This article explains how to utilize Python's config module for managing logging levels in interface automation, providing five practical code examples to demonstrate configuration of log levels, output paths, dynamic updates, format settings, and file backups.
This article introduces Python's built-in ConfigParser library, demonstrating how to read, write, update, handle multiple, and dynamically generate sections and options in INI configuration files through five practical code examples for interface automation tasks.
This article introduces the Python FuzzyWuzzy library, explains its Levenshtein‑based fuzzy string matching functions such as Ratio, Partial Ratio, Token Sort Ratio and Token Set Ratio, demonstrates how to use the process module for extracting best matches, and provides practical code examples for matching company and province names.
The article examines Meta’s Threads app, comparing its features and user experience with Twitter, and dives deep into the backend technologies—including Python 3.10, a custom Cinder JIT, Django customizations, and supporting services—that power the rapidly growing platform.
This article reviews the ten most popular backend frameworks for 2023—including Spring Boot, Django, Express.js, ASP.NET Core, Laravel, Ruby on Rails, Fiber, CakePHP, Flask, and Play—explaining their key features, language ecosystems, and recommended learning resources for developers of all levels.
This article introduces LangChain—a modular framework for constructing large‑language‑model applications—covering its core components, asynchronous support, prompt engineering, memory handling, chain and agent workflows, token considerations, embedding techniques, and a step‑by‑step Python example that culminates in a Gradio‑based conversational chatbot.
The article introduces the Command design pattern, explains its key roles such as Command, ConcreteCommand, Receiver, Invoker, and Client, outlines its advantages, and provides multiple Python code examples demonstrating light control, undo operations, file handling, shopping cart management, and menu actions.
This article explains the Object Factory design pattern, its benefits such as decoupling, extensibility, and centralized instance management, and demonstrates five practical Python examples covering basic product creation, configuration‑driven factories, logger factories, singleton factories, and object caching factories.
This article lists and briefly describes fifteen widely used design patterns in Python, including Singleton, Factory, Abstract Factory, Builder, Prototype, Adapter, Decorator, Proxy, Observer, Strategy, Template Method, Iterator, Chain of Responsibility, Command, and State patterns.
LangChain is an innovative framework that simplifies building language‑model‑driven applications by providing modular components such as models, prompts, memory, chains, and agents, with examples of asynchronous LLM calls, custom prompt templates, vector stores, token handling, and a simple Gradio chatbot implementation.
This article surveys a wide range of Python optimization tools—including NumPy, SciPy, Pandas, JIT compilers like PyPy and Pyston, GPU libraries, Cython, Numba, and interfacing utilities—explaining how they can accelerate code execution, reduce memory usage, and improve overall performance for single‑ and multi‑processor environments.
The article introduces LangChain, a framework that unifies language models, prompts, memory, retrieval, and tool‑driven agents into composable chains, illustrating its core components, code examples, end‑to‑end applications such as retrieval‑augmented QA and image generation, and outlining future uses in customer service, recommendation, and automated code review.
Scrapy is a powerful Python-based web scraping framework designed for large-scale and complex website data extraction. It offers high-level abstractions, built-in data extraction tools using XPath and CSS selectors, asynchronous processing for parallel requests, and flexible pipelines for data storage, making it ideal for efficient and scalable web scraping projects.
This article demonstrates how to use Python's requests library to call the YY live video API, parse the returned JSON for video URLs, download each video file, and store them locally, while also providing a complete reusable script for repeated batch downloads.
This guide explains how to combine ByteHouse's cloud‑native data warehouse with Apache Airflow to build scalable, automated, and easy‑to‑manage data pipelines, covering business scenarios, data flow, and step‑by‑step installation and DAG creation.
This article shows a step‑by‑step Python solution for finding the third last working day of any month, explaining the logic behind handling month‑end dates and weekend adjustments, and provides ready‑to‑run code for immediate use.
This article introduces several powerful Python libraries—Albumentations for image augmentation, MonkeyType for type inference, Bleach for HTML sanitization, Plotnine for data visualization, Returns for exception handling, ipdb for interactive debugging, and Virtualenv for environment isolation—detailing their use cases and providing example code for interface automation.
This guide explains how to use the argcomplete library to add Bash/Zsh auto‑completion for Python, pip, and other argparse‑based command‑line tools, including installation steps, activation commands, code integration for custom packages, and important usage cautions.
This article explains how to install and configure Redis, connect to it using Python's redis library, and demonstrates storing and retrieving various data structures—including strings, hashes, lists, sets, and sorted sets—followed by proper disconnection, providing a practical guide for Python developers.
