About Reprint Authorization This is a work from Big Data Digest. Individuals are welcome to share it in their social circles. Media and organizations must apply for authorization for reprints. Please leave a message in the background with “Organization Name + Article Title + Reprint”. Those who have already applied for authorization do not need … Read more
Introduction When learning the Python programming language, you often encounter a piece of code: if __name__ == '__main__'. Beginners may wonder what this code does and its significance, and why it is written this way. This article will provide a detailed analysis of this code and offer code examples to help beginners better understand this … Read more
This article is reprinted with permission from the WeChat public account “Big Data Digest | bigdatadigest” Compiled by: Aileen, Xu Lingxiao Using Python to draw famous mathematical images or animations, showcasing the charm of algorithms in mathematics. Mandelbrot Set Code: 46 lines (34 sloc) 1.01 KB ”’ A fast Mandelbrot set wallpaper renderer reddit discussion: … Read more
In modern web scraping, due to the complexity of anti-scraping mechanisms, many developers often encounter obstacles when scraping data. Common anti-scraping techniques include IP restrictions, CAPTCHAs, User-Agent recognition, and JS rendering. To effectively cope with these anti-scraping mechanisms, we need to adopt corresponding strategies. 1. Set a Reasonable User-Agent: Disguise as a Browser Some websites … Read more
For those who are new to Python, whether you are interested in web scraping or AI development, many say that the Python language is simple. Therefore, learning more is always beneficial. Below is a record of the installation of Python and a series of related tasks from the perspective of a complete beginner, including the … 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
Flow Factory: Real-Time Analysis of 195TB of Data Using PyJWT Last November, I took on a challenging project where the client required processing nearly 200TB of IoT sensor data with real-time analysis. At first, I thought: this task is quite daunting, and traditional solutions would definitely struggle. After two weeks of effort, the distributed flow … Read more
Project IntroductionProject Name: Batch Filter and Consolidate ‘Wallet’ Sales Records from Excel FilesLibraries Used:os, pandasProject Overview: This example is used to filter rows where the “Product Name” column is “Wallet” from all worksheets of Excel files in a specified folder and its subfolders, and consolidate this data into a new Excel file. Additionally, each qualifying … Read more
Essential for Python Development: A Comprehensive Analysis of PEP8 Code Standards to Make Your Code More Elegant! In Python development, the readability and consistency of code are crucial. PEP8 is the official style guide recommended by Python, which not only helps us write clearer code but also enhances team collaboration efficiency. Today, we will delve … Read more
Python Workflow Factory: Real-Time Analysis of 120TB Data with Qiskit Last November, I took on a daunting project—building a real-time analysis system capable of handling 120TB of transaction data for a financial institution. To be honest, when I heard that number, I almost spilled my coffee on my laptop.The traditional Python data processing solutions simply … Read more