18. Multithreading & ThreadPoolExecutor for High-Throughput I/O • Python 0-to-Hero Mastery (Big Tech SDE & ML Standard) • Rishabh Ki Kaksha

Python 0-to-Hero Mastery (Big Tech SDE & ML Standard) › 18. Multithreading & ThreadPoolExecutor for High-Throughput I/O

50 mins

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

# 18. Multithreading & ThreadPoolExecutor for High-Throughput I/O

> Python 0-to-Hero Notes by Rishabh - Topic 18

---

### 1. High-Throughput I/O with `concurrent.futures.ThreadPoolExecutor` 🧵

```python
from concurrent.futures import ThreadPoolExecutor, as_completed
import requests

urls = [f"https://api.github.com/users/user{i}" for i in range(20)]

def fetch_url(url: str) -> dict:
    resp = requests.get(url, timeout=5)
    return {"url": url, "status": resp.status_code}

# 10 Concurrent Worker Threads:
with ThreadPoolExecutor(max_workers=10) as executor:
    future_to_url = {executor.submit(fetch_url, url): url for url in urls}
    for future in as_completed(future_to_url):
        data = future.result()
        print(f"✅ Fetched: {data['url']} -> {data['status']}")
```

---

### 2. Thread Synchronization (`threading.Lock` & `RLock`)

Race conditions prevent karne ke liye shared state access ko lock karna:
```python
import threading

balance_lock = threading.Lock()
with balance_lock:
    shared_account_balance -= 100
```

---

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

1. **`Lock` vs `RLock` (Reentrant Lock) me kya difference hai?** -> `RLock` same thread ko multiple times lock acquire karne deta hai bina self-deadlock create kiye.
2. **Thread Pool thread starvation kaise prevent karta hai?** -> Fixed worker pool maintain karke hazaron incoming requests ke liye un-bounded OS threads spawn hone se rokkta hai.
3. **Daemon Threads kya hote hain?** -> Background worker threads jo main program exit hote hi automatically terminate ho jaate hain.

---
**Next Topic:** 19. Multiprocessing & ProcessPoolExecutor for CPU-Intensive Workloads

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1 Questions

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1. Concurrent API Downloader with ThreadPool

`ThreadPoolExecutor` ka use karke 5 URLs ko parallel download simulate karein.

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• Use ThreadPoolExecutor context manager.

Python 3.12

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🎯 Big Tech Coding & Interview Challenges

1. Concurrent API Downloader with ThreadPool

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Rishabh Gehlot

PHP 8+ & Laravel 11 Master Track