This article introduces twenty commonly used Python magic (dunder) methods, explains their purpose such as object initialization, representation, iteration, arithmetic, and context management, and provides clear code examples for each to help developers apply them in real‑world automation tasks.
June 2023’s TIOBE Index reveals Python’s share slipping to 13% amid rising competition from C, Java, and C++, while AI-driven demand still fuels its popularity, and introduces two newcomers—Microsoft’s X++ and the versatile Raku—highlighting shifting trends in programming language usage.
This tutorial walks through building a Python command‑line movie ticket reservation system, covering data structures for film information, seat‑booking class design, user interaction for selecting seats or the front‑most available seat, and a controller that ties the film selector and seat booking together.
This article demonstrates how to use Redis as a database with Python code examples for basic operations, advanced features like pub/sub and distributed locks, and compares Redis to MySQL across data model, persistence, query capabilities, performance, scalability, and transaction support.
This article presents a collection of lesser‑known Python tricks—including string normalization, iterator slicing, keyword‑only functions, custom context managers, memory‑saving __slots__, CPU/memory limits, import control with __all__, and simplified ordering with total_ordering—to help developers write cleaner and more efficient code.
This guide explains how to use the open‑source binlog_parse_sql tool to parse MySQL 8.0 binary logs, generate SQL statements, and seamlessly migrate data to MariaDB or ClickHouse, covering installation, execution modes, troubleshooting, and practical ETL scenarios.
This article presents a concise, categorized guide to frequently used Python 3 standard library modules—including text processing, file handling, networking, data manipulation, concurrency, time/date, mathematics, and system utilities—each accompanied by clear explanations and runnable code snippets.
The article explains how Python now exists as both a typed and an untyped language, discusses the distinction between infrastructure and business‑logic code, and argues that embracing both approaches—using type hints for business logic while keeping infrastructure code flexible—benefits developers and the community.
This article provides a comprehensive overview of Python package management tools—including PyPI, setuptools, pip, virtualenv, and conda—explaining their purposes, core features, and basic usage commands for creating, sharing, and managing Python packages and environments.
This guide shows how to install, import, and use the JMESPath and JsonPath Python modules to perform basic and advanced queries on JSON data, including example scripts that filter, sort, and extract specific fields.
DeepKE-LLM is an open‑source, extensible knowledge‑graph extraction framework that leverages large language models for entity, relation, and attribute extraction, supports multiple LLMs, provides installation scripts, various usage modes, fine‑tuning pipelines, and integrates with the KnowLM project for advanced instruction‑following capabilities.
This tutorial walks through creating a Chrome extension that captures images from web pages, sends them to a Python‑backed Tesseract OCR engine, and displays the recognized text, covering the plugin's file structure, manifest configuration, JavaScript code, HTML UI, CSS styling, and installation steps.
Python's lambda (anonymous) functions, despite being limited to a single expression, can be employed in a variety of practical scenarios such as mapping, filtering, sorting, reducing, zipping, decorating, and implementing strategy patterns, as illustrated by ten concise code examples.
This article walks through solving Python web‑scraping captcha challenges by using Selenium to capture the image, applying OCR for recognition, and offering alternative request‑based methods, while also addressing common driver version mismatches.
This tutorial explains how to scrape a news article with Python, segment Chinese text, count word frequencies, and visualize the top ten words using a word cloud and a pie chart, providing complete code and sample results.
This article introduces how to build a Chrome extension using Python to convert JSON data to FormData format and vice versa, improving development efficiency through browser-based data format conversion.
This tutorial explains how to develop a Chrome extension that assists developers in locating web page elements and generating XPath expressions by outlining the plugin's structure, providing complete configuration files, JavaScript code, HTML/CSS UI, and step‑by‑step instructions for loading and testing the extension.
The TIOBE June 2023 ranking shows Python's share dropping to 13% amid rising competition from C, Java and C++, while AI-driven growth and new entrants like X++ and Raku highlight shifting trends in programming language popularity.
This article demonstrates how to use Python's concurrent.futures module to parallelize image resizing, turning a single‑process script into a multi‑core solution with just three additional lines of code, achieving up to a six‑fold speed‑up on typical CPUs.
This article walks through converting a high‑precision timestamp like "2022-03-25 08:00:00.000000000" into a readable Chinese date format using Python's datetime module, offering simpler alternatives to cumbersome string‑splitting tricks.
