Tagged articles

5000 articles

Page 22 of 50

Apr 18, 2024 · Artificial Intelligence

Implementing an Automatic Math Expression Grading System with Python and Convolutional Neural Networks

This tutorial walks through building a self‑trained OCR pipeline that generates synthetic digit images, trains a CNN model, segments handwritten math expressions, predicts each character, evaluates the arithmetic result, and overlays checkmarks, crosses or answers onto the original image.

CNNOCRPython

0 likes · 28 min read

Implementing an Automatic Math Expression Grading System with Python and Convolutional Neural Networks

JD Tech

Apr 18, 2024 · Artificial Intelligence

Getting Started with LangChain: Overview, Core Components, and Python Code Samples

This article introduces the LangChain framework for large language model integration, explains its key components and advantages, and provides step‑by‑step Python examples for setting up environment variables, creating prompts, chaining models, and using embeddings, completions, and chat models.

ChatModelEmbeddingLLM

0 likes · 7 min read

Getting Started with LangChain: Overview, Core Components, and Python Code Samples

Python Crawling & Data Mining

Apr 18, 2024 · Backend Development

How to Scrape GDP Data with Python and Save to CSV in Minutes

This article demonstrates how to use Python's requests, lxml, and pandas libraries to crawl GDP data from a website, parse the HTML tables, and efficiently write the extracted rankings, regions, GDP values, and years into a CSV file, providing a complete, runnable example for web scraping beginners.

CSVPythonWeb Scraping

0 likes · 8 min read

How to Scrape GDP Data with Python and Save to CSV in Minutes

Rare Earth Juejin Tech Community

Apr 18, 2024 · Artificial Intelligence

Step-by-Step Guide to Creating Custom Coze Plugins for AI Bots

This article provides a comprehensive tutorial on building, configuring, testing, publishing, and listing custom Coze plugins for AI bots, covering both creation from existing services and direct development in Coze IDE with code examples and practical tips.

AI botAPI integrationCoze

0 likes · 22 min read

Step-by-Step Guide to Creating Custom Coze Plugins for AI Bots

CSS Magic

Apr 18, 2024 · Artificial Intelligence

Get Started with Kimi API Instantly—No Coding Experience Required

This step‑by‑step guide shows how to claim your free Kimi API credit, create an API key, test the service with Postman, and integrate it via Python SDK, frontend projects, or no‑code tools like Dify, enabling anyone to build AI applications without writing code.

AIChat CompletionFrontend

0 likes · 10 min read

Get Started with Kimi API Instantly—No Coding Experience Required

Alibaba Cloud Big Data AI Platform

Apr 18, 2024 · Databases

Build a Serverless AI Vector Search with Alibaba Cloud Milvus and DashScope

This tutorial walks you through creating a serverless Milvus vector search service on Alibaba Cloud, preparing a news corpus, generating embeddings with DashScope, storing them in Milvus, and performing vector‑based retrieval and question answering using a large language model.

AI embeddingsDashScopeKnowledge QA

0 likes · 11 min read

Build a Serverless AI Vector Search with Alibaba Cloud Milvus and DashScope

Sohu Tech Products

Apr 17, 2024 · Artificial Intelligence

Introduction to agere: A Lightweight, Fully Customizable Agent Framework

agere is a lightweight, dependency‑free Python framework that lets developers build fully customizable agents by defining reusable Job and handler task nodes in an edge‑node model, supporting parallel execution, fine‑grained callbacks, direct parameter passing, and hierarchical orchestration through a root Commander node.

AIAgent FrameworkPython

0 likes · 10 min read

Introduction to agere: A Lightweight, Fully Customizable Agent Framework

Python Programming Learning Circle

Apr 17, 2024 · Big Data

Comparative Analysis of Starbucks and Luckin Coffee Store Distribution in China Using Python Data Visualization

Using Python data visualization and geospatial analysis, this article compares the nationwide distribution of Starbucks and Luckin Coffee stores in China, revealing differences in regional concentration, proximity patterns, and statistical insights such as average Luckin stores within 500 m of each Starbucks location.

Big DataPythonStore Distribution

0 likes · 11 min read

Comparative Analysis of Starbucks and Luckin Coffee Store Distribution in China Using Python Data Visualization

IT Services Circle

Apr 17, 2024 · Fundamentals

All Paths From Source to Target (LeetCode 797) – Problem Description, Analysis, and Multi‑Language Solutions

This article presents LeetCode problem 797, which asks for all possible paths from node 0 to node n‑1 in a directed acyclic graph, explains the DFS approach, lists constraints and examples, and provides complete implementations in Java, C++, C, and Python.

C++DFSJava

0 likes · 8 min read

All Paths From Source to Target (LeetCode 797) – Problem Description, Analysis, and Multi‑Language Solutions

Rare Earth Juejin Tech Community

Apr 17, 2024 · Backend Development

Getting Started with CozeIDE: Build and Deploy Plugins in 10 Minutes

This guide introduces CozeIDE, explains its main features such as code editing, dependency management, AI programming assistant, testing and publishing, and walks you through two complete plugin development examples—including a stock‑price lookup plugin—showing how to create, test, and release plugins using Node.js or Python runtimes.

AI AssistantCozeIDENode.js

0 likes · 12 min read

Getting Started with CozeIDE: Build and Deploy Plugins in 10 Minutes

21CTO

Apr 16, 2024 · Artificial Intelligence

Why Go Developers Are Turning to AI Despite Python Dominance

A 2024 survey of Go developers reveals strong interest in building AI applications but frustration over Python's dominant ecosystem, highlighting performance priorities, tooling gaps, and a desire for Go libraries comparable to Python's, while also showing cloud platform preferences and IDE usage trends.

Artificial IntelligenceGoPython

0 likes · 5 min read

Why Go Developers Are Turning to AI Despite Python Dominance

Didi Tech

Apr 16, 2024 · Artificial Intelligence

Optimizing DSP Deep Model Latency by Externalizing Feature Processing with EzFeaFly

By externalizing feature processing with the EzFeaFly tool and feeding a dense index/value tensor directly to the GPU, the DSP platform decouples feature transformation from model inference, cutting instance usage by ~40%, reducing inference latency 70‑80%, and achieving over 60% end‑to‑end latency improvement while lowering costs.

