▼ Click the card below to follow me ▲ Click the card above to follow me Httpx: A Cool New Way to Make HTTP Requests in Python! HTTP requests have always been a common requirement in Python development, and the traditional requests library has been with us for a long time. But today, I want … Read more
Embedded system development has always faced numerous challenges: high code complexity, strict real-time requirements, limited resources, and debugging difficulties. The Rust language, with its features of memory safety, concurrency safety, and high performance, brings new hope for embedded development. Embassy is a next-generation embedded application framework built on the Rust language, aimed at simplifying the … Read more
▼ Click the card below to follow me ▲ Click the card above to follow me Httpx, an asynchronous HTTP client, is a powerful tool for Python! When it comes to making network requests, it truly excels. Think about it, previously when you used the requests library, you had to wait for one request to … Read more
1. Why is Concurrency Programming the Key to Breaking Python’s Performance Bottleneck? In the 2025 Python Developer Survey, 82% of performance optimization cases involved concurrency programming. Faced with I/O-intensive tasks (such as network requests and file operations) and CPU-intensive tasks (such as image processing and data analysis), the combination of asynchronous/multiprocessing/multithreading can bring astonishing performance … Read more
Analyzing Matrices with Python: Achieving 509 Times Data Processing Throughput with Requests Last year, I did something amusing; I ran a single-threaded crawler for an entire day just to scrape data from a small e-commerce website. My boss saw the progress bar on my desktop and laughed, “At this rate, you’ll be delivering the report … Read more
This article is based on a thorough review of relevant authoritative literature and materials, forming professional and reliable content. All data in the article is verifiable and traceable. Special statement: The data and materials have been authorized. The content of this article does not involve any biased views and objectively describes the facts with a … Read more
1. Essential Differences Between Synchronous and Asynchronous (Comparative Understanding) 1.1 Waiter Model Synchronous Mode: The waiter serves only one table of guests at a time (thread blocking) Asynchronous Mode: The waiter serves other guests while waiting for dishes to be served (event loop) # Synchronous request example import requests resp = requests.get('http://example.com') # Blocks until … Read more
AliMei Guide: As a very practical language in daily development and production, it is necessary to master some Python usages, such as web scraping, network requests, etc. However, Python is single-threaded, and how to improve Python’s processing speed is a very important issue. A key technology to address this issue is called coroutines. This article … Read more
20 Core Principles of Python: A Comprehensive Introduction to the Underlying World At three o’clock in the morning, I was troubleshooting a memory leak issue when I suddenly realized that the newcomers in the team had no understanding of Python’s garbage collection mechanism. I remember when Guido introduced reference counting in 2000, many were still … Read more
▼ Click the card below to follow me ▲ Click the card above to follow me High-Performance HTTP Client with asyncio and aiohttp: Implementing Asynchronous Requests Recently, I’ve been enjoying asynchronous programming, and today I want to share something interesting – using asyncio and aiohttp to implement asynchronous HTTP requests. In simple terms, it allows … Read more