This article walks you through creating a simple Python lottery draw program, explains how to prepare the names CSV file, shows the GUI logic, provides key code snippets for random name generation and interface handling, and demonstrates packaging the script into a standalone executable with PyInstaller.
Learn what imbalanced data is, why it hampers machine learning models, and explore a comprehensive suite of preprocessing strategies—including under‑sampling, over‑sampling (SMOTE, ADASYN), combined sampling, ensemble methods, and class‑weight adjustments—using the imbalanced‑learn library with concrete Python code examples.
Discover Ryven, a visual Python scripting tool that turns ordinary code into an interactive workflow, showing each step from image input and resizing to bilateral filtering, while offering data‑flow and execution‑flow modes for real‑time feedback.
This tutorial walks you through installing dependencies, running a Scrapy spider, configuring Scrapyd, packaging the project, and using Gerapy’s visual interface to manage and deploy a Python web crawler for Qiushibaike jokes.
Learn step‑by‑step how to scrape Tencent’s location data via its API, process the coordinates with pandas, deduplicate and filter them, and finally visualize regional foot‑traffic as an interactive heatmap using Folium, complete with code snippets and practical tips.
This article provides a visual, step‑by‑step introduction to NumPy’s core concepts—vectors, matrices, higher‑dimensional arrays, creation, indexing, arithmetic, broadcasting, and common functions—helping developers and researchers understand how the library works and apply it efficiently in Python data‑science workflows.
This article introduces KubeVirt as a Kubernetes plugin for managing virtual machines, compares it with OpenStack and other solutions, explains its CRDs, components, storage and networking options, and provides detailed code examples and SDK usage for deploying and operating VMs in a cloud‑native environment.
Using Python, this tutorial demonstrates how to scrape 1,585 cherry product listings from Taobao, extract key fields, clean and transform the data, and visualize regional sales and price distributions, highlighting the most popular provinces, stores, and price ranges, all with reproducible code.
This tutorial shows how to use Python's glob, python-docx, and openpyxl libraries to automatically scan a folder of Word meeting notices, pull out study time, content, format, and host information, and populate an Excel spreadsheet, saving hours of manual work.
This article provides an in‑depth overview of Apache Superset, covering its recent graduation to a top‑level Apache project, key visualization features, extensive data source support, step‑by‑step installation via pip or Docker, PostgreSQL connection, role‑based permission model, and practical usage insights.
This tutorial presents thirty concise Python tasks—ranging from duplicate detection and anagram checking to list chunking, dictionary merging, and execution timing—each accompanied by clear explanations and ready‑to‑run code snippets, enabling beginners to solidify fundamental concepts through hands‑on practice.
This article walks through a systematic performance investigation of a Python‑Flask backend, using Chrome Network, flame‑graph profiling, and MySQL query refactoring to shrink a 37‑second endpoint down to 1.5 seconds, while sharing practical code snippets and optimization lessons.
This guide shows how to retrieve the Kubernetes API endpoint, generate an authentication token, deploy a Python script, configure Zabbix host and external check, and manually trigger the monitoring to collect cluster metrics via Zabbix Sender.
Discover seven top‑rated open‑source GitHub repositories—ranging from beginner notebooks and comprehensive tutorials to advanced algorithm collections—that provide structured Python lessons, hands‑on exercises, and supplemental resources, helping learners progress from fundamentals to intermediate proficiency.
This guide walks you through the complete Python data‑analysis workflow—reading and writing data, processing with NumPy and pandas, modeling with statsmodels and scikit‑learn, and visualizing results with Matplotlib—while highlighting the key tools and learning path for beginners and busy professionals alike.
This article explains the purpose and behavior of Python's built‑in __name__ variable, showing how its value differs when a script is run directly versus when it is imported as a module, with clear code examples and execution flow diagrams.
This tutorial explains how to use PyQt's QFormLayout for two‑column forms, add rows with .addRow(), nest layouts for complex interfaces, switch pages with QStackedLayout and QComboBox, and create tabbed dialogs using QTabWidget, providing complete code examples for each technique.
This article presents a step‑by‑step tutorial on fifteen practical pandas filtering techniques, demonstrating how to select, exclude, and query supermarket operation data using comparison operators, logical expressions, and pandas-specific functions, all illustrated with clear code examples and screenshots.
This beginner‑friendly guide walks readers through installing Scrapy, creating a project and spider, running and debugging crawlers, implementing parsing with CSS/XPath, and overcoming common hurdles such as JavaScript rendering, user‑agent spoofing, and proxy rotation via configurable middlewares, enabling quick start of web‑crawling projects.
This article presents a comprehensive collection of 100 Python programming exercises covering topics such as number combinations, tax calculations, perfect squares, date handling, sorting algorithms, Fibonacci sequences, matrix operations, and more, each accompanied by problem descriptions, analysis, and complete code solutions.
This article introduces Microsoft’s open‑source Playwright‑Python library, explains its advantages over Selenium, walks through installation, code generation, synchronous and asynchronous usage, mobile emulation, and highlights its strengths and current limitations for Python developers.