DSPGPU AccelerationPython

0 likes · 11 min read

Optimizing DSP Deep Model Latency by Externalizing Feature Processing with EzFeaFly

Python Programming Learning Circle

Apr 16, 2024 · Fundamentals

Using Python to Process Excel, Word, and CSV Files

This tutorial demonstrates how to install and use Python libraries such as xlrd, xlwt, xlutils, XlsxWriter, OpenPyXL, python-docx, and the csv module to read, write, modify, and format Excel, Word, and CSV files, including code examples and feature comparisons.

CSVDataProcessingExcel

0 likes · 31 min read

Using Python to Process Excel, Word, and CSV Files

NewBeeNLP

Apr 16, 2024 · Artificial Intelligence

Demystifying the Transformer: Step‑by‑Step PaddlePaddle Implementation

This article provides a comprehensive, code‑rich walkthrough of the Transformer architecture using PaddlePaddle, covering the encoder and decoder components, residual connections, layer normalization, feed‑forward networks, scaled dot‑product and multi‑head attention, and shows how to assemble the full model with training and inference functions.

Deep LearningEncoderPaddlePaddle

0 likes · 17 min read

Demystifying the Transformer: Step‑by‑Step PaddlePaddle Implementation

Test Development Learning Exchange

Apr 16, 2024 · Artificial Intelligence

Fuzzy String Matching in Python with difflib, fuzzywuzzy, and TheFuzz

This article demonstrates how to perform fuzzy string matching in Python using three libraries—difflib, fuzzywuzzy (with python-Levenshtein), and TheFuzz—by defining matching functions, installing required packages, and providing example code that finds the best match for a given pattern among a list of candidate strings.

PythonTheFuzzdifflib

0 likes · 3 min read

Fuzzy String Matching in Python with difflib, fuzzywuzzy, and TheFuzz

dbaplus Community

Apr 15, 2024 · Operations

How Docker Init Automates Dockerfile Creation for Your Projects

This article explains how Docker's new CLI tool docker init uses generative AI to automatically generate Dockerfiles, docker‑compose files, and .dockerignore for a project, walking through a Flask example, showing commands, generated code, and the benefits of faster, safer container setup.

ContainerizationDevOpsFlask

0 likes · 7 min read

How Docker Init Automates Dockerfile Creation for Your Projects

Python Programming Learning Circle

Apr 15, 2024 · Fundamentals

20 Python One‑Liner Tricks for Concise and Readable Code

This article showcases twenty practical Python one‑liner examples that demonstrate how to write loops, conditionals, data‑structure operations, functions, recursion, file handling, and other common tasks in a single, compact line of code, complete with explanations and ready‑to‑run snippets.

One-linerPythonTips

0 likes · 13 min read

20 Python One‑Liner Tricks for Concise and Readable Code

Test Development Learning Exchange

Apr 15, 2024 · Fundamentals

Python Basics: Variables, Data Types, Control Flow, Functions, and More

This guide introduces Python fundamentals, covering variable declaration, common data types, conditional statements, loops, functions, list comprehensions, exception handling, classes, generators, decorators, and module imports, each illustrated with clear code examples for beginners.

Control FlowFunctionsPython

0 likes · 5 min read

Python Basics: Variables, Data Types, Control Flow, Functions, and More

Model Perspective

Apr 15, 2024 · Fundamentals

Unlocking Model Insights: A Practical Guide to Sobol Sensitivity Analysis

This article introduces the concept and various methods of sensitivity analysis—including one‑factor, multi‑factor, variance‑based, and Monte Carlo approaches—explains Sobol indices, outlines step‑by‑step procedures, and demonstrates their application with a Python case study on urban air‑quality modeling.

Air QualityEnvironmental ModelingMonte Carlo

0 likes · 10 min read

Unlocking Model Insights: A Practical Guide to Sobol Sensitivity Analysis

Test Development Learning Exchange

Apr 14, 2024 · Fundamentals

10 Practical Python Examples for JSON Handling and the Requests Module

This article presents ten practical Python examples demonstrating how to create and parse JSON data, perform GET and POST requests, handle parameters, timeouts, cookies, custom headers, file downloads, authentication, and retry mechanisms using the Requests library, enhancing web development and API integration skills.

APIHTTPPython

0 likes · 5 min read

10 Practical Python Examples for JSON Handling and the Requests Module

Test Development Learning Exchange

Apr 14, 2024 · Backend Development

Using APScheduler for Automated Tasks in WeChat Subscription Accounts

This article demonstrates how to use Python's APScheduler to automate various WeChat subscription account tasks—such as publishing articles, sending group messages, analyzing data, clearing caches, and updating menus—through detailed code examples and scheduling configurations.

APSchedulerBackend DevelopmentPython

0 likes · 5 min read

Using APScheduler for Automated Tasks in WeChat Subscription Accounts

Test Development Learning Exchange

Apr 13, 2024 · Fundamentals

Python Operators and Data Types: A Practical Guide with Code Examples

An introductory guide to Python's arithmetic, relational, logical, assignment operators and core data types, illustrated with over fifteen practical code snippets to reinforce understanding and application for beginners seeking to solidify foundational programming skills.

Programming BasicsPythonoperators

0 likes · 5 min read

Python Operators and Data Types: A Practical Guide with Code Examples

Python Programming Learning Circle

Apr 13, 2024 · Fundamentals

Data Visualization and Exploratory Graphs with Pandas in Python

This article introduces data visualization concepts and demonstrates how to create line charts, scatter plots, histograms, pie charts, and box plots using Pandas, while applying these techniques to real-world datasets such as the 2013 American Community Survey and the Boston Housing dataset.

Data visualizationPythonexploratory analysis

0 likes · 6 min read

Data Visualization and Exploratory Graphs with Pandas in Python

Ops Development & AI Practice

Apr 12, 2024 · Fundamentals

Boost Python Code Quality with Type Hints: A Practical Guide

This article explains Python type hints, covering their syntax, benefits for readability and debugging, advanced usage with the typing module, and practical code examples that help developers write more robust and maintainable Python applications.

Pythoncode readabilitymypy

0 likes · 5 min read

Boost Python Code Quality with Type Hints: A Practical Guide

Go Development Architecture Practice

Apr 12, 2024 · Fundamentals

Why Python Rises and C/C++ Decline: Insights from the April TIOBE Index

The April TIOBE Index shows Python gaining market share while C and C++ lose ground due to memory‑safety concerns, PHP slipping to historic lows, and a broader shift in developer preferences driven by AI, web frameworks, and security considerations.

