Potential Issues in Embedded Development 1 Concurrency Issues The efficiency of concurrent program execution is low when writing bare-metal software. Inevitably, there will be a massive while(1) loop in the main program, which contains almost all the business logic of the project. Since each business logic contains delay functions that cause loop waiting, this leads … Read more
In the foundational knowledge of Python, there are some concepts and features that may be relatively difficult to understand. Below are some common and challenging topics, each accompanied by examples to help explain. 1. Object-Oriented Programming (OOP) Object-oriented programming is a programming paradigm that organizes code into reusable objects, achieved by defining classes, creating objects, … Read more
Introduction: Still troubled by Python’s GIL limitations? This article will guide you through breaking performance bottlenecks using underlying principles + practical solutions, achieving a high-performance architecture evolution from single-machine to distributed! A Python full-stack development gift package is included at the end, claim it now >> 1. Analysis of Underlying Principles for Performance Optimization 1️⃣ … Read more
1. Concurrency Models: Python’s “Three Pillars” Python provides three core concurrency models, each with its own strengths: • Multithreading: Suitable for I/O-bound tasks • Multiprocessing: Suitable for CPU-bound tasks • Asynchronous IO: The king of high concurrency Performance Comparison: Model Switching Overhead Memory Usage Applicable Scenarios Multithreading Low Low File I/O/Network Requests Multiprocessing High High … Read more
Click the blue text to follow us Hello everyone, I am Cai Ge. Today we will talk about concurrency in Python, especially the use of <span>ThreadPoolExecutor</span>. Concurrency is a very important topic, especially when handling multiple tasks such as network requests and file operations. Through concurrency, we can improve the execution efficiency of programs and … Read more
Multithreaded Programming in C: Using the pthread Library In modern software development, multithreaded programming is an important method for handling concurrent tasks. Although C is a low-level language, it provides powerful tools for implementing multithreading, the most commonly used being the <span>pthread</span> (POSIX Threads) library. This article will detail how to use the <span>pthread</span> library … Read more
Click the blue text to follow us The workqueue is an important asynchronous execution mechanism in the Linux kernel, widely used in driver development, post-interrupt processing, and delayed processing scenarios. This article will systematically analyze this mechanism in terms of its usage, scheduling principles, and performance characteristics. 01 Introduction to Workqueues In kernel development, certain … Read more
▼ Click the card below to follow me ▲ Click the card above to follow me Httpx: The Magic Wand for Asynchronous HTTP Requests in Python! HTTP requests are a routine operation in network programming, but traditional synchronous requests always feel a bit sluggish. Today, we are going to talk about a tool that can … Read more
▼ Click the card below to follow me ▲ Click the card above to follow me Aiohttp: The Magic Wand for Asynchronous HTTP Requests! In the world of Python, there are many libraries for handling HTTP requests, but today I want to introduce you to a truly amazing asynchronous tool – Aiohttp. This library allows … Read more
Click👆：Linux Tech Enthusiast，follow me!!! OHA is a lightweight and high-performance HTTP load testing tool developed in Rust, featuring a simple terminal user interface (TUI) and rich functionality. 1. Core Features 1.High Performance and Asynchronous Support OHA is developed based on Rust’s asynchronous runtime library <span>tokio</span>, utilizing multithreading and an event-driven model to achieve high concurrency … Read more