London Ball’s Post

Python Async vs Threading (Truth) ⚡ Async or Threading… which one is better? 🤔 Most developers are confused here ❌ Content: Let’s break it simply 👇 ⚡ Threading → Multiple threads run at the same time → Good for I/O tasks (API calls, file read) → But limited by GIL in Python ⚡ Async (async/await) → Runs tasks without blocking → Best for high-concurrency apps → Used in FastAPI, modern backends 🚀 Simple difference: 👉 Threading = Multiple workers 👉 Async = One smart worker handling many tasks What beginners do: ❌ Use threading everywhere ❌ Don’t understand blocking What smart devs do: ✅ Use async for APIs ✅ Use threading for simple tasks ✅ Choose based on problem Why this matters: Right approach = better performance 💯 Reality: There is no “best”… Only what fits your use case Pro Tip: If you're building APIs → learn async first 🚀 CTA: Follow me for real backend knowledge 🚀 Save this post for revision 💾 Comment "ASYNC" or "THREAD" 👇 #Python #Async #Threading #Backend #Programming #Developer #FastAPI #Coding #SoftwareEngineer #Tech

Async I/O: Waiting Without Blocking Asynchronous programming is a programming model, not a hardware property. It answers: how can a single thread handle many tasks efficiently by never sitting idle? The core idea is the event loop. Instead of blocking while waiting for a response, an async system registers a callback, releases the thread, and picks up where it left off when the response arrives. Key insight: → Two async queries = max(t_user, t_orders) → Two sync queries = t_user + t_orders That's the efficiency gain. Async uses special syntax: → async/await in JavaScript, Python, Rust → Fibers in Ruby → Goroutines in Go The runtime transforms your linear code into a state machine that pauses and resumes at await points. 💡 Why Node.js is async by design: → Single-threaded with event loop → Handles thousands of connections with one thread → No thread memory overhead Common misconception: ❌ "Async means parallel" ✅ NO — async is still single-threaded. It achieves concurrency through interleaving, not simultaneous execution. #SoftwareEngineering #AsyncIO #NodeJS #JavaScript #SystemDesign #Backend #Programming #Performance

Most developers remember their first line of code. For many of us, it started with a simple: "Hello, World!" It may look trivial, but this tiny program represents something much bigger: → The beginning of problem-solving → The first step into building real systems → The moment code actually works In this post, you can see together how “Hello, World!” looks in 5 popular languages: PHP, Python, JavaScript, Java, and C# Different syntax. Same purpose. And that’s the beauty of programming: Once you understand the logic, the language becomes just a tool. What was your first programming language? #programming #coding #softwaredevelopment #developers #webdevelopment #learncoding #100DaysOfCode #technology #beginners #devlife

🚀 Day 8: Modules & Packages in Python As your code grows, managing everything in a single file becomes messy and hard to maintain. 👉 That’s where Modules and Packages come in. They help you organize your code into smaller, reusable, and manageable parts. 🔹 What is a Module? A module is simply a Python file that contains functions, variables, or classes. Example: import math print(math.sqrt(16)) 🔹 What is a Package? A package is a collection of multiple modules organized in directories. 📂 Think of it like: 👉 Folder = Package 👉 Files inside = Modules 🔹 Why use Modules & Packages? ✔ Improve code organization ✔ Promote reusability ✔ Make large projects manageable ✔ Help in team collaboration 📌 Real-world connection: Frameworks like Django and libraries like React projects (via APIs) heavily rely on modular structure. If your code is not organized, scaling becomes difficult. 💡 Writing code is easy organizing it professionally is what makes you a real developer. 📈 Step by step, building industry-level skills. #Python #Programming #Developers #Coding #BackendDevelopment #Django #SoftwareEngineering #LearningJourney

