Tests don't slow down development. Poor tests do. A test that passes when the thing it's testing is broken isn't a test. It's false documentation. It tells future developers "this works" when it doesn't. That's worse than having no test, because no test at least makes you uncertain. Write tests that fail loudly when the contract is violated. That's the only kind that earns their maintenance cost. #SoftwareEngineering #developer #coding #Python
Write Loudly Failing Tests for Better Software
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Tests don't slow down development. Poor tests do. A test that passes when the thing it's testing is broken isn't a test. It's false documentation. It tells future developers "this works" when it doesn't. That's worse than having no test, because no test at least makes you uncertain. Write tests that fail loudly when the contract is violated. That's the only kind that earns their maintenance cost. #SoftwareEngineering #developer #coding #Python
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Tests don't slow down development. Poor tests do. A test that passes when the thing it's testing is broken isn't a test. It's false documentation. It tells future developers "this works" when it doesn't. That's worse than having no test, because no test at least makes you uncertain. Write tests that fail loudly when the contract is violated. That's the only kind that earns their maintenance cost. #SoftwareEngineering #developer #coding #Python
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Absolutely agree! Effective testing is crucial for maintaining code integrity and ensures future developers can trust the system. Let's prioritize meaningful tests!
Tests don't slow down development. Poor tests do. A test that passes when the thing it's testing is broken isn't a test. It's false documentation. It tells future developers "this works" when it doesn't. That's worse than having no test, because no test at least makes you uncertain. Write tests that fail loudly when the contract is violated. That's the only kind that earns their maintenance cost. #SoftwareEngineering #developer #coding #Python
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I thought and and or worked the same everywhere. They don’t. Same idea. Very different outputs 🧠 What this means Same operators… different behavior: Python → returns values JavaScript → returns values C/C++ → returns 0/1 Java → strict boolean only ⚠️ Why this matters If you switch languages: 👉 Your code might “work”… 👉 but behave very differently 🎯 One-line takeaway 👉 and / or are not universal — they follow the rules of the language you’re in What language surprised you the most with this? #Python #JavaScript #Programming #Coding #Developers #LearningInPublic
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Most website delays happen because development ownership is unclear. That’s why companies partner with D2 WebTech for: ✔ Clear accountability ✔ End-to-end delivery ✔ Clean, scalable Python + React code If you’re planning a new website or revamp, let’s talk. #WebsitePartner #DigitalTransformation
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Most website delays happen because development ownership is unclear. That’s why companies partner with D2 WebTech for: ✔ Clear accountability ✔ End-to-end delivery ✔ Clean, scalable Python + React code If you’re planning a new website or revamp, let’s talk. #WebsitePartner #DigitalTransformation
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Most website delays happen because development ownership is unclear. That’s why companies partner with D2 WebTech for: ✔ Clear accountability ✔ End-to-end delivery ✔ Clean, scalable Python + React code If you’re planning a new website or revamp, let’s talk. #WebsitePartner #DigitalTransformation
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🚀 Day 15: Testing in Python Writing code is important but making sure it works correctly is even more important. 👉 That’s where Testing comes in. Testing helps ensure that your code behaves as expected and reduces bugs in your applications. 🔹 Types of Testing: ✔ Unit Testing Testing individual parts (functions, methods) ✔ Integration Testing Testing how different parts work together 🔹 In Python, we commonly use: ✔ unittest (built-in library) ✔ pytest (popular third-party framework) 💡 Example (unittest): import unittest def add(a, b): return a + b class TestAdd(unittest.TestCase): def test_add(self): self.assertEqual(add(2, 3), 5) 📌 Why it matters? ✔ Helps catch bugs early ✔ Improves code quality ✔ Makes your application more reliable ✔ Builds confidence when updating code 💡 Professionals don’t just write code they test it. 📈 Step by step, writing cleaner and more reliable software. #Python #Testing #Programming #Developers #SoftwareEngineering #BackendDevelopment #LearningJourney #Django
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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
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Pseudocode: The Secret Weapon of Smart Developers Before writing code, smart developers write logic. That’s called pseudocode. It’s simple. No syntax. No errors. Just clear thinking. Instead of jumping into JavaScript or Python, write: → Step 1: Take input → Step 2: Validate data → Step 3: Process logic → Step 4: Return result When your logic is clear, coding becomes easy. Syntax is just translation. Strong developers don’t code first. They think first. #Programming #Developer #Coding #ProblemSolving #SoftwareDevelopment
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