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Boris

@lokasan

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Using Data and Non-Data Descriptors in Python: A Practical Perspective At first, Python descriptors seem like an advanced, behind-the-scenes feature. But once I started using them directly, especially data and non-data descriptors, they became essential for writing cleaner, more powerful code. Data descriptors implement both __get__ and __set__, and always take precedence over instance attributes. I used one to validate temperatures — even if someone tried obj.temp = "hot", the descriptor enforced correctness. This gave me full control over data integrity. Non-data descriptors, with only __get__, are overridden by instance attributes. That’s perfect for cases like @lazy_property, where I compute a value once and store it in the instance for future access — efficient and clean. The key benefit of descriptors is separation of behavior from logic. I no longer scatter validation or caching across the class — it all lives in small, reusable descriptor objects.
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Why Prompt Engineering Matters in Web3 Development Prompting isn’t just for ChatGPT memes. In Web3 development, it can save you hours of time. But only if you do it right. Here's how to prompt like a dev ⚒️👇 🧠 Treat the AI like a junior dev who knows everything… but needs guidance. No context = garbage output. 🧱 Always specify: • Blockchain (e.g., Ethereum, Solana) • Language (Solidity, Rust, Move) • Stack (React, ethers.js, wagmi) • Version (ethers v6 ≠ v5) ❌ Bad: “Write a smart contract” ✅ Good: “Write an ERC-20 token contract in Solidity using OpenZeppelin, with minting + pausable, for deployment on Polygon.” 🧪 Use a step-by-step approach: • Ask for contract first • Then write tests • Then connect with frontend • Then optimize It’s easier to debug in chunks. 📦 Bonus tip: Mention your library versions. Code for ethers v5 might break on v6. Same with wagmi v2 vs v1.
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How ITIL v4 Supports Development ITIL v4 (Information Technology Infrastructure Library) is a flexible set of best practices designed to help organizations manage IT services throughout their lifecycle. Here's how it helps with modern software development: 1. Value-Driven Mindset ITIL v4 starts with the question: What value are we delivering? This encourages development teams to align with business goals and user needs, not just technical specs. 2. The Service Value System (SVS) At the heart of ITIL v4 is the Service Value System, which integrates strategy, governance, operations, and continual improvement. It helps teams understand how their work contributes to overall service delivery. 3. Integration with Agile, DevOps, and Lean Unlike earlier versions, ITIL v4 embraces Agile and DevOps cultures. It supports fast iteration, automation, feedback loops, and cross-functional collaboration — key ingredients in modern development.
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How No-Code Changed the Way I Build Products A year ago, I had zero experience with programming. I had ideas — lots of them — but every time I thought about turning them into real products, I hit the same wall: I couldn’t code, and hiring developers was too expensive. Then I discovered no-code tools. It started with Tally for creating forms, then Notion for organizing ideas. Pretty soon, I was building full workflows using Airtable and Zapier. My first “real” project was a job board for remote designers — I built it in Webflow and connected it to Airtable using Make. The whole thing took less than a week. Was it perfect? No. But it worked. People used it. That was a game-changer. Since then, I’ve launched three small products, automated my client onboarding process, and even helped friends build MVPs for their startups. All without writing a single line of code.
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