This article provides a comprehensive introduction to Python, covering its history, key features, basic syntax for running scripts, encoding declarations, identifier rules, keywords, operators, variable usage, core data types, string and bytes handling, input/output functions, and module import techniques.
This tutorial walks through configuring a Django project to use MySQL instead of the default SQLite, covering database creation, settings adjustments, required package installation, migrations, and a complete example with URLs, views, templates, and server startup.
This article provides a comprehensive overview of Python’s collections module, detailing its specialized container types such as Counter, defaultdict, OrderedDict, namedtuple, deque, and ChainMap, along with usage examples and key methods for each.
This article presents the 2020 Python library ranking, explaining the selection criteria and highlighting ten standout libraries—ranging from CLI tools like Typer and Rich to AI‑focused frameworks such as Hydra, PyTorch Lightning, Hummingbird, and HiPlot—plus several honorable mentions.
This article explains Python’s core principle that everything is an object, detailing the distinction between type objects, instance objects, and metaclasses, how built‑in types like int and str fit into the hierarchy, the role of the object base class, variable naming as pointers, and the differences between mutable, immutable, fixed‑length and variable‑length objects.
In this article we demonstrate how to use Python’s requests and BeautifulSoup to scrape a static webpage listing the world’s top 100 most beautiful women, process the data with pandas and pyecharts for continent, nationality and profession statistics, and apply Baidu’s face‑recognition API to score each celebrity’s attractiveness.
musicpy is a Python library that lets you write music using concise, theory‑driven syntax, generate MIDI files, and serve as a bridge for teaching AI music theory, offering classes for notes, chords, and scales that support mathematical operations and algorithmic composition.
This tutorial demonstrates how to create a Python web scraper using Selenium and BeautifulSoup, covering login automation, HTML retrieval, parsing with html5lib, data extraction from tables, and strategies for handling anti‑scraping measures such as headless browsing and proxy usage.
This article describes how to collect commit data from five popular Python GitHub repositories with Pydriller, parse source files into abstract syntax trees, extract standard library imports, compare pre‑ and post‑commit usage, and visualize the ten most frequently used standard libraries.
This article walks you through Django's Form component, explaining how it generates HTML, validates input, retains data, and integrates with models, while providing step‑by‑step code examples for defining Form classes, handling GET/POST requests, rendering templates, and customizing fields and widgets.
This guide reviews fifteen essential Python packages—from data‑visualisation with Dash and image handling with Pillow to web requests, JSON parsing, and home automation—explaining their key features, typical use‑cases, and why they’re valuable tools for developers.
This tutorial walks you through creating a Django registration page using the built‑in Form component, demonstrating how to validate user input, display error messages, preserve submitted data, and compare a plain view implementation with a Form‑based approach.
This article introduces Python as a beginner‑friendly, multi‑purpose language, explains its compilation process, and presents eleven powerful Python compilers and interpreters—including Brython, Pyjs, WinPython, Skulpt, Shed Skin, ActivePython, Transcrypt, Nutika, Jython, CPython, and IronPython—highlighting their key features and where to download them.
This article explains what OCR is, introduces the EasyOCR Python library, shows how to install it, walks through step‑by‑step usage with code examples, and summarizes the underlying deep‑learning techniques powering the library.
This article outlines the key additions in Python 3.9 over 3.8, summarizes the concise language reference, standard library guide, installation tips, common FAQs, and provides official documentation links and a QR‑code method to download the full PDF.
This tutorial walks you through using Python's requests library and Zabbix Sender to retrieve Kubernetes API metrics, covering API endpoint discovery, token generation, script deployment, host configuration, and manual trigger of checks to visualize the data.
This tutorial shows how to create a civilian‑grade AI for the mobile game Honor of Kings by mirroring the phone with scrcpy, generating action commands from game screenshots using a Transformer model, and executing them via minitouch on Android devices.
This tutorial walks you through installing Scrapy on Windows, creating a project and spider, configuring settings, and using XPath to crawl and extract joke titles and contents from the Qiushibaike website, providing a solid foundation for Python web scraping.
JupyterLab now offers a visual debugger plugin and the xeus‑python kernel, allowing users to set breakpoints, inspect variables, and navigate execution directly in notebooks, with simple installation commands and future enhancements such as richer variable rendering and conditional breakpoints.
This tutorial walks through using Python's Kivy framework and the Buildozer tool to create, test, and package a cross‑platform mobile app, covering environment setup on macOS, Linux, and CentOS, sample code, build commands, and common troubleshooting tips.
This tutorial walks through high‑level Django ORM techniques—including aggregation, grouping, field‑to‑field (F) expressions, complex Q‑object queries, and dynamic query construction—providing clear code examples, SQL equivalents, and practical tips for backend developers working with Python and databases.
This article introduces Python’s built‑in unittest framework, explains its core concepts such as test cases, fixtures, suites and runners, demonstrates common assertion methods, and provides a step‑by‑step Selenium example for testing a webmail login flow.
