Python in the Browser: Pyodide Enables Client-Side Execution

Comprehensive workflow illustrating how Django's Generic Views orchestrate form rendering, CSRF protection, validation, and persistence from client request to server response. request → validation → save → response. #Django #Python #WebDevelopment #Coding #FullStackDevelopment

🔲 Beginner-Friendly Guide 'Maximum Side Length of a Square' – LeetCode 1292 (C++, Python, JavaScript) By Om Shree Finding the perfect sub-section of a data grid is a classic challenge in computer science. In this problem, we explore how to efficiently calculate the sums of various squares within a matrix to find the largest one that stays under a specific limit. You're given: A 2D matrix of integers called m... https://lnkd.in/efYwHyVc

When using Claude for code generation, I have noticed that the model tends to jump into tasks without fully understanding the problem (reminiscent of my early career days). I have explicitly configured Claude to clarify requirements before tackling anything substantial. The prompt I am using: ─── If asked for information or small help (like bash commands), give answers directly. But if asked for a larger task (like generating python/js/html code), rewrite my requirement in a structured manner. Then get it reviewed by me. Ask clarification when required as a direct numbered list (without sub-bullets). Execute the larger tasks only after my confirmation. Don't jump into lengthy work without approval. ─── #llm #claude #humanintheloop #dontwastetokens

2,800 lines of Python vs. zero. I tested both. I wanted a dev journal that writes itself. Claude Code already logs everything, I just needed to expose it. So I built an API. FastAPI, REST endpoints, proxy scripts. It worked. Then I ran an experiment: what if I put my research notes directly into a system prompt? No API. Just context about the data structures of your Claude Code config folder. Result: Same quality output. The finding: Context in prompts can replace explicit coded workflows, at least for POC stage. More research to follow on this concept. What I am calling Agent Native Architectures Link to article: https://lnkd.in/gT83y23b

Another Python edge case I ran into while adding support in Memphis: generator return values. The return value doesn't show up in iteration (like the `list()` builtin), but it is surfaced via `StopIteration` when you advance the generator directly (using the `next()` builtin). A short example is below. I can't say I've ever encountered this as a user, but it was a fun one to discover while implementing it.

Top 20 Python's Built-in Functions Written by $DiligentTECH💀⚔️ Today, we are discussing the 20 most impactful built-in functions—some classic, some brand new—that will turn your scripts into sleek, professional masterpieces. 1: The Wave of Modern Logic In the recent evolution from Python 3.10 to 3.13, the language didn't just get faster; it got smarter. We are starting with the "freshmen" of the built-in world. https://lnkd.in/dp63AuWS 1. aiter() (Added 3.10): The gateway to asynchronous iteration. Think of it as the iter() for the "fast and furious" async world. 2. anext() (Added 3.10): The partner to aiter(). It fetches the next item from an asynchronous iterator. 3. breakpoint(): Your "emergency brake." It drops you straight into the debugger without needing to import pdb manually.

Most Python backend tutorials end at “the API works". Production starts where tutorials stop. Async edge cases. Auth mistakes. No tests. Manual deploys. Zero confidence touching old code. Backend engineering isn’t about knowing FastAPI. It’s about making decisions that survive traffic, change, and failure. That’s the gap most Python devs feel but can’t name. If this sounds familiar, you’re not behind. You were just taught the wrong finish line. #Python #BackendEngineering #FastAPI #AsyncPython #ProductionEngineering #SoftwareEngineering

Stop writing boilerplate: A Single Source of Truth for Rust, Go, Python and TS By hlop3z One Schema to Rule Them All Keeping database schemas in sync across Rust, Go, Python, and TypeScript is painful: you update a table, then update structs, then interfaces… and pray you didn't make a typo. I built AstrolaDB, a standalone CLI in Go, to solve this. Define your schema once in JavaSc... https://lnkd.in/eqHtD5N7

Just wrapped up my first Python automation script. Turned a 2-hour manual task into 5 minutes of code. The feeling when your code actually works? Unmatched. Here's what I learned: • Start small, build up • Debug early and often • Google is your best friend • Stack Overflow saves lives Currently diving deeper into web development with JavaScript. Every bug is a lesson. Every solution is progress. What's the most satisfying piece of code you've written recently? #Python #WebDevelopment #CodingJourney