Overcoming JavaScript Challenges for Python Devs

Learning about lambda functions in Python. Based on what I know from JavaScript, it seems relatively close to using an arrow function because both are anonymous and can be written in one line. I think arrow functions were more versatile though. Anyways, interesting to see similarities between languages! 🤔

Rust is much faster than Python or JS. It's also statically typed and less likely to fail at runtime. In the era of LLM assistants, what justifies writing any new (backend) software in Python or JS?

There's a misconception that Python is faster than Ruby. It's completely false. Any dynamic language is basically the same speed. Ruby, Python, JavaScript. They're all in the same ballpark. If you need real performance, you're not choosing Python or Ruby. You're choosing Rust or Go or something compiled. The point is don't pick the language based on speed myths. Pick the language that lets you develop fastest. Watch the full episode: https://lnkd.in/e7ekHCxP

There's a misconception that Python is faster than Ruby. It's completely false. Any dynamic language is basically the same speed. Ruby, Python, JavaScript. They're all in the same ballpark. If you need real performance, you're not choosing Python or Ruby. You're choosing Rust or Go or something compiled. The point is don't pick the language based on speed myths. Pick the language that lets you develop fastest. Watch the full episode: https://lnkd.in/eGt2D4-a

There's a misconception that Python is faster than Ruby. It's completely false. Any dynamic language is basically the same speed. Ruby, Python, JavaScript. They're all in the same ballpark. If you need real performance, you're not choosing Python or Ruby. You're choosing Rust or Go or something compiled. The point is don't pick the language based on speed myths. Pick the language that lets you develop fastest. Watch the full episode: https://lnkd.in/ecudEvuu

The three ways to make websites in Python, fast & easy, link below to a video from "Tech with Tim" YouTube channel. #Python #Streamlit #Django #Website #websiteDevelopment https://lnkd.in/epx9txRJ

GIL is not the reason Python is slow. for example JS is single threaded unless you use worker threads for multithreading but still much much faster. the problem with python is it's slow interpreter and asyncio.

I made another Python package! It simplifies bKash integration in Python. On top of that, it supports async, so integrating it with web frameworks like FastAPI is gonna be smooooooth. I went through the bKash API docs so you don’t have to, and trust me when I say this, it wasn’t a pleasant experience. The official documentation is full of discrepancies, and some parts haven’t been updated in a long time. I had to do a fair amount of guessing and dig through other people’s TypeScript implementations to figure things out. Overall, the docs might look slick, but under the hood, it’s a real mess. You’ll find detailed usage examples and documentation on my GitHub.

Knowing Python and knowing Python are two different things. I thought I knew functions. Define it, call it, return something. Done. Then today I hit nonlocal, pure vs impure, scope rules. And realized: I knew the words. Not the language. The real gap is not between beginners and experts. It is between people who recognize syntax and people who understand consequences. Went out with friends today for the first time in a while. Came back late. Opened VS Code anyway. Late is not the same as absent. Day 6. Streak still on. Today again I felt the gap between knowing something and actually understanding it?

Midiscript.org | The core repo is a small Python DSL that turns files into… The core repo is a small Python DSL that turns `.ms` files into MIDI. Under the hood it’s a CLI + lexer + parser + MIDI generator.