C++C++Memory Safety

0 likes · 7 min read

Why Python Rises and C/C++ Decline: Insights from the April TIOBE Index

Python Programming Learning Circle

Apr 12, 2024 · Fundamentals

Practical Python Scripts for Automation, Web Scraping, and Text Processing

This article presents a collection of useful Python scripts—including file sorting, empty‑folder removal, batch renaming, web‑scraping, bulk image downloading, form automation, and various text‑processing utilities—each accompanied by clear explanations and ready‑to‑run code examples.

Data ExtractionPythonScripting

0 likes · 8 min read

Practical Python Scripts for Automation, Web Scraping, and Text Processing

Test Development Learning Exchange

Apr 12, 2024 · Operations

Python Data Backup Scripts and Tools Overview

This article introduces various Python-based data backup techniques, covering standard library modules such as shutil, zipfile, and tarfile, as well as database dump tools like pg_dump and mysqldump, and cloud storage options using awscli or boto3, with example code snippets for each method.

DatabaseOperationsPython

0 likes · 4 min read

Python Data Backup Scripts and Tools Overview

Test Development Learning Exchange

Apr 11, 2024 · Operations

From Manual to Automated: A Proven Roadmap to Become a Test Automation Engineer

The article shares a tester’s personal journey from functional testing to automation, explains why programming skills are essential, and provides a detailed, step‑by‑step learning roadmap covering Python, Selenium, Appium, API testing, CI/CD and framework development to help newcomers advance their careers.

PythonSeleniumcareer development

0 likes · 8 min read

From Manual to Automated: A Proven Roadmap to Become a Test Automation Engineer

Test Development Learning Exchange

Apr 11, 2024 · Fundamentals

Allure-Python: Generating Rich Test Reports for Python Testing Frameworks

Allure-Python is a reporting tool for Python test frameworks such as unittest, pytest, and nose, providing customizable, interactive HTML reports with support for decorators, steps, attachments, environment data, and advanced features to enhance test visibility and analysis.

AllurePythonReport

0 likes · 7 min read

Allure-Python: Generating Rich Test Reports for Python Testing Frameworks

Alibaba Cloud Developer

Apr 11, 2024 · Fundamentals

Master LeetCode Algorithms: Essential Python Templates for Interviews

This article compiles a comprehensive set of Python algorithm templates—including syntax shortcuts, knapsack solutions, backtracking, union‑find, topological sorting, monotonic stacks, binary search, dynamic programming, prefix sums, two‑pointer techniques, tree traversals, and graph algorithms—providing clear code snippets and explanations to help developers ace LeetCode interview problems.

AlgorithmsBacktrackingData Structures

0 likes · 30 min read

Master LeetCode Algorithms: Essential Python Templates for Interviews

AI Large Model Application Practice

Apr 10, 2024 · Artificial Intelligence

What Is Self‑RAG? A Simple Guide to Self‑Reflective Retrieval‑Augmented Generation

This article explains the motivation behind Self‑RAG, describes its core workflow—including conditional retrieval, enhanced generation, and self‑evaluation tokens—details the four evaluation metrics (Retrieve, IsRel, IsSup, IsUse), and provides a Python scoring example using log‑probabilities.

LLMLogprobsPython

0 likes · 13 min read

What Is Self‑RAG? A Simple Guide to Self‑Reflective Retrieval‑Augmented Generation

Python Crawling & Data Mining

Apr 10, 2024 · Backend Development

Fetching JS-Rendered Pages in Python with DrissionPage, Playwright, Selenium

This article explains how to overcome JavaScript-rendered web pages when scraping with Python, comparing tools like Selenium, Playwright, and the DrissionPage library, and provides a concrete code example that fetches and prints page HTML, along with practical tips for handling JSON data sources.

JS RenderingPlaywrightPython

0 likes · 5 min read

Fetching JS-Rendered Pages in Python with DrissionPage, Playwright, Selenium

Alibaba Cloud Developer

Apr 10, 2024 · Artificial Intelligence

Master LangChain in 10 Minutes: From Basics to Advanced AI Engineering

This guide walks AI engineers through a rapid 10‑minute boot‑strap of LangChain, explaining its purpose, core concepts, design questions, environment setup, and step‑by‑step code examples that cover APIs, chains, memory, retrieval‑augmented generation, tools, agents, and the overall architecture.

AI EngineeringLLMLangChain

0 likes · 28 min read

Master LangChain in 10 Minutes: From Basics to Advanced AI Engineering

Python Programming Learning Circle

Apr 9, 2024 · Fundamentals

Comprehensive Python Basics: Numbers, Strings, Functions, Data Structures, Classes, and Tools

This article provides a thorough overview of essential Python concepts, covering numeric operations, string manipulation, function definitions, data structures, class and object usage, as well as useful built‑in tools and utilities, illustrated with clear code examples for each topic.

Data StructuresFunctionsPython

0 likes · 21 min read

Comprehensive Python Basics: Numbers, Strings, Functions, Data Structures, Classes, and Tools

Python Programming Learning Circle

Apr 8, 2024 · Game Development

Step‑by‑Step Guide to Building a Tetris Game Using Python Tkinter

This tutorial walks through creating a Tetris game in Python using the built‑in Tkinter library, covering window setup, drawing the board, implementing block movement, rotation, line clearing, scoring, and full source code with explanations.

GUIGame DevelopmentPython

0 likes · 26 min read

Step‑by‑Step Guide to Building a Tetris Game Using Python Tkinter

Python Programming Learning Circle

Apr 8, 2024 · Fundamentals

Common Python One‑Line Code Snippets and Tricks

This article presents a collection of concise Python one‑line code snippets—including ternary operators, multiple variable assignments, list swapping, list comprehensions, dictionary and set comprehensions, file handling, and command‑line one‑liners—demonstrating how to write more compact and readable code.

Pythonlist-comprehensionternary operator

0 likes · 9 min read

Common Python One‑Line Code Snippets and Tricks

Python Programming Learning Circle

Apr 7, 2024 · Fundamentals

Python Fundamentals: Problem Solving, Strings, Lists, Functions, OOP, and PEP Guidelines

This article introduces Python fundamentals by explaining problem‑solving techniques such as the XY problem, demonstrating string and list operations, showing how to write functions and classes, and emphasizing the importance of following PEP‑8 style conventions for clean code.

