Predictions for Python Development Trends in 2025-2026: Web Renaissance, AI Dominance, and Performance First

According to the 2024 Python Developer Survey data, Web development is experiencing a resurgence, with 46% of developers using Python for Web development, marking a turnaround from the declining trend of the past three years. Meanwhile, the rapid development in AI and data science has led to an increasing application of Python in these fields. … Read more

Exploring C++20 Coroutines: How to Make Asynchronous Code as Simple as Synchronous Code with Just One Line?

Have you ever found yourself trapped in the “callback hell” of asynchronous programming? Have you lost the logic of your code in layers of nested lambdas? C++20 coroutines were born to rescue you from this predicament. 1. What Are We Talking About When We Talk About Asynchronous Programming? Consider a simple requirement: asynchronously read data … Read more

Drogon: An Introduction and Practice of the High-Performance C++ Web Framework

Drogon: An Introduction and Practice of the High-Performance C++ Web Framework Drogon is a high-performance HTTP web application framework written in C++14/17/20, designed to help developers easily build various types of web application server programs. It adopts an asynchronous non-blocking architecture, utilizing efficient event handling mechanisms such as epoll (Linux) and kqueue (macOS/FreeBSD), maintaining excellent … Read more

Python AsyncIO: A Guide to Learning and Usage

Word count: 2380, reading time approximately 12 minutes Python AsyncIO: A Guide to Learning and Usage The recommended way to declare coroutines for writing asyncio applications is through the async/await syntax. Mastering asyncio programming is essential for improving Python execution efficiency! Asynchronous I/O is a concurrent programming model, not parallel programming. asyncio asyncio is a … Read more

HTTPX: The Next-Generation HTTP Client for Python

HTTPX is a powerful HTTP client library for Python 3 that integrates a command-line client, supports HTTP/1.1 and HTTP/2, and provides both synchronous and asynchronous APIs. This article will detail the features, usage, and packaging process of HTTPX. 1. Core Features of HTTPX The design goal of HTTPX is to be a modern, fully-featured HTTP … Read more

HTTPX: A Modern HTTP Request Library for Python with Asynchronous Support

1. Introduction to the Library In today’s rapidly evolving internet applications, high-performance HTTP clients have become a core requirement for modern Python development. Traditional synchronous request libraries face performance bottlenecks when handling a large number of concurrent requests, while HTTPX, as a next-generation HTTP client in the Python ecosystem, perfectly addresses this challenge. HTTPX not … Read more

Multithreading and Twisted Framework in Python

Application of Multithreading in Multi-User Applications Multithreading is particularly suitable for multi-user applications as it can handle multiple client requests simultaneously without blocking the entire application. Multithreaded Server Example import threading import socket import time import logging from queue import Queue # Configure logging logging.basicConfig( level=logging.INFO, format='%(asctime)s – %(name)s – %(levelname)s – %(message)s' ) logger … Read more

How to Maximize Concurrency and Performance When Making HTTP Requests with HttpWebRequest in C#

How to Maximize Concurrency and Performance When Making HTTP Requests with HttpWebRequest in C#

Introduction When using<span><span>HttpWebRequest</span></span> to initiate HTTP requests in C#, you can improve concurrency and performance in the following ways: 1. ServicePointManager Settings <span><span>ServicePointManager</span></span> is a static class that provides properties and methods for managing HTTP connections. To enhance concurrent performance, you need to adjust the following key properties: DefaultConnectionLimit: By default, the .NET Framework’s<span><span>ServicePointManager</span></span> limits … Read more

Rust Practical Guide: Asynchronous Revolution, Cloud-Native Cases, and Performance Optimization Secrets

Rust Practical Guide: Asynchronous Revolution, Cloud-Native Cases, and Performance Optimization Secrets

Rust Practical Guide Asynchronous Revolution, Cloud-Native Cases, and Performance Optimization Secrets The Next Decade of System Programming Introduction: Rust 2025, the next decade of system programming. Microsoft data shows that 70% of security vulnerabilities stem from memory issues, while Rust achieves zero-cost safety guarantees through compile-time ownership checks. By 2025, the Rust compiler’s speed will … Read more

C++ Learning Manual – Multithreading and Concurrency 54 – Asynchronous Programming (std::future, std::async)

C++ Learning Manual - Multithreading and Concurrency 54 - Asynchronous Programming (std::future, std::async)

In the previous chapters, we learned how to explicitly create and manage threads using <span>std::thread</span>. This is a powerful and straightforward method, but it can sometimes feel cumbersome. Often, we just want to execute a task asynchronously and retrieve its result at some point in the future without manually handling the tedious details of thread … Read more