23. Performance & Memory Profiling (cProfile, timeit & tracemalloc) • Python 0-to-Hero Mastery (Big Tech SDE & ML Standard) • Rishabh Ki Kaksha

Python 0-to-Hero Mastery (Big Tech SDE & ML Standard) › 23. Performance & Memory Profiling (cProfile, timeit & tracemalloc)

50 mins

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Course Syllabus

Module 1: Python Foundations & Virtual Machine Architecture

01. What is Python? History, CPython Architecture & PVM 02. Memory Management, Reference Counting & The GIL 03. Datatypes Deep Dive: Mutable vs Immutable & Integer Interning Cache 04. Dynamic Typing, Duck Typing & Python 3.12 Strict Type Hinting

Module 2: Flow Control, Collections & Functional Mastery

05. Variables, Scope & The LEGB Rule (Local, Enclosing, Global, Built-in) 06. Comprehensions & The Walrus Operator (:=) for High Performance 07. First-Class Functions, *args, **kwargs & Functional Combinators 08. Advanced Closures, Function Decorators & @functools.wraps

Module 3: Generators, Iterators & Memory-Safe Stream Processing

09. The Iterator Protocol (__iter__, __next__) & Generator Functions 10. Generator Pipelines & Infinite Stream Processing with itertools 11. Context Managers: The "with" Statement & contextlib.contextmanager

Module 4: Object-Oriented Python, Dunder Magic & Metaprogramming

15. Python Descriptors (__get__, __set__) & @property Deep Dive 16. Metaclasses: How Classes are Created (__new__ vs __init__) 12. Classes, Instances, Class Attributes & @classmethod vs @staticmethod 13. Dunder / Magic Methods Masterclass (__repr__, __call__, __getitem__) 14. Multiple Inheritance, MRO & C3 Linearization Algorithm (super())

Module 5: Concurrency, Multithreading & Asynchronous Programming

17. Concurrency Overview: CPU-Bound vs I/O-Bound Bottlenecks 18. Multithreading & ThreadPoolExecutor for High-Throughput I/O 19. Multiprocessing & ProcessPoolExecutor for CPU-Intensive Workloads 20. asyncio Event Loop Masterclass: Coroutines, Tasks & asyncio.gather

Module 6: Production Engineering, Testing & Performance Profiling

21. File I/O, Serialization (JSON, Pickle) & Pathlib Architecture 22. Robust Exception Hierarchies (try/except/else/finally) 23. Performance & Memory Profiling (cProfile, timeit & tracemalloc) 24. Production Package Architecture: pyproject.toml & Virtual Envs

Interactive Lesson Studio

# 23. Performance & Memory Profiling (cProfile, timeit & tracemalloc)

> Python 0-to-Hero Notes by Rishabh - Topic 23

---

### 1. CPU Profiling with `cProfile` ⏱️

```bash
# Run deterministic CPU profiler and inspect function call counts:
python -m cProfile -s tottime app.py
```

*Key Metrics:*
*   `ncalls`: Number of times function was called.
*   `tottime`: Total time spent in the function itself (excluding sub-function calls).
*   `cumtime`: Cumulative time spent in this function and all sub-functions.

---

### 2. Memory Leak Profiling with `tracemalloc` 🧠

```python
import tracemalloc

tracemalloc.start()

# Code block to inspect:
large_data = [i ** 2 for i in range(1_000_000)]

snapshot = tracemalloc.take_snapshot()
top_stats = snapshot.statistics('lineno')

for stat in top_stats[:3]:
    print(stat) # Shows exact file line allocating the most RAM!
```

---

### 3. Interview Ke 3 Sawal Is Topic Se

1. **Deterministic Profiler (`cProfile`) vs Sampling Profiler (`py-spy` / `Austen`) me kya difference hai?** -> `cProfile` har function call intercept karta hai (~30% overhead); Sampling profiler process memory ko periodic intervals par inspect karta hai (< 1% overhead, safe for live production!).
2. **`time.perf_counter()` vs `time.time()` me benchmarking ke liye perf_counter kyu use karte hain?** -> `perf_counter` monotonic clock use karta hai jo system NTP time sync adjustments se affect nahi hota.
3. **`__slots__` attribute class instances ki memory 60% kaise reduce karta hai?** -> Dynamic `__dict__` dictionary allocation ko eliminate karke fixed-size C array struct me attributes store karta hai.

---
**Next Topic:** 24. Production Package Architecture: pyproject.toml & Virtual Envs

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1 Questions

Easy

1. Heap Memory Leak Tracer

`tracemalloc` ka use karke peak memory footprint measure karein.

💡 View Pro Interview Hint

• Use tracemalloc.get_traced_memory().

Python 3.12

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🎯 Big Tech Coding & Interview Challenges

1. Heap Memory Leak Tracer

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Rishabh Gehlot

PHP 8+ & Laravel 11 Master Track