This article introduces a custom Python logging wrapper built on the standard logging module and colorlog, explaining its design, configuration of console and file handlers, level settings, formatter setup, and usage examples to enhance debugging and monitoring across development, testing, and production phases.
This article introduces six intriguing open‑source projects—including an audio‑based keylogger, a high‑accuracy face‑recognition library, a TensorFlow.js video‑person removal tool, a Chinese kinship calculator, a Java Word template engine, and a sleek macOS Markdown editor—each with brief descriptions, screenshots, and usage examples.
The article explains how to automatically generate separate unittest test cases for each combination of input parameters by using setattr and static methods, avoiding large monolithic tests and enabling clear result reporting, and provides a complete Python code example.
This article explains the concepts of Python modules and packages, the mechanics of import statements, the search path and caching behavior, the roles of finders and loaders, and how the import system has evolved through PEP 302 and PEP 420 to support regular and namespace packages.
This article walks you through the complete process of automating Excel report generation with Python, covering Excel fundamentals, a five‑step workflow, practical code examples using pandas and openpyxl, and techniques for merging results into a single workbook or multiple sheets.
This article provides two Python scripts that transform raw interface‑copied data and URL query strings into properly formatted JSON, including dependency details, sample input, conversion code, and resulting output, offering a straightforward solution for developers handling unquoted JSON-like text.
A SlashData survey of over 19,000 developers reveals JavaScript as the most widely used language, highlights rapid growth for Python, Rust, and PHP, and examines regional 5G involvement and salary‑driven job‑change motivations across the global developer community.
This tutorial explains how to perform hypothesis testing, chi‑square, t‑tests, confidence‑interval calculation, and effect‑size measurement in Python, covering data preparation, statistical assumptions, code implementation, and interpretation of results for real‑world datasets.
This tutorial explains how to use the Python Bokeh library to create interactive scatter, bar, and multi‑panel visualizations, covering installation, figure configuration, hover tooltips, data sources, color mapping, looping over categories, and linking plots with shared ranges.
This article reviews eight Python frameworks—Django REST, Flask‑Restful, Falcon, Connexion, FastAPI, Hug, Eve, and Cornice—explaining their features, ideal project sizes, and how they simplify and accelerate the creation of robust APIs.
This tutorial demonstrates how to install Plotly, import necessary modules, and create various visualizations—including scatter, bar, histogram, pie, 3D, and density map charts—using both the graph_objects and express APIs with sample CSV data and code snippets.
This article explains the evolution of Python packaging, compares legacy tools like distutils and setuptools with modern solutions such as Poetry, details how to create and configure pyproject.toml, setup.py, and requirements files, and provides practical guidance on building wheels, eggs, and publishing packages to PyPI.
Flutter’s native testing tools struggle with hybrid apps, so this article analyzes the limitations of Flutter driver and integration_test, then presents a custom solution that leverages native automation frameworks, JSON protocols, and image‑processing techniques to achieve reliable UI automation for Flutter pages.
This tutorial walks you through creating a functional Arkanoid‑style game using Python and PyGameZero, covering installation, window setup, sprite handling, drawing and update loops, paddle control, ball physics, collision detection, and suggestions for adding game‑over logic and scoring.
This article presents practical Python tricks—including set operations, calendar calculations, enumerate usage with custom start indices, clean if‑else handling via enums, the enum module itself, and iPython basics—providing concise examples and explanations to help developers write more efficient and readable code.
This article introduces the Python Rich library, detailing its cross‑platform compatibility, installation via pip, and features such as rich text printing, console logging, emoji support, tables, columns, markdown rendering, syntax highlighting, and progress bars with code examples.
Python 3.10 introduces six standout enhancements—including clearer error traces, structural pattern matching, a new type union operator, stricter zip, automatic text encoding warnings, and async iteration utilities—each designed to streamline debugging, improve code readability, and expand the language’s capabilities for developers and educators alike.
This guide shows how to use Python tools like you‑get and a custom BililLocal player to download Bilibili videos, handle download issues, retrieve danmu subtitles, and play the content locally, providing step‑by‑step instructions and useful resources.
This tutorial shows how to use Python's Pillow library to automatically split any image into nine equal tiles with a concise script, explaining the calculations, code structure, and resulting output files, making image tiling easy for developers.
This article demonstrates how to use Python to scrape fund data from Eastmoney, store it in Excel, visualize fund type distribution, and perform detailed time‑series analysis on a specific fund's net‑value, growth rate, and yearly performance.