This article provides a step‑by‑step guide to creating a Google Chrome extension using Python and Flask that validates JSON data on the current page, covering prerequisite setup, project structure, manifest configuration, content and background scripts, backend server implementation, and testing procedures.
This tutorial walks you through installing Elasticsearch 8.x, generating sentence embeddings with Python, creating a dense_vector index, bulk‑loading documents, and performing both exact and approximate k‑nearest‑neighbor queries using script_score and the built‑in knn API.
This article provides a step-by-step guide to creating a Google Chrome extension that captures full-page screenshots, detailing the required project structure, manifest configuration, JavaScript background and content scripts, and a Python Selenium script for automated screenshot capture and saving.
This article demonstrates how to use Python to create an automated piano script that simulates keyboard presses, employs multithreading to play multiple hands simultaneously, and controls a web‑based piano interface, providing complete code examples and step‑by‑step instructions.
This tutorial explains how to create a web‑based tool that generates batch mock data of various types—including names, ages, genders, ID numbers, phone numbers, emails, and bank cards—by implementing a Flask backend API and a Vue.js frontend interface, complete with setup, code examples, and deployment steps.
This guide explains how to add, manage, and persist asynchronous scheduled jobs in a FastAPI application using APScheduler's AsyncIOScheduler with SQLite storage, covering task types, code examples, limitations, and alternative solutions such as arq, fastapi‑utils, and Celery.
This tutorial demonstrates how to build an efficient Excel data merging tool using Python Flask for the backend and Vue.js for the frontend, featuring template download, batch upload, progress tracking, and merged file path display.
This article introduces a variety of Python optimization tools—including NumPy, SciPy, Pandas, JIT compilers like PyPy, GPU libraries, Cython, Numba, and interfacing utilities—explaining how they can make code more concise, faster, and better suited for single‑processor or multi‑processor execution.
This guide introduces Scanless, a Python‑based tool that leverages third‑party online scanners to conduct anonymous port scans, explains how to install it via Git and pip, demonstrates command‑line usage and Docker support, and lists the supported scanning services.
The TIOBE June 2023 ranking reveals Python still leading but slipping to 13% share, while AI-driven popularity, emerging languages X++ and Raku, and the steady rise of C, C++, and Java reshape the top‑10 programming language landscape.
This tutorial walks through creating a web-based timestamp conversion utility that transforms second‑ and millisecond‑level timestamps to dates and vice versa, using a Flask backend API and a Vue.js frontend with styled HTML and CSS.
This article explains five common methods for storing authentication tokens during API automated testing—embedding in scripts, using environment variables, configuration files, databases, and secret management systems—and provides complete Python code samples for each approach.
This article provides a thorough walkthrough of advanced Pandas techniques—including complex logical queries, data‑type conversion, sorting, adding or modifying rows and columns, sophisticated filtering, iteration methods, and various function‑application utilities—complete with practical code examples for each operation.
The article reviews the newly released Python book “From 0 to 1”, exposing dozens of factual and conceptual errors ranging from variable naming rules and misuse of triple‑quoted strings to incorrect explanations of built‑in functions, and warns readers to avoid the book while offering free Python learning resources.
This article presents a detailed OTA (Over‑the‑Air) testing framework covering preparation, functional test points, upgrade strategies, data consistency, compatibility, performance load testing, and Python‑based automation for IoT devices, helping engineers avoid missed cases and ensure reliable firmware upgrades.
This tutorial explains how to install and use the Python Paramiko library to establish SSH connections to Linux servers from Windows and Mac terminals, enabling execution of Linux commands remotely and improve server management efficiency.
This article explains how Python decorators can abstract common functionalities such as logging, authentication, and performance monitoring in API automation testing, providing code examples, recommended use‑cases, and a complete demonstration that integrates logging and MySQL data storage to improve test efficiency and maintainability.
Robusta KRR is a local CLI tool that gathers pod metrics from Prometheus, recommends CPU and memory requests and limits, supports custom strategies, and can be installed via Homebrew or source, helping Kubernetes clusters cut up to 69% of cloud costs.
This article introduces ten essential Python libraries and frameworks, providing practical examples and code implementations for each to help readers understand and master their applications in various domains.
This tutorial walks developers through setting up an OpenAI account, obtaining an API key, configuring the Python environment, and writing a complete Python script that uses the ChatGPT API to create an interactive chatbot, complete with code examples and execution tips.
This article chronicles the life and career of Guido van Rossum, the creator of Python, detailing his early fascination with computers, the birth of Python in 1989, its evolution across various domains, his roles at Google and Dropbox, retirement, and recent return to Microsoft, while also offering a free Python learning resource.