𝗜𝗻𝘁𝗿𝗼𝗱𝘂𝗰𝗶𝗻𝗴 𝗞𝗮𝗶𝗿𝗼! About a year and a half ago, my friends and I started building a programming language. We'd been writing systems-level code across C++, Rust, and lower-level tooling for long enough to have strong opinions about what was missing. C++ gives you performance and the richest library ecosystem in systems programming, but the language fights you at every turn undefined behavior, header hell, decades of accumulated complexity. Rust solves the safety problem but introduces real cognitive overhead and a syntax that trades readability for compiler appeasement. We wanted something that didn't force that tradeoff. So we built Kairo a statically typed systems programming language with bidirectional C++ interoperability, readability-first syntax, and a memory safety model that gives you both manual and automatic memory tracking without fighting a borrow checker. 𝗪𝗵𝗲𝗿𝗲 𝘄𝗲 𝗮𝗿𝗲 𝗻𝗼𝘄 The project has come a long way. We shipped a Stage 0 bootstrap compiler, then used it to build a Stage 1 self-hosted compiler; Kairo is being written in Kairo itself! The language, toolchain, and ecosystem are actively under development and roughly halfway to a production release. 𝗪𝗵𝗮𝘁 𝗺𝗮𝗸𝗲𝘀 𝗞𝗮𝗶𝗿𝗼 𝗱𝗶𝗳𝗳𝗲𝗿𝗲𝗻𝘁 - Bidirectional C++ FFI call C++ from Kairo and Kairo from C++, no bindings layer required. - Readability-first design. Code should be readable by default, not after three months of pattern memorization. - BCIR/AMT memory safety model manual and automatic memory tracking with safety guarantees, without Rust's borrow checker annoyance. - Planned interop expansion to Python and Rust. - Full access to the existing C++ library ecosystem from day one. 𝗖𝗼𝗻𝘁𝗿𝗶𝗯𝘂𝘁𝗼𝗿𝘀 :Arnav Goyal , Dhruvan Kartik and Me 𝗟𝗶𝗻𝗸𝘀 - Website: https://www.kairolang.org - Github: https://lnkd.in/gZEdW2Gi We're a three-person team and the project has 360+ GitHub stars. If this interests you, a star, an issue report, or a contribution all help. #CompilerDev #Compiler #tech #buildinpublic #SystemsEngineering

#Ansible demonstrates excellent separation of concerns and extensibility and just how useful #python can be. Using its source code as a case study would benefit any software developer, I'm sure. It'd be a great subject for a senior project if you're in school.

Most people who try Claude Code use it to write better code. That's the wrong thing to optimize for. I've been using it for two months without knowing how to code. Not "a little coding." Zero. I don't understand what a function does. I can't read Python. The moment a tutorial mentions "run this script" my brain quietly files it under not-for-me. And yet I've built systems I couldn't have shipped if I were a developer — because I don't think in code. I describe what I want in plain English, the way you'd brief a contractor. What the thing does. What it should respond to. What happens when it goes wrong. Developers start with the implementation. Non-developers start with the outcome. Claude Code rewards the second instinct, not the first.

🚀 Every developer remembers their very first “Hello, World!” moment 👨💻✨ If you’ve started coding and tried multiple languages already, you’re learning fast — but your first one always hits different 😌 I’ve put together a clean visual cheat sheet: ✔️ Python ✔️ JavaScript ✔️ TypeScript ✔️ Rust ✔️ Go ✔️ Swift ✔️ Kotlin ✔️ Java ✔️ C# ✔️ C++ 💡 These are not just languages — they are the foundation of everything you build in tech. Whether you're a beginner or experienced developer, your first language shapes how you think about coding 🧠 👉 Save this post 👉 Share with your coding friends 👉 Comment your first language 👇 #Programming #Coding #Developers #Python #JavaScript #100DaysOfCode #LearnToCode #Tech #SoftwareDevelopment #CodingJourney

The most valuable debugging skill is not knowing how to fix bugs. It is knowing how to read what the system is actually telling you. Early in my career I would Google the error message immediately. Copy paste. Find a Stack Overflow answer. Apply it. Hope it works. Sometimes it did. Often it did not. And I never understood why either way. The shift happened when I started reading the full stack trace before touching anything else. The error message is the last line. The stack trace is the story of how you got there. Read the story. The fix usually becomes obvious without needing to search for it. Three things I now do before touching any bug: Reproduce it consistently first. A bug you cannot reproduce reliably is a bug you cannot fix reliably. Read the full log output not just the error line. Write down what you expected to happen versus what actually happened. That gap between expectation and reality is exactly where the bug lives. #Debugging #SoftwareEngineering #BackendDevelopment #NodeJS #Python #Programming #Developer #TechTips #FullStackDevelopment #CodingLife #SoftwareDevelopment #JavaScript #BuildInPublic #TechLessons #CodeQuality

Stop wasting time fighting with environment versions. 🛑 Managing different versions of Node.js, Python, and other tools across projects shouldn’t be a headache. asdf lets you manage 500+ tools effortlessly, ensuring your team is always on the exact same setup using a simple .tool-versions file. Check the workflow below to see how it works. 👇 What are you using to manage your dev environment right now? #javascript #python #reactjs #webdevelopment #softwareengineering #coding #productivity #devops #programming #developer