Let me explain the title of this article. 1. Both Python and Go are excellent programming languages, each excelling in different areas. Python is more mature, has a wealth of libraries, and is suitable for scripting and data analysis, dominating the field of artificial intelligence. Go, being relatively young, is more vibrant and excels in … Read more
Tip: For a better reading experience, it is recommended to read on a PC! 1 What are Concurrency and Race Conditions In Linux systems, concurrency refers to the situation where multiple execution units (processes, threads, interrupts, etc.) access shared resources simultaneously or alternately, while a race condition refers to the uncertain behavior or errors caused … Read more
When building high-performance, highly concurrent Linux applications, understanding the underlying mechanisms of processes and threads is crucial. <span>fork()</span> and <span>clone()</span> are two core system calls that not only form the basis of process creation but also directly impact the implementation and performance of threads. This article will delve into the workings of <span>fork()</span> and <span>clone()</span> … Read more
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