This article introduces the PrettyTable Python library, explains how to install it, demonstrates creating tables with headers, adding rows and columns, importing data from CSV, databases, or HTML, and shows various output formats and styling options for clear command‑line presentation.
Python 3.10 introduces clearer error tracing, structured pattern matching, a new type union operator, stricter zip, automatic text encoding warnings, and enhanced async iteration, offering developers more readable code, faster debugging, and modern programming conveniences.
This article explains how to use Python and the openpyxl library to automatically locate rows where column A equals 10 (representing 10 am) across multiple Excel files, presents two practical solutions, and provides complete code snippets and screenshots for easy implementation.
An extensive guide to Python's 68 built-in functions (up to version 3.6.2), organized into categories covering numeric operations, data types, data structures, scope, iterators, and I/O, with code examples illustrating each function's usage and behavior.
This tutorial walks through creating a word‑cloud web application using Flask for the backend and Vue for the frontend, covering environment setup, project structure, installing dependencies, writing API endpoints, building UI components, and packaging the app for deployment.
This tutorial explains how to unpack a PyInstaller‑packed executable, restore the missing .pyc header, and decompile the resulting bytecode back to readable Python source using pyinstxtractor, 010Editor, and uncompyle6.
This article walks through a real‑world Python project that uses Selenium to crawl the first ten pages of Taobao snack listings, extracts sales, price and location data, visualizes price distribution and geographic concentration, generates a word‑cloud of top user comments, and lists the top‑selling stores, providing full source code for replication.
This article explains how to use Tekton, a cloud‑native CI/CD framework, to sync its component images to a Tencent Cloud container registry, generate an image‑mapping JSON, and deploy Tekton via GitHub Actions, Python scripts, and Kubernetes resources.
This tutorial demonstrates how to use Python's requests library to programmatically log into Weibo, publish a status update, and automatically like posts by handling cookies, sessions, and the required st token, complete with full code examples.
This tutorial shows how to embed hidden text into an image using Python's OpenCV and PIL libraries, detailing the step‑by‑step process, complete code, customization tips, and visual results, enabling messages that appear only when the picture is enlarged.
Explore ten innovative Python project ideas—from voice‑controlled GUIs and AI betting bots to trading algorithms, virtual assistants, SSL auto‑renewal, facial recognition, contact‑tracing, file organization, and YouTube‑based career path generators—each designed to sharpen your programming, AI, and automation expertise.
This tutorial explains how to build a Python automation script for the 4399 mini‑game “Pet Link Classic 2”, covering environment setup, window handling, screenshot processing, image comparison with Hamming distance, path‑finding algorithms, and mouse‑click simulation to clear matching icons.
This article presents a curated list of over a dozen online coding game platforms—such as Codingame, CodeCombat, Screeps, and Human Resource Machine—detailing their features, supported languages, and URLs, offering programmers of all levels engaging ways to improve their coding skills.
This article documents a Python service performance optimization case, detailing the initial requirements, environment setup, bottleneck analysis, architectural redesign with caching and message queues, Linux TCP time-wait tuning, and load-testing results that achieved 50 k QPS with low latency and error rate.
This article provides a hands‑on guide to using the pyttsx3 library for offline text‑to‑speech conversion in Python, covering installation, basic playback, voice property adjustments, multilingual support, and conditional speech examples with counters.
This article explains how applying the five SOLID principles, choosing appropriate system architectures, using clear naming, drawing diagrams, and refactoring code—including guard clauses, responsibility‑chain patterns, and composition over inheritance—can dramatically improve Python program design and maintainability.
This article walks through a fan's question on converting a Chinese date string like '2021年9月28日' into the standard '2021/9/28' format, presenting three practical Python solutions—including direct replacement, split‑and‑join, and datetime parsing—so you can pick the most suitable method for bulk data processing.
After integrating Kubernetes into Probius, this guide shows how to pull pod metrics from Prometheus using the query_range API, process them with a Python client, and visualize CPU, memory, bandwidth, and IOPS data in Probius via ECharts, completing a seamless container‑monitoring feature.
The article examines IEEE Spectrum's 2021 programming language ranking, compares it with Stack Overflow and TIOBE surveys, explains the methodology using eight data sources and eleven metrics, and highlights Python's surge alongside the enduring popularity of Java, C, C++, and JavaScript.
The article explains that Python dictionaries are hash tables with average O(1) lookup, describes how their internal structure changed in Python 3.6 to separate indices and entries, resulting in ordered iteration and significant memory savings.
