Ep 6: String Concatenation is Killing Your API Performance скачать в хорошем качестве

Ep 6: String Concatenation is Killing Your API Performance

Is your Python API dragging its feet, even though your database queries are fast? The culprit might be hiding in the most basic operation: String Concatenation. Every time you use += in a loop to build a large response, Python is silently re-allocating memory and copying data over and over again. What looks like a simple O(N) task turns into an O(N²) performance disaster as your data scales. In Episode 6 of the Backend Masterclass, we move from "Scripting" to "Software Engineering." We stop stitching strings together like amateurs and start building professional-grade memory buffers. We dive deep into Batch vs. Stream processing, using real-world analogies (like Netflix vs. Downloading) to explain exactly when to use the standard "".join() and when you absolutely must use the powerful io.StringIO. 👇 IN THIS VIDEO YOU WILL LEARN: ✅ The Memory Trap: Why strings are immutable and why += is so slow. ✅ The "Tailor vs. Factory" Analogy: The definitive guide on when to use join vs. StringIO. ✅ Visualizing Latency: How streaming buffers improve user experience (Netflix example). ✅ The Redis Connection: How to build massive RESP network packets instantly using StringIO without burning your CPU. This isn't just a syntax tutorial; it's a lesson in system architecture and memory management required for building high-performance servers. 🔗 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/