Python Crash Course for Data Engineering | Lists, Dicts, Functions & More | Live #7

NEW CHAPTER BEGINS — Welcome to Python for Data Engineering! We're done with SQL (Sessions 1–6) and now it's time to start Python. But here's what makes this different from every other Python course out there: ❌ This is NOT a Python developer course ❌ No building web apps, no Django, no Flask ✅ 100% focused on what a Data Engineer actually uses on the job If you're learning Python to become a Data Engineer, this is the ONLY series you need. ───────────────────────────────────────── 📌 WHAT WE COVER TODAY (Session 1): ───────────────────────────────────────── 🔷 Python Data Types for DE: ✅ Lists, Tuples, Dictionaries & Sets ✅ When to use which — DE context ✅ List & Dict Comprehensions (used everywhere in pipelines) ✅ Strings — slicing, formatting, f-strings 🔷 Control Flow: ✅ if/elif/else — real DE use cases ✅ for loops & while loops with data structures ✅ Exception handling — try/except/finally (critical for pipelines)