Python 3.10, released on October 4 2021, introduces concise Union type syntax, a strict mode for zip, parenthesized with‑statements, explicit TypeAlias declarations, structural pattern matching via match‑case, clearer syntax error messages, and several deprecations such as distutils, all illustrated with code examples.
This guide presents a comprehensive collection of PyCharm keyboard shortcuts—including code formatting, line merging, comment toggling, navigation, refactoring, and debugging—illustrated with clear Python examples to help developers write, organize, and troubleshoot code more quickly and accurately.
This article explains why Chinese characters often appear as garbled text when crawling websites with Python and provides three practical solutions—using response.content, manually setting the response encoding, and applying a generic encode‑decode trick—to reliably decode the data.
This article walks through creating a Python script that uses the pywifi library to brute‑force Wi‑Fi passwords, shows how to improve flexibility with command‑line arguments, and demonstrates two graphical interfaces built with Tkinter for a more user‑friendly cracking tool.
Discover a curated collection of practical Python tips—from swapping variables without a temporary placeholder and mastering list, set, and dictionary comprehensions to leveraging Counter for counting, pretty‑printing JSON, solving FizzBuzz, using inline if statements, and more—to enhance your coding efficiency and readability.
This guide compiles over 300 interview-style questions covering Python fundamentals, network programming, concurrency, databases, caching, frontend frameworks, DevOps tools, and system design, along with code snippets and brief explanations to help candidates prepare for technical interviews.
This article compares how Java, Groovy, Python, and Go implement closures and treat functions as parameters, showing concrete syntax for defining single‑parameter, multi‑parameter, and parameter‑less closures, as well as returning and invoking them within methods.
This article presents a classic monkey‑and‑peach puzzle, derives the minimal initial peach count using mathematical reasoning, and then demonstrates a brute‑force Python program that searches for the solution, illustrating how loops and modular checks solve the problem.
This comprehensive guide walks you through Python’s time‑handling ecosystem, covering the low‑level time module, the richer datetime module, timezone utilities like pytz, advanced parsing with dateutil, and the user‑friendly Arrow library, complete with explanations, code snippets, and practical examples for formatting, conversion, and manipulation.
The TIOBE Index for October 2021 ranks Python as the top language at 11.27%, pushing C and Java down to second and third places, while highlighting notable movements such as R falling out of the top ten and Assembly language making a strong comeback among the top‑100 programming languages.
This article provides a comprehensive overview of Apache Flink's major releases from version 1.7 to 1.14, detailing new APIs, state management improvements, Kubernetes integration, SQL and Table API enhancements, checkpointing advances, and performance optimizations that together illustrate the platform's evolution for both streaming and batch processing workloads.
This article explains the unique features of Python’s plus‑equals (+=) operator, demonstrates its usage with simple and complex examples, explores the concept of mutable elements within immutable tuples, and provides sample code illustrating how these operators work under the hood.
This article presents a comprehensive guide to speeding up Python programs by applying optimization principles, avoiding global variables and attribute look‑ups, reducing unnecessary abstractions and data copies, improving loop constructs, using built‑in functions like join, leveraging short‑circuit logic, and employing tools such as numba for JIT compilation.
This guide explains how to set up ADB on a Windows PC, capture screenshots from an Android device, analyze the image to locate the game piece and platform in the WeChat Jump mini‑program, and automatically perform jumps using Python code that calculates press duration and simulates swipe input.
This article explains why the Python requests library may install correctly yet fail to import, covering virtual‑environment issues, filename conflicts, and attribute errors, and provides step‑by‑step solutions to get the import working again.
This guide presents eleven practical PyCharm tricks—from adjusting font sizes and customizing the UI to efficient code commenting, refactoring, package management, and debugging—helping both beginners and seasoned developers boost productivity and master the IDE’s powerful features.
This article walks through a common Python requests encoding error, explains why it occurs due to mismatched UTF-8 and GBK settings, and provides step‑by‑step instructions—including PyCharm configuration and code snippets—to resolve the issue permanently.
This tutorial shows how to create a Tetris mini‑game with AI using a straightforward algorithm, Python 3.6, PyQt5, and detailed code that evaluates board states based on cleared lines, holes, heights, and other metrics to select optimal moves.
This article walks through a Python exercise that creates random student names, IDs, and scores, then saves the data into both TXT and CSV files using the random module, lists, dictionaries, and file I/O, complete with full code examples and output screenshots.
This article walks you through every stage of turning a Python project into an open‑source package, covering licensing, project structure, setup.py creation, testing, documentation, continuous integration, and finally releasing the package to PyPI or Conda.