This guide demonstrates how to set up a Flask backend service providing message APIs, install and configure Vue.js for the frontend, create components for displaying and submitting messages, and run both servers to produce a functional online message board.
This tutorial explains how to read and write Excel files in Python using xlrd/xlwt for .xls, openpyxl for .xlsx, and pandas for high‑level data handling, including installation commands, code examples, and a practical case of processing a tab‑separated car‑listing file.
This tutorial explains how to set up PrivateGPT, a Python‑based offline LLM solution that runs locally without sending any data to the cloud, covering environment preparation, model download, repository cloning, data ingestion, and interactive querying.
This article demonstrates how to create a Python-based tool that crawls click‑event data from an e‑commerce site, processes and visualizes the information to verify event‑tracking code, covering preparation, data collection, analysis, and visualization steps with complete source code.
This article demonstrates how to ensure data consistency between Redis and MySQL using Python by implementing a synchronization mechanism that monitors MySQL binlog changes and updates Redis cache in real-time.
This tutorial demonstrates how to perform A/B testing on two marketing campaigns using Python, covering data loading, cleaning, merging, and visual analysis of key metrics such as impressions, spend, clicks, searches, content views, add‑to‑cart actions, and purchases to identify the most effective strategy.
This article introduces eight fundamental OpenCV examples—including image reading, display, grayscale conversion, edge detection, resizing, Gaussian blur, and face detection—providing concise Python code snippets and explanations to help readers quickly apply these common computer‑vision techniques.
This article introduces fourteen relatively unknown Python techniques—including the ternary operator, enumerate, zip, list comprehensions, lambda functions, any/all, itertools, generators, decorators, argument unpacking, dynamic imports, dictionary comprehensions, callable objects, underscore separators, and dictionary merging—to help developers write more concise, efficient, and readable code.
This article demonstrates how to use Python, together with the openpyxl and xmind‑sdk libraries, to read a multi‑level Excel test case file, transform its hierarchical data into XMind topics, and generate a visual mind‑map representation of the test cases.
This article introduces the Python Statsmodels library, explains its key features such as linear regression, GLM, time‑series and robust methods, shows how to install it, load data with pandas, perform descriptive statistics, visualizations, hypothesis testing, and simple and multiple linear regression examples.
This article walks through a Python community question about automating office tasks, presents original code for copying Excel files, offers an improved script that recursively moves .xlsx and .xls files, and explains how to adapt the solution for broader file‑automation scenarios.
This article shows how to use Python's os and pandas libraries to automatically traverse nested folders, locate all .xlsx Excel files, and add standardized '经度' and '纬度' column headers, providing a clear, step‑by‑step solution for batch Excel header insertion.
This article explains why adding the decimal numbers 0.1 and 0.2 in binary floating‑point arithmetic yields the surprising result 0.30000000000000004, by detailing the exact 64‑bit representations, the rounding‑to‑nearest‑even rule, and step‑by‑step Python calculations that expose the underlying IEEE‑754 mechanics.
The pdf2docx library uses PyMuPDF and python-docx to extract PDF layouts, paragraphs, images, and tables, offering multi‑process conversion while noting current limitations such as lack of OCR and support for only left‑to‑right languages, and provides simple pip installation and a code example.
This article demonstrates how to use a short Python script with pandas and os modules to automatically locate all .xls and .xlsx files in nested subfolders, add standardized column headers, and save the updated workbooks in a single, streamlined step.
This tutorial demonstrates how to install the python-jenkins library, explore its extensive API methods, and use Python scripts to create, copy, configure, and control Jenkins jobs, nodes, views, plugins, and builds, providing practical examples and code snippets for each operation.
This guide explains how to use Python3, the Requests library, and Beautiful Report to perform automated API testing for WeChat Mini Programs, covering prerequisite knowledge, obtaining an access token, writing test cases, and generating detailed HTML test reports.
Google announced that Colab will soon offer AI-driven code generation, completion, and chat assistance powered by the Codey model, providing a free, multi‑language development tool that rivals GitHub Copilot for Python and machine‑learning workflows.
This article reviews the fifteen Python packages with the highest download counts on PyPI over the past year, 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, cloud interaction, configuration, security, and data handling.
This guide shows how to use Python's os and glob modules to automatically locate every Excel file in nested subfolders, providing step‑by‑step code examples and explanations for extracting file paths and adding headers to each workbook.
This tutorial walks through setting up a Python testing environment, installing required libraries, creating and coding test cases with Selenium, integrating Allure for reporting, and configuring Jenkins to run the tests and publish the results automatically.
