’m not just learning for the sake of it—I’m learning to make something happen. Whether it’s building a website, writing a script to automate a task, or designing a feature for an app, the process is immersive. I encounter challenges that force me to seek solutions, and every new piece of knowledge feels like a stepping stone toward achieving something tangible.
I think the reason I prefer this approach is that it aligns with how our brains naturally learn. When we solve real problems, we form stronger connections because we’re not just memorizing; we’re applying, experimenting, and even failing along the way. That process makes the knowledge stick and, more importantly, feel meaningful.
“Just-in-case” learning has its place—it lays the groundwork for what’s possible. But for me, “just-in-time” learning, especially when tied to projects or problems, is where the real growth happens. It keeps me curious, motivated, and constantly pushing the boundaries of what I can do.
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if u use docker and read logs from ur containers often, try lazydocker its a big upgrade from 'docker logs' with many more features.
GitHub
GitHub - jesseduffield/lazydocker: The lazier way to manage everything docker
The lazier way to manage everything docker. Contribute to jesseduffield/lazydocker development by creating an account on GitHub.
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