This article explains how computational graphs can represent arbitrary neural networks, describes forward and reverse propagation, details the implementation of automatic differentiation with Python and NumPy, and demonstrates building and training a multilayer fully‑connected network on the MNIST dataset using custom graph nodes and optimizers.
This article explains why unit testing is essential for reducing code complexity, outlines common testing models, provides language‑specific best practices for Java, C++, and Python, and describes how to measure test coverage and effectiveness across large‑scale projects.
This article presents an extensive curated collection of Python libraries and tools covering environments, package management, web frameworks, databases, testing, data analysis, machine learning, DevOps, and many other domains, providing developers with a comprehensive reference to enhance productivity and build robust applications.
This article introduces PyAutoGUI, a cross‑platform Python library for controlling mouse, keyboard, dialogs and screenshots, shows how to install it, explains its coordinate system, outlines core functions, and provides practical code examples for drawing and image‑based automation.
This article walks through extracting latitude and longitude pairs from a CSV file into separate Excel columns using pandas, explains each processing step, and presents an optimized chunk‑based solution that handles tens of thousands of rows in seconds.
This tutorial explains how to install and use a Python library that wraps the MAME emulator to train reinforcement‑learning agents on arcade games such as Street Fighter III, covering system requirements, installation, environment configuration, debugging, step‑wise simulation, and a simple ConvNet agent example.
This tutorial demonstrates how to use Python's requests and lxml libraries to scrape static web pages, extract image URLs via XPath, convert thumbnail links to full‑size URLs, and download the images to a local folder, providing a complete end‑to‑end example.
This guide walks you through handling textual data with pandas, covering basic and new string dtypes, essential string methods for formatting, alignment, counting, encoding, and advanced operations such as splitting, replacing, concatenating, matching, and extracting patterns, all illustrated with clear code examples.
This article introduces five essential Matplotlib chart types—scatter plot, line plot, histogram, bar plot, and box plot—explaining their strengths, typical use‑cases, and providing ready‑to‑run Python functions for each visualization.
This tutorial walks through building a simple Arkanoid‑style game using Python and PygameZero, covering installation, window setup, drawing paddles and bricks, handling input, implementing ball physics, collision detection, and adding scoring logic, with complete code snippets and explanations.
This guide demonstrates how to transform a JSON array into a CSV file with pandas, then sort the resulting CSV by specific columns using two different Python approaches, providing complete code snippets and explanations for each step.
This article provides a comprehensive overview of core Python concepts—including garbage collection, tuple versus list differences, process/thread/coroutine models, shallow and deep copying, the Global Interpreter Lock, sorting algorithms, closures, decorators, iterators, generators, and essential Django backend components such as WSGI, request lifecycle, middleware, ORM methods, caching, and REST framework.
This article outlines four typical pitfalls when employing Python's lambda (anonymous) functions—such as returning values, overlooking better alternatives, assigning to variables, and ignoring list comprehensions—and provides practical guidelines and code examples to help developers use lambdas correctly and more readably.
This article explains Python's closure late-binding behavior that causes unexpected lambda results, demonstrates the issue with a sample interview question, and presents four practical solutions—including default‑argument binding, functools.partial, generator expressions, and yield‑based lazy evaluation—to achieve the intended outputs.
This article explains the problem of selecting the correct Python interpreter for scripts, introduces the Python Launcher introduced in PEP 397, and provides step‑by‑step instructions for installing and using it on both Linux and Windows to run scripts with the desired Python version.
This article walks through creating a simple Python pygame game where a rabbit moves with WSAD or arrow keys to eat stationary mooncakes, gaining weight, with collision detection, dynamic mooncake spawning, and a game‑over condition when the rabbit’s weight exceeds a threshold, including full source code.
September 2021 TIOBE Index shows Python closing in on the top spot, needing just a 0.16% rise to surpass C, while Assembly, Ruby, and Go also climb the rankings, and the report includes detailed TOP 20, TOP 10 trends, and historical data.
This article introduces Microsoft’s open‑source Playwright‑Python library, explains how to install it, demonstrates recording and code generation, provides synchronous and asynchronous usage examples—including mobile device emulation—and discusses its advantages and current limitations for web automation testing.
This tutorial demonstrates how to collect, clean, and visualize historical Chinese National Games medal data using Python, covering data extraction with regular expressions, organization into pandas DataFrames, and creating both static line charts with Matplotlib and interactive charts with PyEcharts, complete with code snippets and practical tips.
This article presents a Python‑based web‑scraping project that collects the first ten pages of "小鱼零食" search results on Taobao, analyzes sales, price distribution, geographic store locations, top comments, and visualizes the findings with bar charts and word clouds.