This article explains how to create a Python‑based network port scanner that probes a target host, uses sockets and multithreading to detect open TCP ports, and provides clear usage instructions, sample code, and optional enhancements for faster or more comprehensive scanning.
Rye, a Rust‑written Python package manager created by Flask author Armin Ronacher, quickly topped GitHub Trending, offering one‑stop management of Python packages, environments, and projects with features like automatic installation, global isolation tools, and seamless pyproject.toml handling, illustrated through command‑line examples and praised by developers such as Simon Willison.
This article introduces AutoGPT, explains its underlying prompt architecture, built‑in commands, resource management, and JSON response format, and shares insights on how it autonomously executes tasks using large language models in real‑world applications.
This article introduces three Python 3 techniques for bulk file renaming—recursive numbering, renaming based on creation timestamps, and using regular expressions—explaining their advantages, providing complete code examples, and guiding readers on adapting the scripts for their own file management needs.
This guide details the end‑to‑end process of installing GPU drivers, setting up a Python environment, deploying the open‑source Alpaca‑LoRA model, fine‑tuning it with Chinese data on a multi‑GPU server, and performing inference, while highlighting practical challenges and performance observations.
The article explains how Python now exists as both a typed and an untyped language, distinguishes infrastructure code from business‑logic code, and argues that embracing both styles—using type hints for business logic while keeping infrastructure flexible—strengthens developers and improves software quality.
This article explains practical principles and techniques for crafting clear, specific prompts for ChatGPT, demonstrates how to structure prompts with separators and output formats, and provides a step‑by‑step guide—including code examples—for installing the OpenAI Python library, obtaining an API key, and writing a reusable get_completion function to interact with the model.
This tutorial demonstrates how to create a Python script that automatically backs up a chosen source folder to a target location every minute, using shutil and os modules to copy files into timestamped directories for reliable data protection.
This tutorial demonstrates how to use Python's requests and BeautifulSoup libraries to query IMDb for movie details such as title, director, cast, rating, and summary, illustrated with a sample lookup for the film Inception.
This article introduces ten useful pip techniques—including installation, upgrading, version-specific installs, uninstalling, checking for updates, handling compatibility, using domestic mirrors, downloading without installing, and batch installing from requirements files—to help Python developers efficiently manage their packages.
This article demonstrates how to use Python regular expressions together with pandas to parse complex price‑range strings, extract numeric values, normalize missing bounds, split them into separate columns, and optionally convert the results to numeric types for further analysis.
This article presents a collection of Python code examples covering JSON serialization, date‑time formatting, file reading, QR‑code and barcode creation, list and JSON comparison, class method reflection, and automatic file‑size‑based cleanup, providing practical guidance for everyday scripting tasks.
The article introduces SpaceTraders, an old Palm‑OS strategy game now exposed as a RESTful API, shows curl examples for registration, ship purchase, refueling and trading, and explains how building client applications with this API can serve as an engaging way to learn programming concepts.
This tutorial shows how to quickly integrate ChatGPT and Stable Diffusion AIGC models into a WeChat public account or mini‑program using the AIGCaaS platform, covering registration, API Explorer usage, code customization, asynchronous handling, and deployment with Python Flask.
This article introduces Python's DB-API, demonstrates how to install and use PyMySQL for MySQL operations, shows safe query execution, retrieving auto‑increment IDs, and explains two DBUtils connection‑pool patterns with code examples for multithreaded database access.
This article showcases Python's concise syntax and powerful libraries by comparing a simple web request with JavaScript and providing five practical automation scripts—including a URL shortener, fake data generator, YouTube downloader, NATO alphabet encoder, and Selenium-based social‑media login—demonstrating why Python is ideal for repetitive tasks.
Mojo, the new programming language announced by Chris Lattner’s Modular AI, combines Python’s usability with C‑level performance, offering seamless interoperability, extensive compiler optimizations, and scalability for AI workloads, positioning itself as a potential breakthrough in machine‑learning infrastructure and development.
Modular's new Mojo language blends Python's ease of use with C‑level performance, leveraging MLIR and hardware acceleration to claim up to 35,000‑fold speed gains, while offering system‑programming features, zero‑cost abstractions, and a path toward a Python superset for AI development.
This article provides a comprehensive guide to using Pandas for complex queries, data type conversion, sorting, adding and modifying data, advanced filtering, iteration, and functional operations, offering numerous code examples that illustrate how to efficiently clean, transform, and analyze tabular data in Python.
