1. Why List Comprehensions are an Essential Tool for Python Developers? List comprehensions are the most elegant syntactic sugar in Python, allowing you to implement loops, conditional checks, and result generation in a single line of code. Compared to traditional methods: # Traditional method (requires 3 lines of code) result = [] for x in … 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
In real work, we often encounter situations where batch deletion is required, such as temporary files, files containing specific keywords, or documentation files. Today, I will share a small program for batch deletion of files containing specified keywords (but before deleting files, it is essential to understand: Deletion carries risks, and operations must be performed … Read more
Python is a very powerful and practical programming language that serves as an application tool across various industries. Below, we will briefly discussthe part-time jobs and side hustles that can be pursued with Python to increase your income.1. Web Scraping and Data CollectionCollectingimportant data for enterprises,and obtaining web content.For example, search engine crawlers can perform … Read more
In Python, good variable naming conventions can significantly enhance code readability, maintainability, and team collaboration efficiency. Here are strongly recommended and widely recognized variable naming conventions, along with practical suggestions based on English proficiency: 1. Core Principles Letters + Numbers + Underscores: Variable names can only contain a-z, A-Z, 0-9, and _, and cannot start … Read more
1. What is Quantitative Investment? Quantitative Investment refers to a trading method that issues buy and sell orders through quantitative means and computer programming, aiming to achieve excess returns or a specific risk-return ratio. It leverages modern statistics and mathematical methods, utilizing computer technology to find “high probability” strategies and patterns from vast historical data … Read more
In the field of Python development in 2025, numerous ultra-modern tools shine like brilliant stars, bringing unprecedented efficiency and convenience to developers. Code Checking and Optimization: Ruff Ruff is an ultra-fast Python code checker that significantly enhances code quality and development efficiency with its speed and ease of use. Developers can customize checking rules through … Read more
Essential Guide for Python Beginners: 5 Common Debugging Mistakes to Avoid! Introduction: As a Python developer, do you often find yourself overwhelmed by various error messages? This article will reveal the top 5 common pitfalls that beginners encounter, along with practical debugging techniques to help you quickly improve your code quality! At the end of … Read more
As a data analyst with eight years of experience in the field, Python has long been my “right-hand man” in my work. It is no exaggeration to say that my daily tasks almost always involve Python, from data cleaning to modeling decisions, it runs through the entire data analysis process. Recently, I have received many … Read more
Detailed Explanation of Python Dictionary Methods Dictionary Object Methods clear() Function: Clears all key-value pairs in the dictionary Example: # Example 1: Clear an existing dictionary d = {'a':1, 'b':2} d.clear() print(d) # {} # Example 2: Operation on an empty dictionary d = {} d.clear() print(d) # {} # Example 3: Clear and then … Read more