0. Prerequisites 1. Common Data Types NOTICE 1.1 Numerical Operations NOTICE 1.2 Strings 1.3 Indexing and Slicing 1.4 Lists 1.5 Tuples 1.6 Dictionaries 1.7 Sets 2. Control Flow 2.1 if 2.2 while 2.3 for with range/zip/enumerate 3. Functions 4. Input and Output (Standard Input and Output) 5. File Operations 6. Packages 7. Classes 8. Exception … Read more
1. Brief Introduction This article will delve into the Python dependency management tool Poetry and provide a comprehensive comparison with the traditional pip. Dependency management is a critical aspect of Python project development, and a good dependency management tool can effectively resolve issues such as version conflicts, environment isolation, and project packaging and deployment. Whether … Read more
Complete Guide to Python Matplotlib: The Art of Visualization from Basic Plots to Advanced Techniques 1. Data Visualization: The “Visual Language” of Telling Stories with Charts An excellent chart is worth a thousand lines of data—Matplotlib, as the cornerstone of Python visualization, can transform dull numbers into intuitive insights. This article will guide you from … Read more
In Python, a list is a built-in data type used to store an ordered, mutable collection of elements. Lists are very flexible and can store any type of object, allowing for a mix of multiple data types, and the number of elements can be increased or decreased at any time. 1. Defining and Creating Lists … Read more
Ellipsoids Ellipsoid is a three-dimensional shape in geometry formed by rotating an ellipse around its major or minor axis. The shape of the Earth is not a perfect sphere but is closer to a flattened sphere, hence referred to as the “Earth ellipsoid.” Specifically, the Earth is slightly bulging at the equator and slightly flattened … Read more
In the Python programming language, a list is a very basic and important data structure. It allows us to store a sequence of ordered elements, which can be of any type, including numbers, strings, other lists, etc. Python’s lists provide a flexible way to organize and manipulate data. 1. Creating Lists Lists can be created … Read more
The first time I truly experienced the power of sets was while working on a user behavior analysis project for a social networking site. As I stared at the progress bar on the screen, my heart raced—I had to deduplicate 15 million user browsing records in real-time and detect abnormal behaviors. Using a list? The … Read more
1. Introduction: The Core Power of Dynamic Sequences The list, as the most flexible mutable sequence type in Python, is a core tool for handling dynamic data collections. Unlike tuples, lists support real-time modifications, dynamic expansions, and a rich set of built-in methods, making them the preferred structure for scenarios such as data collection, algorithm … Read more
Performance Revolution! Enhancing Python Key Algorithm Efficiency with C Extensions At three o’clock that morning, the CPU usage of the online server suddenly soared to 95%, and the alarm message woke me from my sleep. When I opened my laptop, I found that the data processing module I had restructured a few days ago was … Read more
📦 Beginner’s Guide to Packaging Python Programs: A Dual-Platform Guide for Windows/Linux 🌟 Why Package? ✅ Users do not need to install the Python environment ✅ Protect source code ✅ One-click installation/uninstallation is more convenient 🖥 Windows Platform: Packaging EXE Files Recommended Tool: PyInstaller (Five-Star Rated Tool) # One-click installation pip install pyinstaller 🚀 3 … Read more