This tutorial walks through setting up Python 2.7 on Ubuntu, then demonstrates how to install, connect to, and perform CRUD operations with four different databases—SQLite, MySQL, LMDB, and LevelDB—showing complete example scripts and summarizing the key differences between relational and key‑value stores.
This article demonstrates how to build a Python‑based WiFi password brute‑force tool, first using a command‑line script that reads passwords from a dictionary and attempts connections, then enhancing it with scanning, flexible dictionary selection, and finally providing both a simple and an upgraded Tkinter graphical user interface for interactive cracking.
This article provides a step‑by‑step guide to Django, covering web framework basics, the MVC/MTV pattern, project and app creation, URL routing, view logic, template rendering, static files, form handling, and database configuration with migrations.
This guide explains how to use Python, pandas, and requests to fetch minute‑by‑minute K‑line data for Chinese stocks from Eastmoney's API, generate the required secid, handle different market codes, and continuously save the data until market close.
This tutorial explains how to locate Bilibili video danmaku (bullet‑comment) APIs, extract the CID, and use Python libraries such as requests, BeautifulSoup, and pandas to download, clean, and save the comment data to CSV files, with an optional API‑based shortcut.
This article presents a collection of Python programming examples covering function chaining, default‑argument traps, CSV file reading and writing, number‑base conversion, list flattening and merging, dictionary utilities, and common algorithmic patterns such as permutations and combinations.
This article presents a curated A‑Z list of practical Python tricks—including built‑in functions, standard library modules, code snippets, and tips such as using collections, type hints, virtual environments, and command‑line utilities—to help developers write cleaner, more efficient code.
This article explains how to build a Tetris game with a basic AI using Python 3.6.4 and PyQt5, covering environment setup, the underlying algorithm that evaluates future board states, and the complete source code for the AI decision‑making and scoring functions.
This article introduces ZTO Technology’s Ark Platform, a database PaaS solution that automates deployment, backup, monitoring, data flashback, and slow‑SQL optimization, detailing its architecture, core features, and the operational benefits it brings to large‑scale logistics environments.
This concise tutorial explains how to install the Mammoth Python CLI and use it—either via command line or within Python code—to transform .docx Word documents into clean HTML web pages or Markdown files, with tips on hosting them cheaply on GitHub Pages.
This guide explains how to set up ADB on a Windows PC, connect an Android device, capture screenshots, and run a Python script that detects the game pieces and board in WeChat's Jump mini‑program to automatically perform jumps based on calculated distances.
This article compares the evolution, concepts, and practical implementations of coroutines in Python and JavaScript, explaining their histories, core mechanisms such as async/await, event loops, and providing side‑by‑side code examples to help newcomers understand asynchronous programming in both languages.
This tutorial walks through building both command‑line and Tkinter‑based Python tools that scan nearby Wi‑Fi networks, read password dictionaries, and perform brute‑force attacks using the pywifi library, while also showing how to package the script as an executable and discussing potential multithreading improvements.
This guide explains how to migrate classic web frameworks such as Bottle and Flask to Alibaba Cloud Function Compute using request integration, custom runtimes, and Serverless Devs, providing step‑by‑step code examples, deployment configurations, and alternative solutions for other FaaS platforms.
This guide explains how to create a custom DingTalk robot using Python 3.7, covering webhook configuration, security signing, step‑by‑step setup in the PC client, and a complete code example for sending text messages.
This article explains why circular imports occur in Python, demonstrates the resulting ImportError with example modules, and provides three practical solutions—including importing modules directly, using lazy imports, and redesigning code structure—to prevent such issues.
This article presents eleven practical PyCharm tips and shortcuts, covering font settings, UI scaling, multi‑line commenting, code reformatting, refactoring, search, local history, package management, debugging, and customizing the IDE background to boost Python development efficiency.
This article introduces PyAutoGUI, a cross‑platform Python library for automating mouse and keyboard actions, explains its coordinate system, outlines key functions for mouse, keyboard, dialogs, and screenshots, and provides practical code examples for drawing and image‑based button clicking.
This article introduces a high‑performance Python microservice framework built on Sanic, detailing its architecture, asynchronous design principles, integration of uvloop, asyncpg, aiohttp, Peewee ORM, OpenTracing, Swagger API documentation, middleware, testing, and deployment considerations for scalable backend services.
This article explains the legal and ethical pitfalls of Python web scraping, clarifies what truly counts as a crawler, discusses robots.txt and service agreements, warns against profiting from scraped data, and offers practical advice for responsible and low‑risk data collection.