FunctionsListsOOP

0 likes · 12 min read

Python Fundamentals: Problem Solving, Strings, Lists, Functions, OOP, and PEP Guidelines

Python Crawling & Data Mining

Apr 7, 2024 · Fundamentals

What Do self.name, self.x, and self.num Mean in Python Classes?

This article explains why Python code uses self.name = name, how attributes like self.x and self.y can be accessed without explicit parameters, and what self.num = x does, providing clear examples and a concise summary for beginners.

OOPPythonbasics

0 likes · 4 min read

What Do self.name, self.x, and self.num Mean in Python Classes?

Test Development Learning Exchange

Apr 6, 2024 · Frontend Development

UI Automation Testing for Different Screen Resolutions with Python

This article explains how to perform UI automation testing across various computer screen resolutions using Python, covering compatible frameworks like Selenium and Appium, writing resolution‑agnostic scripts, creating resolution matrices, dynamic resizing, visual verification, and integrating tests into CI pipelines.

AppiumPythonSelenium

0 likes · 6 min read

UI Automation Testing for Different Screen Resolutions with Python

Test Development Learning Exchange

Apr 5, 2024 · Fundamentals

Introduction to Python Turtle: Concepts, Use Cases, and Sample Code

This article introduces Python's Turtle graphics library, explains its educational and creative use cases, and provides five detailed code examples—including drawing a square, a colorful spiral, a flower, a heart, and a Fibonacci spiral—to help beginners learn programming concepts through visual output.

GraphicsPythoneducation

0 likes · 7 min read

Introduction to Python Turtle: Concepts, Use Cases, and Sample Code

Rare Earth Juejin Tech Community

Apr 5, 2024 · Artificial Intelligence

Linear Regression Algorithm: Definition, Structure, Implementation, Cost Function, Gradient Descent, and Regularization

This article provides a comprehensive overview of linear regression, covering its definition, purpose, algorithmic steps, data preparation, feature scaling, parameter initialization, cost function computation, gradient descent optimization, visualization, normal equation solution, and regularization, accompanied by detailed Python code examples.

NumPyPythoncost function

0 likes · 19 min read

Linear Regression Algorithm: Definition, Structure, Implementation, Cost Function, Gradient Descent, and Regularization

21CTO

Apr 4, 2024 · Fundamentals

Boost Your Daily Productivity with Simple Python Automation Scripts

This article shows Python enthusiasts how a few lines of code can automate everyday tasks—from email handling and web scraping to file management and data processing—helping you work smarter, save time, and focus on higher‑level problems.

PythonScriptingautomation

0 likes · 10 min read

Boost Your Daily Productivity with Simple Python Automation Scripts

Python Programming Learning Circle

Apr 3, 2024 · Fundamentals

Accelerating Python Code with Taichi: Up to 100× Speed Boosts

This article introduces Taichi, a Python‑embedded DSL that compiles kernel functions for CPU and GPU execution, and demonstrates through three practical examples how importing the library and adding decorators can accelerate Python code by up to a hundredfold, with detailed performance numbers and installation instructions.

DSLGPUPython

0 likes · 7 min read

Accelerating Python Code with Taichi: Up to 100× Speed Boosts

Test Development Learning Exchange

Apr 2, 2024 · Backend Development

Building a Python-Based ChatGPT Chat Interface

This article provides a comprehensive guide on creating a Python-based ChatGPT chat interface using Flask, covering web application setup, HTML interface creation, backend logic implementation, and frontend JavaScript enhancement.

API integrationBackend DevelopmentChatGPT

0 likes · 5 min read

Building a Python-Based ChatGPT Chat Interface

Python Programming Learning Circle

Apr 2, 2024 · Artificial Intelligence

Overview of Common Python Libraries for Artificial Intelligence and Data Science with Code Examples

This article provides a comprehensive introduction to popular Python libraries for artificial intelligence, computer vision, data analysis, and machine learning—such as NumPy, OpenCV, scikit‑image, Pillow, TensorFlow, PyTorch, and many others—accompanied by concise code snippets and performance comparisons to help beginners select suitable tools.

AI librariesCode ExamplesPython

0 likes · 33 min read

Overview of Common Python Libraries for Artificial Intelligence and Data Science with Code Examples

Python Programming Learning Circle

Apr 2, 2024 · Operations

17 Practical Python Scripts for Automating Common Tasks

This article presents a collection of 17 practical Python scripts that automate tasks such as file management, web scraping, email handling, Excel processing, database interaction, system administration, image editing, and more, providing code examples and explanations to help developers and analysts improve productivity through automation.

DataProcessingPythonScripting

0 likes · 27 min read

17 Practical Python Scripts for Automating Common Tasks

Python Crawling & Data Mining

Apr 2, 2024 · Fundamentals

Master Python’s init: How Constructors Initialize Your Objects

This article explains the role of Python's __init__ constructor in object‑oriented programming, demonstrates how it initializes object attributes with example code, and shows how other methods can access those initialized values.

ClassConstructorOOP

0 likes · 5 min read

Master Python’s __init__: How Constructors Initialize Your Objects

Python Programming Learning Circle

Apr 1, 2024 · Fundamentals

Introduction to Python Text‑Based UI Frameworks: Curses, npyscreen, and Urwid

This article introduces three popular Python text‑based UI frameworks—Curses, npyscreen, and Urwid—explaining their features, installation steps, and providing runnable code examples that demonstrate creating windows, forms, and interactive command‑line applications for developers seeking lightweight terminal interfaces.

CLIPythoncurses

0 likes · 8 min read

Introduction to Python Text‑Based UI Frameworks: Curses, npyscreen, and Urwid

Python Programming Learning Circle

Apr 1, 2024 · Artificial Intelligence

Automating Minesweeper with Python and OpenCV: A Step‑by‑Step Tutorial

This tutorial explains how to build a Python‑based Minesweeper bot using OpenCV for image processing, win32gui for window handling, and a rule‑based solving algorithm, covering environment setup, window capture, block segmentation, block classification, and automated mouse actions.

MinesweeperPythonautomation

0 likes · 14 min read

Automating Minesweeper with Python and OpenCV: A Step‑by‑Step Tutorial

Software Development Quality

Apr 1, 2024 · Information Security

Master One-Click Info Collection & Scanning with jws-cli: A Python Security Tool

jws-cli is a Python‑based, extensible one‑click information collection and scanning tool that automates subdomain discovery, CDN and WAF detection, port and C‑segment scanning, and integrates third‑party vulnerability scanners, offering visual reports and email delivery for rapid penetration testing workflows.

