🎓 Episode 2: Variables, Memory & Data Types in Python

🎓 Episode 2: Variables, Memory & Data Types in Python

Welcome to Episode 2 of the Python Developer Bootcamp!

In this in-depth and visually rich lesson, we break down how Python handles variables, memory, and different data types. Perfect for developers who want to go beyond the basics and understand Python under the hood.

✅ What You’ll Learn:
- How variables in Python are references to objects in memory
- The difference between mutable and immutable types
- Using the id() function to explore object identity
- How dynamic typing and duck typing work in Python
- The role of type hints in writing clean, maintainable code
- Why 0.1 + 0.2 doesn’t exactly equal 0.3—and how to fix it

🧠 Key Concepts:
- Object identity vs equality
- Python’s memory model
- Float precision and the decimal module

🚀 By the end of this episode, you’ll have a solid grasp of how Python stores and manipulates data, preparing you for writing smarter, safer code.

🔔 Next up: Control flow with conditionals and logical operators.

#Python #Variables #MemoryManagement #PythonDataTypes #developerbootcamp

00:00 – 00:40 – Introduction
Overview of what the episode covers and why it matters
00:40 – 02:00 – Variables as References
How Python binds variable names to objects in memory
02:00 – 03:00 – Object Identity
Demonstration of shared references and how id() works
03:00 – 04:30 – Immutability vs Mutability
Integer vs List behavior with variable binding
04:30 – 05:45 – Copying Objects Safely
copy() and deepcopy() to avoid shared references
05:45 – 07:00 – Dynamic & Duck Typing
Type flexibility, reassigning variables, and duck typing examples
07:00 – 08:00 – Type Hints for Clarity
Use of def greet(name: str)
08:00 – 09:30 – Float Precision in Python
09:30 – 11:00 – Summary & Takeaways
Key points on memory, references, typing, and mutability
11:00 – 12:00 – What’s Next
Tease next episode on conditionals and control flow