DeepSeek for Coding: Debug Python Faster With Better Prompts (Real Example) скачать в хорошем качестве

DeepSeek for Coding: Debug Python Faster With Better Prompts (Real Example)

DeepSeek is known for coding and debugging, but the real win comes from learning how to ask for the right output. This video walks through a simple Python task (adding 10 numbers) and shows why the first result can fall apart when real inputs show up like fractions, decimals, or even letters. Then the prompt gets tightened: clearer requirements, better constraints, and proper error handling that prevents bad formats and zero denominators. The key idea is simple: DeepSeek can conceptually test and trace code even when it cannot execute it, but it only gets “smart” when the prompt is precise. Watch to see the exact progression from basic code to a safer, more practical solution that behaves like real software. 00:00 — Why DeepSeek Is Famous for Coding & Debugging 00:01:14 — Generating Python Code to Add 10 Numbers (What It Produces) 00:01:44 — Can DeepSeek Execute Code? Conceptual Testing vs Running 00:03:15 — Finding the Problem: Fractions and Real Inputs Break the Script 00:04:14 — Fixing It With Error Handling (Decimals + Fractions Support) 00:05:41 — Prompt Engineering Rules: Precision, Optimization, and Constraints https://www.mygreatlearning.com/acade... #DeepSeek #DeepSeekAPI #Python #Coding #Debugging #PromptEngineering #AIProgramming #SoftwareDevelopment #ErrorHandling #LearnToCode