Information GatheringPythonautomation

0 likes · 6 min read

Master One-Click Info Collection & Scanning with jws-cli: A Python Security Tool

Python Crawling & Data Mining

Apr 1, 2024 · Backend Development

How to Fix Chinese Garbled Text in Python Web Scraping: 3 Proven Methods

This article explains why Chinese characters often appear garbled when using Python web crawlers and presents three practical solutions—switching to response.content, manually setting the response encoding, and applying a universal encode‑decode trick—to reliably decode GBK‑encoded text.

EncodingGBKPython

0 likes · 6 min read

How to Fix Chinese Garbled Text in Python Web Scraping: 3 Proven Methods

Rare Earth Juejin Tech Community

Apr 1, 2024 · Artificial Intelligence

Deploying and Using Ollama Large Language Models Locally with Streamlit

This guide explains how to install Ollama, explore its supported open‑source LLMs, use its REST API for generation, chat, and embeddings, and build a Streamlit‑based web chat application that runs locally on your machine.

AILocal DeploymentOllama

0 likes · 6 min read

Deploying and Using Ollama Large Language Models Locally with Streamlit

Test Development Learning Exchange

Mar 31, 2024 · Big Data

Apache Airflow Overview and Advanced Usage Examples

This article introduces Apache Airflow, explains its core concepts such as DAGs, tasks, operators, executors, and the web UI, and provides multiple practical Python code examples for Bash commands, Python functions, SQL queries, task dependencies, sensors, dynamic DAGs, SubDAGs, XCom, email alerts, and error handling.

Apache AirflowDAGPython

0 likes · 7 min read

Apache Airflow Overview and Advanced Usage Examples

Python Programming Learning Circle

Mar 30, 2024 · Mobile Development

Developing Python Mobile Apps with Kivy and Buildozer: Installation, First App, and Packaging

This guide explains how to set up Kivy on macOS and Linux, create a simple Python hello‑world mobile app, test it, install and use Buildozer to package the app into an Android APK, and troubleshoot common build issues, providing full command‑line examples and code snippets.

APKBuildozerKivy

0 likes · 11 min read

Developing Python Mobile Apps with Kivy and Buildozer: Installation, First App, and Packaging

Test Development Learning Exchange

Mar 30, 2024 · Operations

Monitoring macOS and Windows System Resources with Python

This guide explains why and how to monitor CPU, memory, and disk I/O on macOS or Windows using Python's psutil, matplotlib, and numpy libraries, covering performance analysis, troubleshooting, capacity planning, automated alerts, and includes a complete example script that visualizes resource usage over time.

Pythonperformance analysispsutil

0 likes · 6 min read

Monitoring macOS and Windows System Resources with Python

Ops Development & AI Practice

Mar 29, 2024 · Fundamentals

How to Add and Edit Text on Images with Python Pillow

This tutorial walks through using Python's Pillow library to load an image, overlay or replace text with custom fonts and colors, and save or display the edited result, providing step‑by‑step code and practical tips for image manipulation.

PythonText OverlayTutorial

0 likes · 6 min read

How to Add and Edit Text on Images with Python Pillow

Python Programming Learning Circle

Mar 29, 2024 · Fundamentals

Comprehensive Guide to Python Built-in Functions with Examples

This article presents a detailed overview of Python's 66 built-in functions, explaining each function's purpose and providing concise example code snippets that demonstrate typical usage, making it a valuable resource for beginners and intermediate programmers seeking to master fundamental Python capabilities.

Pythonbuilt-in functions

0 likes · 10 min read

Python Crawling & Data Mining

Mar 29, 2024 · Backend Development

Why Your Python Crawler Misses Rendered Data and How to Fix It

This article explains why a Python web crawler often fails to retrieve JavaScript‑rendered page content, outlines common causes such as dynamic loading, anti‑scraping measures, and server‑side rendering, and offers practical techniques to capture the fully rendered HTML.

CrawlerPythonWeb Scraping

0 likes · 6 min read

Why Your Python Crawler Misses Rendered Data and How to Fix It

Test Development Learning Exchange

Mar 28, 2024 · Artificial Intelligence

Introduction to librosa: Audio Loading, Feature Extraction, and Visualization with Python

This article introduces the Python library librosa, outlines its main audio processing features such as loading, visualization, MFCC, pitch detection, chromagram, and rhythm analysis, and provides complete code examples for each operation.

Audio ProcessingMIRPython

0 likes · 7 min read

Introduction to librosa: Audio Loading, Feature Extraction, and Visualization with Python

Python Programming Learning Circle

Mar 28, 2024 · Artificial Intelligence

Tutorial: Setting Up highway‑env with OpenAI Gym and Training a DQN for Autonomous Driving

This article explains how to install the gym and highway‑env packages, configure the environment for various driving scenarios, define observations, actions and rewards, build a DQN network in PyTorch, run the training loop, and analyze the resulting performance metrics.

Autonomous DrivingDQNPython

0 likes · 9 min read

Tutorial: Setting Up highway‑env with OpenAI Gym and Training a DQN for Autonomous Driving

Sohu Tech Products

Mar 27, 2024 · Artificial Intelligence

Building a RAG Application with Baidu Vector Database and Qianfan Embedding

This tutorial walks through building a Retrieval‑Augmented Generation application by setting up Baidu’s Vector Database and Qianfan embedding service, configuring credentials, creating a document database and vector table, loading and chunking PDFs, generating embeddings, storing them, and performing scalar, vector and hybrid similarity searches, ready for integration with Wenxin LLM for answer generation.

AI applicationsBaidu QianfanEmbedding

0 likes · 11 min read

Building a RAG Application with Baidu Vector Database and Qianfan Embedding

Python Programming Learning Circle

Mar 27, 2024 · Operations

9 Practical Python Automation Scenarios with Sample Scripts

This article presents nine practical Python automation scenarios—including file management, web scraping, text processing, email handling, Excel manipulation, database interaction, social media posting, system task scheduling, and image editing—each accompanied by clear script examples and explanations to help readers streamline repetitive tasks efficiently.

