Perfect — this fits exactly with your current learning trajectory (SQL → PySpark → AWS → AI).
Below is a true Python Programming Mastery Course (30 Days) designed for deep conceptual + CPython-level understanding, not tutorial-style fluff.

This is the kind of Python knowledge expected from:

• Senior Data Engineers
• Backend Engineers
• AI / ML Engineers
• System Design + Interview Whiteboard rounds

You’ll understand how Python actually works internally, not just how to use it.

🧠 Python Programming Mastery (30 Days)

Goal: Absolute mastery of Python fundamentals
Level: Beginner → Advanced → Internals → Interview Mastery
Focus: CPython internals, memory model, execution model, edge cases

🧩 COURSE PHILOSOPHY (IMPORTANT)

We will learn Python in 5 layers:

1. Language layer – syntax, constructs
2. Runtime layer – how Python executes code
3. Memory layer – objects, references, GC
4. CPython internals – bytecode, interpreter, data structures
5. Interview layer – traps, puzzles, optimization tricks

📅 DAY-WISE MASTER PLAN

🟢 DAY 1 — What Is Coding? What Is Python REALLY?

Concepts

• What is programming? (machine-level view)
• Compiled vs Interpreted languages
• Why Python is not truly interpreted
• History of Python & philosophy (PEP 20)
• Where Python fits vs C / Java / Scala

Deep Dive

• What happens when you run python file.py
• Role of:
  • Parser
  • Compiler
  • Interpreter
  • Virtual Machine

Interview Traps

print(type(type(int)))

🟢 DAY 2 — Python Execution Model (Inside CPython)

Concepts

• Source Code → Bytecode → Execution
• .pyc files
• Python Virtual Machine (PVM)
• Stack-based execution

CPython Level

• Bytecode instructions (LOAD_FAST, CALL_FUNCTION)
• Disassemble code using dis

Interview Gold

def f():
    return 1

print(f.__code__.co_consts)

🟢 DAY 3 — Variables, Names, References (CRITICAL DAY)

Concepts

• Variables are names, not containers
• Object identity vs value
• id(), memory addresses
• Mutability vs Immutability

CPython Internals

• Reference counting
• Object header (ob_refcnt, ob_type)

Interview Traps

a = 256
b = 256
print(a is b)   # why True?

a = 257
b = 257
print(a is b)   # why False?

🟢 DAY 4 — Python Memory Management + Garbage Collection

Concepts

• Stack vs Heap
• Reference Counting
• Cyclic garbage
• gc module

Deep Dive

• Why Python leaks memory in long-running apps
• When __del__ is dangerous

Interview Trap

a = []
a.append(a)

🟢 DAY 5 — Built-in Data Types Overview (Big Picture)

• Everything is an object
• type, object, NoneType
• Truthiness rules
• Singleton objects

🟢 DAY 6 — Integers & Floats (Internal Implementation)

CPython

• Arbitrary precision integers
• Why 10**100 works
• Float precision (IEEE 754)

Interview

print(0.1 + 0.2 == 0.3)

🟢 DAY 7 — Strings (Immutable, Powerful, Dangerous)

Internals

• String interning
• Unicode (UTF-8, UTF-16)
• Why slicing is O(n)

Interview Traps

s = "hello"
s += "world"   # what really happens?

🟢 DAY 8 — Lists (Dynamic Arrays Internals)

CPython Implementation

• Over-allocation strategy
• Why append is amortized O(1)
• Shallow vs deep copy

Interview

a = [[1]] * 3
a[0][0] = 100
print(a)

🟢 DAY 9 — Tuples (Why They Exist)

• Immutability benefits
• Hashability
• Tuple packing/unpacking

🟢 DAY 10 — Sets & Frozensets (Hash Tables)

Internals

• Hash functions
• Collision handling
• Why sets are unordered

Interview

print({1, True, 1.0})

🟢 DAY 11 — Dictionaries (Most Important Structure)

CPython Dict Internals

• Open addressing
• Hash table resizing
• Order preservation (Python 3.7+)

Interview

d = {True: "yes", 1: "no"}
print(d)

🟢 DAY 12 — Control Flow Deep Dive

• if/else internals
• for vs while
• break, continue, pass

Bytecode comparison: for vs while

🟢 DAY 13 — Functions Internals

Concepts

• Stack frames
• Local vs Global namespace
• LEGB rule

CPython

• PyFrameObject
• Call stack

🟢 DAY 14 — Arguments & Function Tricks

• Positional-only (/)
• Keyword-only (*)
• *args, **kwargs
• Default argument trap

Interview

def f(x=[]):
    x.append(1)
    return x

🟢 DAY 15 — Closures & Decorators (Brain Stretch)

Internals

• Free variables
• Cell objects
• Function wrapping

🟢 DAY 16 — Lambda & Functional Programming

• map, filter, reduce
• Why Python isn’t purely functional
• When lambdas hurt readability

🟢 DAY 17 — Modules, Imports & sys.path

Internals

• Import caching
• __name__ == "__main__"
• Circular imports

🟢 DAY 18 — OOPS Fundamentals (Python Style)

• Class vs Instance
• __init__
• Attribute lookup order

🟢 DAY 19 — OOPS Internals (VERY IMPORTANT)

CPython

• __dict__
• Method Resolution Order (MRO)
• type() metaclass

🟢 DAY 20 — Inheritance, Composition, Mixins

Interview

class A: pass
class B(A): pass
class C(B, A): pass   # MRO?

🟢 DAY 21 — Dunder Methods (Magic Methods)

• __new__ vs __init__
• Operator overloading
• Context managers

🟢 DAY 22 — Exceptions Internals

• Exception hierarchy
• try/except cost
• Custom exceptions

🟢 DAY 23 — Iterators & Generators

Internals

• __iter__, __next__
• Generator state machine

🟢 DAY 24 — Comprehensions & Lazy Evaluation

• List vs Generator comprehension
• Memory tradeoffs

🟢 DAY 25 — Files, I/O & OS Interaction

• File buffering
• Text vs Binary
• Context managers

🟢 DAY 26 — Concurrency Model

VERY IMPORTANT

• GIL explained properly
• threading vs multiprocessing
• asyncio internals

🟢 DAY 27 — Performance & Optimization

• Time complexity in Python
• Profiling
• __slots__
• C extensions overview

🟢 DAY 28 — Writing Pythonic Code

• Idioms
• Anti-patterns
• Clean code principles

🟢 DAY 29 — Python Interview Mastery

Tricky Questions (LOTS)

• is vs ==
• Mutable default arguments
• Late binding closures
• Object identity
• Edge-case outputs

🟢 DAY 30 — Python Internals Revision + Whiteboard Drill

• Explain Python execution on whiteboard
• Memory model drawing
• CPython architecture
• Real interview simulations

🎯 WHAT YOU’LL BE ABLE TO DO AFTER THIS

✅ Explain Python execution line by line
✅ Predict output of tricky code instantly
✅ Write memory-efficient Python
✅ Debug production issues faster
✅ Crack senior-level Python interviews