Ep 2: List vs Tuple vs Set vs Slots: Python Memory Optimization (1M Data Challenge) скачать в хорошем качестве

Ep 2: List vs Tuple vs Set vs Slots: Python Memory Optimization (1M Data Challenge)

Your Python code might be logic-perfect, but is it wallet-friendly? 💸 ⏱️ Timestamps: 00:00 - Intro 02:13 - List Explained 05:45 - Tuple Explained 09:25 - Set Explained 12:30 - The 1 Million Data Benchmark 18:10 - Class Explained 21:06 - The Magic of _slots_ 29:40 - Conclusion As backend developers, we often default to using Lists [] for everything. But when your application scales to millions of users, that tiny decision can double your RAM usage and crash your server. In this episode of DSA for Backend Developers, we are doing a practical Memory Benchmark. We will load 1 Million Records using Lists, Tuples, and Sets to see exactly how much RAM they consume. 🔥 The "Secret Weapon" for Django Devs: Most tutorials stop at Lists vs Tuples. We are going a step further. I will show you how to use __slots__—a powerful class optimization technique that can reduce your object memory footprint by 40-60%. If you are building data-heavy apps or dealing with Django models, this is a game-changer. What we cover: ✅ The Benchmark: Storing 1,000,000 items in memory (Live profiling). ✅ The Trap: Why Set is fast for searching but terrible for memory. ✅ The Solution: When to use Tuple to save RAM. ✅ Advanced: How _slots_ kills the _dict_ overhead in Python classes. Stop wasting RAM. Let's engineer better systems. 🛠️ 🔗 Resources & Links 📂 Full Playlist:    • Backend Engineering Masterclass in Python:...   Connect me on LinkedIn:   / romjanxr   Follow us on Facebook:   / logicandlayer   My Personal Portfolio: https://romjanali.dev/