DatabaseEmailPython

0 likes · 19 min read

9 Practical Python Automation Scenarios with Sample Scripts

DaTaobao Tech

Mar 27, 2024 · Artificial Intelligence

Building a Simple Diffusion Model with Python

This tutorial walks through implementing a basic Denoising Diffusion Probabilistic Model in Python, explaining the forward noise schedule, reverse denoising training, and providing complete code for noise schedules, diffusion functions, residual and attention blocks, a UNet architecture, loss computation, and a training loop.

DDPMPythonU-Net

0 likes · 26 min read

Building a Simple Diffusion Model with Python

Python Crawling & Data Mining

Mar 27, 2024 · Fundamentals

How to Aggregate Provincial Data with Python Pivot Tables vs SQL

This article explains a real‑world question about grouping 5,000 nationwide records by province to compute counts, totals, averages and ratios, compares using Excel pivot tables, SQL, and demonstrates a concise Python pandas pivot_table solution.

Pythondata aggregationpivot table

0 likes · 4 min read

How to Aggregate Provincial Data with Python Pivot Tables vs SQL

Test Development Learning Exchange

Mar 27, 2024 · Artificial Intelligence

Introduction to PyTorch and Example CNN Training on CIFAR-10

This article introduces PyTorch as a leading open‑source deep‑learning framework, outlines its key components such as dynamic computation graphs, tensors, autograd, modules, optimizers, data loading, distributed training and TorchScript, and provides a complete Python example that defines a simple CNN and trains it on the CIFAR‑10 dataset.

CNNDeep LearningPyTorch

0 likes · 8 min read

Introduction to PyTorch and Example CNN Training on CIFAR-10

Python Programming Learning Circle

Mar 26, 2024 · Cloud Native

Choosing the Right Docker Base Image for Python Applications

An in‑depth comparison of popular Docker base images—including Ubuntu, Alpine, Debian, CentOS, Amazon Linux 2, and official Python images—evaluates stability, security updates, dependency freshness, size, and build time to guide developers in selecting the optimal Linux distribution for Python container deployments.

Base ImageContainerDocker

0 likes · 18 min read

Choosing the Right Docker Base Image for Python Applications

Python Crawling & Data Mining

Mar 26, 2024 · Fundamentals

Why Your pandas diff_qty Check Returns Unexpected Results (and How to Fix It)

A Python community member struggled with a pandas null check that produced incorrect results, and the discussion reveals why the diff_qty calculation can't be null and offers concise code fixes to correctly handle zero and null values in data processing.

Code debuggingData cleaningNull Handling

0 likes · 3 min read

Why Your pandas diff_qty Check Returns Unexpected Results (and How to Fix It)

Test Development Learning Exchange

Mar 26, 2024 · Backend Development

Using pdoc to Generate API Documentation for Python Projects

pdoc is a lightweight Python command‑line tool that automatically extracts docstrings to produce clean HTML API documentation, offering features such as module and package generation, custom templates, markdown export, and a built‑in preview server for rapid documentation workflows.

API documentationCLIDocumentation Generation

0 likes · 5 min read

Using pdoc to Generate API Documentation for Python Projects

Open Source Tech Hub

Mar 25, 2024 · Artificial Intelligence

Quick Guide to Using ModelScope Library for Multi‑Modal AI Model Inference

This article introduces the ModelScope Python library, explains its support for PyTorch and TensorFlow, and provides step‑by‑step code examples for loading models, running inference pipelines on text and images, handling batch inputs, and customizing preprocessors in both Python and PHP.

AIModelScopePython

0 likes · 14 min read

Quick Guide to Using ModelScope Library for Multi‑Modal AI Model Inference

21CTO

Mar 25, 2024 · Fundamentals

Which Programming Languages Should You Master for Quantum Computing?

This article outlines the key programming languages—Python, Julia, and C++—that are essential for quantum computing development, explains their strengths, and offers practical advice for developers eager to enter the field.

C++JuliaPython

0 likes · 5 min read

Which Programming Languages Should You Master for Quantum Computing?

Python Programming Learning Circle

Mar 25, 2024 · Fundamentals

Simple Techniques to Accelerate Python for‑loops (1.3× to 970× Speedup)

This article presents a collection of practical Python techniques—such as list comprehensions, pre‑computing lengths, using sets, skipping irrelevant iterations, inlining functions, generators, map, memoization, vectorization, filterfalse, and join—that together can boost for‑loop performance anywhere from 1.3‑fold up to nearly a thousand times, with concrete code examples and benchmark results.

Code ProfilingLoop OptimizationPython

0 likes · 16 min read

Simple Techniques to Accelerate Python for‑loops (1.3× to 970× Speedup)

Python Programming Learning Circle

Mar 25, 2024 · Game Development

Implementing Automatic Missile Tracking in Python with Pygame

This article explains the mathematics and step‑by‑step Python pygame implementation of an automatic missile‑tracking algorithm for shooting games, covering time‑slice calculations, trigonometric direction computation, and image rotation handling to keep the missile tip aligned with the target.

Game DevelopmentMissile TrackingPygame

0 likes · 8 min read

Implementing Automatic Missile Tracking in Python with Pygame

Test Development Learning Exchange

Mar 24, 2024 · Backend Development

Using schedule and APScheduler Libraries for Python Task Scheduling

This article demonstrates how to use the simple schedule library and the more powerful APScheduler library—including blocking, background, and async schedulers—to create, run, log, handle errors, and manage concurrency and dependencies for Python scheduled tasks.

APSchedulerBackend DevelopmentPython

0 likes · 10 min read

Using schedule and APScheduler Libraries for Python Task Scheduling

MaGe Linux Operations

Mar 23, 2024 · Backend Development

Master Python Requests: Step-by-Step Web Scraping and Data Saving Guide

This tutorial walks you through installing the Python requests library on Windows and Linux, demonstrates how to perform GET, POST, PUT requests, pass parameters, bypass anti‑scraping measures, and save fetched HTML or images to local files with clear, runnable code examples.

Data SavingFile I/OHTTP

0 likes · 8 min read

Master Python Requests: Step-by-Step Web Scraping and Data Saving Guide

Python Programming Learning Circle

Mar 23, 2024 · Fundamentals

13 Lesser‑Known Python Features You Should Know

This article introduces thirteen hidden or underused Python features—including list stepping, the find method, iterators, doctest, yield, dictionary get, for/else loops, named string formatting, recursion limits, conditional expressions, argument unpacking, the __hello__ module, and multi‑line strings—each illustrated with code examples.

