Requests is a simple and elegant Python library for sending HTTP requests. It provides a user-friendly API for handling HTTP requests, allowing developers to easily interact with web services. This article will introduce how to use the Requests library for HTTP request operations, including installation, basic usage, handling responses, error handling, and some advanced usage. … Read more
Recently, while tinkering with Python web programming, I discovered a particularly useful HTTP request library – HTTPx. To be honest, I was a bit resistant at first since I was used to requests, but after trying it out, I found it to be fantastic! Not only does it support synchronous requests, but it can also … Read more
# A Step-by-Step Guide to Mastering aiohttp: Making Python Faster than a Rabbit Today, we are tackling the tough nut that is **aiohttp**—an asynchronous library that allows Python to handle HTTP requests at lightning speed. Don’t be intimidated by the term "asynchronous"; it simply means enabling the program to "multi-task", akin to chopping vegetables while … Read more
Source: Programmer’s Life (ID: coder_life) Hello everyone, I am Tiger. According to the “2021-2022 China Developer Survey Report”, the historically significant assembly language is the most disliked programming language among programmers (37%), followed by C++ (17%) and C (16%). As a machine-oriented programming language, assembly language is indeed very precise, but it is not very … Read more
Set Script Home as “Starred⭐“ to receive article updates firstSource: Programmer Fisher (ID: haxgly666) Today’s sharing theme is that with the rapid development of web technologies, development has become increasingly complex, requiring more time and effort. Today, we introduce a next-generation web framework written in Rust. Web project development is becoming more complex, presenting many … Read more
Hello everyone! I am your old friend from Python, and today I want to introduce you to a super useful tool—Redis-py, which can make your Python programs fly! In simple terms, Redis is like a super fast database, and Redis-py is the key that allows your Python programs to easily use Redis, just like grabbing … Read more
It was a hot Friday afternoon, and the air conditioning in the trading room was buzzing. As I attempted to manually calculate the Bollinger Bands using Pandas, the screen suddenly blue-screened—this was the sixth time the Jupyter kernel crashed due to numpy array out-of-bounds errors. Old Zhang, the quant in the adjacent cubicle, leaned over … Read more
You must have encountered this situation: you wrote a piece of code but don’t know how fast it runs? Or you optimized for a long time but can’t provide exact data to prove your optimization is effective. Don’t worry, Python has a super handy tool – <span>time.perf_counter()</span>, which can help you measure code execution time … Read more
1 Understanding the Basics of Python Functions and Parameters 1.1 Basic Structure of Function Definition In Python, functions are the core tool for code reuse. A function can be defined using the <span>def</span> keyword. For example, here is a simple example: def greet(name): # Define a function that takes one parameter name print(f"Hello, {name}!") # … Read more
1. Introduction to the Library: The Role of Dash in Real Life Dash is one of the most powerful interactive web application frameworks in the Python ecosystem, developed by the Plotly team, specifically designed for data analysts and scientists to build data visualization dashboards. Unlike traditional web development that requires knowledge of HTML, CSS, and … Read more