Sign in Subscribe
9 min read python-threadpoolexecutor

Python ThreadPoolExecutor - Thread-Local Data

Sometimes you need "global" variables that are unique to each thread. threading.local() creates thread-specific storage, allowing workers to maintain their own isolated state (like database connections) without interference.
Python ThreadPoolExecutor - Thread-Local Data
Reader: Python GIL & Threading

Reader Mode

-- / --

Introduction

Published by:

WassupAI

You might also like...

17
Dec
Python ThreadPoolExecutor - ThreadPoolExecutor vs. asyncio

Python ThreadPoolExecutor - ThreadPoolExecutor vs. asyncio

Threads aren't the only way to handle I/O. We compare ThreadPoolExecutor to asyncio, clarifying when to use pre-emptive threading versus cooperative multitasking for modern apps.
8 min read
17
Dec
Python ThreadPoolExecutor - concurrent.futures vs. threading

Python ThreadPoolExecutor - concurrent.futures vs. threading

Why use concurrent.futures over the old threading module? We demonstrate the manual boilerplate required by the legacy approach and how the Executor interface abstracts away the messy details.
7 min read
17
Dec
Python ThreadPoolExecutor - ThreadPoolExecutor vs. ProcessPoolExecutor

Python ThreadPoolExecutor - ThreadPoolExecutor vs. ProcessPoolExecutor

ThreadPoolExecutor isn't for everything. We contrast it with ProcessPoolExecutor, showing why CPU-heavy tasks need processes to bypass the GIL, while threads remain the superior choice for network and file I/O.
8 min read
17
Dec
Python ThreadPoolExecutor - Synchronization Primitives

Python ThreadPoolExecutor - Synchronization Primitives

To protect critical sections, we use threading.Lock and RLock. These tools enforce mutual exclusion, acting like a traffic light that ensures only one thread can enter a protected block of code at a time.
8 min read
17
Dec
Python ThreadPoolExecutor - Critical Sections

Python ThreadPoolExecutor - Critical Sections

A critical section is a block of code that accesses a shared resource and must not be interrupted by other threads. We learn to identify these sensitive areas in your codebase where multiple threads overlapping would cause inconsistency.
7 min read

Member discussion