PythonTipsfeatures

0 likes · 8 min read

13 Lesser‑Known Python Features You Should Know

Python Programming Learning Circle

Mar 23, 2024 · Artificial Intelligence

Eight Python Libraries to Accelerate Data‑Science Workflows

This article introduces eight Python libraries—including Optuna, ITMO_FS, shap‑hypetune, PyCaret, floWeaver, Gradio, Terality, and Torch‑Handle—that streamline data‑science tasks such as hyperparameter optimization, feature selection, model building, visualization, and deployment, helping users save coding time and improve productivity.

Pythonautomationdata-science

0 likes · 12 min read

Eight Python Libraries to Accelerate Data‑Science Workflows

Test Development Learning Exchange

Mar 23, 2024 · Fundamentals

Extracting Text from PDF and Excel Files Using Apache Tika in Python

This tutorial demonstrates how to use the tika-python library to extract textual content from PDF and Excel files, providing code examples and important notes about installation and potential formatting limitations, and suggestions for further processing to obtain readable or structured output.

Data ExtractionExcel parsingPDF extraction

0 likes · 2 min read

Extracting Text from PDF and Excel Files Using Apache Tika in Python

Open Source Tech Hub

Mar 22, 2024 · Operations

How to Build and Deploy a Lightweight Domain & SSL Monitoring Platform with Python and Vue3

Domain Admin is a lightweight Python‑Flask and Vue3 monitoring tool that tracks domain and SSL certificate expiration, supports multiple notification channels, and can be installed via pip, Docker, or source code, providing cross‑platform deployment for reliable service uptime.

DockerFlaskPython

0 likes · 6 min read

How to Build and Deploy a Lightweight Domain & SSL Monitoring Platform with Python and Vue3

Python Programming Learning Circle

Mar 22, 2024 · Fundamentals

Top 15 Most Downloaded Python Packages on PyPI and Their Uses

This article reviews the fifteen most downloaded Python packages on PyPI, explaining each library's purpose, key features, typical use cases, and providing code examples to illustrate how they simplify tasks such as HTTP requests, compatibility, AWS interaction, date handling, security, and data processing.

PyPIPythonlibraries

0 likes · 15 min read

Top 15 Most Downloaded Python Packages on PyPI and Their Uses

Python Crawling & Data Mining

Mar 22, 2024 · Databases

How to Quickly Write Pandas DataFrames to MySQL Using SQLAlchemy

This article walks through a real‑world Python group question about efficiently inserting a processed pandas DataFrame into a MySQL table, explains why the original pymysql approach fails, and demonstrates a working solution with SQLAlchemy and create_engine.

BackendMySQLPython

0 likes · 4 min read

How to Quickly Write Pandas DataFrames to MySQL Using SQLAlchemy

Test Development Learning Exchange

Mar 22, 2024 · Fundamentals

Understanding Python Scope Rules: Global, Local, Enclosing, and Built‑in

This article explains Python's four scope levels—global, local, enclosing (non‑local), and built‑in—describes how the LEGB lookup order works, and provides clear code examples demonstrating variable access and modification in each scope.

LEGBPythonscope

0 likes · 5 min read

Understanding Python Scope Rules: Global, Local, Enclosing, and Built‑in

Python Programming Learning Circle

Mar 21, 2024 · Databases

Comprehensive Guide to Using PyMySQL for MySQL Interaction in Python

This article provides a detailed tutorial on the PyMySQL library, covering installation, connection setup, cursor operations, executing queries, transaction handling, advanced features like batch processing and connection pooling, as well as best practices for error handling and performance optimization in Python‑MySQL applications.

DatabaseMySQLPython

0 likes · 9 min read

Comprehensive Guide to Using PyMySQL for MySQL Interaction in Python

Python Programming Learning Circle

Mar 20, 2024 · Game Development

Python Pygame Solar System Simulation Tutorial

This tutorial demonstrates how to use Python and the Pygame library to create a real‑time visual simulation of the solar system, complete with background images, rotating planet sprites, optional music, and frame‑rate control, providing a hands‑on example of basic game‑style graphics programming.

Game DevelopmentGraphicsPygame

0 likes · 15 min read

Python Pygame Solar System Simulation Tutorial

Python Programming Learning Circle

Mar 19, 2024 · Fundamentals

20 Useful Python Code Snippets for Everyday Programming

This article presents twenty practical Python code snippets, covering topics such as a simple HTTP server, list comprehensions, dictionary updates, string manipulation, CSV reading, memory measurement, class creation, and more, to help programmers quickly solve common tasks.

PythonTutorialprogramming

0 likes · 8 min read

20 Useful Python Code Snippets for Everyday Programming

MaGe Linux Operations

Mar 19, 2024 · Backend Development

Master Python Proxies: 5 Essential Tips for Effective Web Scraping

Learn the core concepts of using proxies in Python web scraping, including what proxies are, common types like anonymous and high‑anonymity, how they protect your crawler, practical implementation with the requests library, and an overview of building a proxy pool for scalable data extraction.

CrawlerPythonWeb Scraping

0 likes · 7 min read

Master Python Proxies: 5 Essential Tips for Effective Web Scraping

Python Programming Learning Circle

Mar 18, 2024 · Backend Development

A Quick Introduction to Python Web Scraping for Recipe Websites

This article walks through a five‑minute Python web‑scraping tutorial that fetches recipe pages, parses HTML with urllib and BeautifulSoup, extracts titles and images, and wraps the workflow into a simple console application for random meal selection.

Console ApplicationHTTP requestsPython

0 likes · 12 min read

A Quick Introduction to Python Web Scraping for Recipe Websites

Model Perspective

Mar 18, 2024 · Fundamentals

How Long Does a Brick Take to Sink to the Ocean Bottom? A Physics Model

Confucius watches two children argue about a brick’s sinking time, then uses physics—gravity, buoyancy, drag—and a mathematical model with Python code to estimate how long the brick takes to reach the bottom of various oceans, highlighting differences due to depth and terminal velocity.

PhysicsPythonfluid dynamics

0 likes · 9 min read

How Long Does a Brick Take to Sink to the Ocean Bottom? A Physics Model

MaGe Linux Operations

Mar 18, 2024 · Cloud Computing

How to Build ARM Docker Images on an x86 Machine Using QEMU

This guide explains how to use QEMU on an x86 host to pull an ARM base image, create a Dockerfile with QEMU support, build the ARM-compatible Docker image, and test it, including a practical example of packaging a simple Python app for Raspberry Pi.

ARMDockerPython

0 likes · 8 min read

How to Build ARM Docker Images on an x86 Machine Using QEMU

Test Development Learning Exchange

Mar 17, 2024 · Fundamentals

Python Built-in Functions Reference

This reference lists Python's built‑in functions, providing concise English descriptions and example code snippets for each, covering topics from basic type conversions and arithmetic to object introspection and file handling and utility operations.

Pythonbasicsbuilt-in functions

0 likes · 19 min read

Python Programming Learning Circle

Mar 16, 2024 · Backend Development

Building a Flask Test Site and Retrieving Data with Excel and Python

This tutorial explains how to create a simple Flask web site and RESTful API, then demonstrates retrieving the table data using Excel's web import feature and Python's requests, BeautifulSoup, and pandas libraries, while comparing the two approaches.

Data ExtractionExcelFlask

0 likes · 9 min read

Building a Flask Test Site and Retrieving Data with Excel and Python

Test Development Learning Exchange

Mar 16, 2024 · Fundamentals

Python Built-in Functions and Utilities

This article introduces 10 essential Python built-in functions and utilities including enumerate(), zip(), filter(), map(), sorted(), functools.partial(), itertools.combinations(), lambda, getattr()/setattr(), and reversed(), with practical code examples for each.

LambdaMAPPython

0 likes · 3 min read

MaGe Linux Operations

Mar 15, 2024 · Backend Development

Build a Simple Python Web Scraper to Fetch Recipes in 5 Minutes

This guide walks you through creating a lightweight Python web scraper that fetches recipe data from a cooking website, covering HTTP requests, HTML parsing with BeautifulSoup, extracting titles and images, and wrapping the process into an interactive console application.

Console ApplicationPythonbeautifulsoup

0 likes · 15 min read

Build a Simple Python Web Scraper to Fetch Recipes in 5 Minutes

Test Development Learning Exchange

Mar 14, 2024 · Fundamentals

Using Python Lists, Dictionaries, and Tuples in API Automation Testing

This article explains how Python's mutable list and dictionary types and immutable tuple type can be employed to organize test data, build request payloads, and parse JSON responses when automating API tests, providing clear code examples for each use case.

Data StructuresDictionariesLists

0 likes · 6 min read

Using Python Lists, Dictionaries, and Tuples in API Automation Testing

21CTO

Mar 14, 2024 · Fundamentals

Will Python Finally Ditch the GIL? Inside the Upcoming 3.13 Changes

The article explains how Python's CPython interpreter is set to make the Global Interpreter Lock optional through PEP 703, detailing the recent merge that adds PYTHON_GIL=0 support, the expected Python 3.13 release date, and the potential impact on concurrency and AI workloads.

ConcurrencyGILPEP703

0 likes · 5 min read

Will Python Finally Ditch the GIL? Inside the Upcoming 3.13 Changes

Sohu Tech Products

Mar 13, 2024 · Artificial Intelligence

Build a Minimal Retrieval‑Augmented Generation (Tiny‑RAG) from Scratch

This step‑by‑step guide explains how to implement a lightweight Retrieval‑Augmented Generation system—Tiny‑RAG—by creating embedding classes, loading and chunking documents, building a simple vector store, performing similarity search, and integrating a large language model for answer generation, complete with runnable Python code.

EmbeddingLLMPython

0 likes · 14 min read

Build a Minimal Retrieval‑Augmented Generation (Tiny‑RAG) from Scratch

Test Development Learning Exchange

Mar 13, 2024 · Backend Development

Extracting Project Dependencies and File Header Comments in Python

This guide explains how to automatically collect all third‑party modules used in a Python project—by manually inspecting imports or using tools such as pipreqs, Poetry, or pipdeptree to generate a requirements.txt file—and provides a Python script for extracting the first‑line comments from each .py file and saving them to a text file.

File CommentsPoetryPython

0 likes · 4 min read

Extracting Project Dependencies and File Header Comments in Python

Open Source Tech Hub

Mar 12, 2024 · Artificial Intelligence

Step-by-Step Guide to Install ModelScope and Perform NLP Inference in Python & PHP

This guide walks you through setting up a Conda Python environment, installing PyTorch and the ModelScope library, running NLP pipelines for tasks like word segmentation and text classification, and calling ModelScope models from PHP using the PHPY extension, complete with code examples and troubleshooting tips.

AI inferenceModelScopeNLP

0 likes · 14 min read

Step-by-Step Guide to Install ModelScope and Perform NLP Inference in Python & PHP

21CTO

Mar 12, 2024 · Artificial Intelligence

Top 10 Python Libraries Every Data Scientist Must Master in 2024

Discover the essential Python libraries for data science in 2024, from versatile tools like Taipy and Pandas to powerful machine‑learning frameworks such as TensorFlow, PyTorch, and Scikit‑Learn, each with key features, use‑cases, and GitHub links to boost your analytics career.

AIPythondata-science

0 likes · 7 min read

Top 10 Python Libraries Every Data Scientist Must Master in 2024

AI Large Model Application Practice

Mar 12, 2024 · Artificial Intelligence

How to Build a Corrective RAG Agent with LangGraph: A Step‑by‑Step Guide

This article explains how to use LangGraph—a graph‑based extension of LangChain—to implement a corrective RAG (C‑RAG) pipeline that evaluates retrieved documents, rewrites queries when needed, performs web search, and generates accurate answers, complete with code snippets and a runnable example.

Corrective RAGLLMLangChain

0 likes · 14 min read

How to Build a Corrective RAG Agent with LangGraph: A Step‑by‑Step Guide

Python Programming Learning Circle

Mar 12, 2024 · Fundamentals

Visual Guide to NumPy: Creating Arrays, Operations, Indexing, and Applications

This tutorial provides a visual, step‑by‑step guide to NumPy, covering array creation, arithmetic and broadcasting, indexing, aggregation, matrix operations, reshaping, and practical examples such as computing mean‑squared error for machine‑learning models, illustrated with code snippets and diagrams.

Array OperationsPythondata-science

0 likes · 10 min read

Visual Guide to NumPy: Creating Arrays, Operations, Indexing, and Applications