This article explains what Armstrong (narcissistic) numbers are, demonstrates how to determine them for three‑digit, n‑digit, and range‑based cases, and provides clear Python code examples with sample outputs to help readers grasp the concept and implement the checks.
This tutorial shows how to install the Python requests library and use it to perform GET and POST HTTP requests, covering required parameters, headers, and example code for handling responses.
This guide shows how to install the Python requests library and use it to perform GET and POST HTTP requests, explaining required parameters, headers, and providing complete code examples for calling remote APIs.
This article provides an in‑depth overview of Apache Airflow, covering its core concepts, advantages, architecture components, installation steps, example ETL DAG code, common command‑line tools, and practical tips for leveraging Airflow in data engineering workflows.
An in‑depth comparison of Python and PHP evaluates performance, complexity, flexibility, security, frameworks, and community support, helping developers decide which language better suits their web development projects based on project requirements, scalability, and ecosystem strengths.
This guide demonstrates how to retrieve a list of WeChat public account articles by constructing the appropriate API URL, examining its query parameters, viewing the JSON response, and using a Python script to parse the data and generate a markdown file of titles and links.
This article walks through Django ORM's advanced query techniques, covering foreign‑key field access, reverse lookups with __set and related_name, double‑underscore cross‑table filters, values and values_list usage, and chaining multiple filter calls for flexible data retrieval.
The author reflects on 2020, detailing DevOps achievements such as automated Jenkins pipelines, Artifactory migration, Python integrations, and Git standards, while outlining personal 2021 goals to improve English speaking, deepen technical learning, and maintain work‑life balance.
This article explains how to create a serverless CAPTCHA recognition service using a convolutional neural network (CNN) in Python, covering CAPTCHA types, data generation, model training, API implementation, front‑end integration, and deployment on Alibaba Cloud with detailed code examples.
This article demonstrates how to use Python's requests, fake_useragent, and lxml libraries to batch‑scrape nearly a thousand new‑house listings from the 惠民之家 website, extracting 41 fields such as name, price, layout, opening date, plot ratio and green ratio, while handling pagination and anti‑scraping measures.
This tutorial shows how to add query parameters to an API request using Python's requests library, retrieve JSON data about ISS passes over a location, extract timestamps, and convert them into readable dates.
This guide walks you through installing the jd_seckill Python script, configuring JD.com credentials, setting the purchase time, and executing the tool to automate Moutai flash sales, including environment setup, required dependencies, and step‑by‑step usage instructions.
Learn how to design a simple book management database, define Django models for authors, publishers, books and their many‑to‑many relationships, and perform common ORM operations such as retrieving all records, filtering with conditions, using first(), get(), and inspecting the generated SQL.
This article explains why the Flask‑Redis extension cannot switch Redis databases, describes the underlying limitation of redis‑py, and provides a Python class library that enables dynamic database selection, data push/pull, and clean connection handling for Flask applications.
This article explains the concept of the goto statement, why it is generally discouraged, and demonstrates how to install and use the third‑party goto‑statement package in Python to write loops and jumps with example code, while advising limited usage.
This tutorial explains how to create a Python‑based eBPF tool using the bcc framework to trace MySQL Group Replication's apply_data_packet function, covering environment setup, BPF program writing, attaching probes, and displaying real‑time thread and timestamp information.
This guide walks you through thirteen indispensable PyCharm plugins and built‑in features—ranging from shortcut helpers and Vim mode to Jupyter notebooks, code profiling, and REST testing—showing how each tool can streamline Python development and improve coding efficiency.
This article explains Python’s memory management by exploring how objects and references work, demonstrating reference counting, the role of the id() function, the impact of object caching, and how Python’s garbage collector handles reference cycles through generation-based collection.
This article explains the concept of coroutines, compares them with ordinary functions, shows Python code examples of yielding and resuming execution, illustrates their historical background, and describes how they are implemented using heap‑allocated stack frames to achieve lightweight, user‑level concurrency.
Using publicly available statistics from the National Bureau of Statistics, this article visualizes and analyzes China’s divorce rates over the past decade, comparing national trends, provincial variations, and city-specific patterns such as Beijing versus Shanghai, revealing a steady increase and regional disparities.
This article explains socket fundamentals and walks through creating a simple UDP‑based chatroom in Python, covering basic socket creation, common methods, a straightforward server‑client example, and an enhanced multi‑user implementation with full source code and execution details.
This article demonstrates how to use Python's zipfile module to open and extract password‑protected ZIP archives, explains the required parameters, shows successful and failed extraction attempts, and provides a simple brute‑force script that iterates numeric passwords to recover the archive's contents.
This tutorial explains how to analyze the Mayi short‑rent website, overcome its anti‑scraping defenses by setting appropriate Cookie and User‑Agent headers, and use Python's urllib2 and BeautifulSoup to extract rental details, store them in CSV, and optionally employ Selenium.
This article explains how to control request frequency in Python using the ratelimiter library for synchronous and asynchronous code, and introduces SlowAPI as a flexible solution for FastAPI and Flask, helping backend developers reduce server load and protect APIs from abuse.
Learn how to generate cinematic ghosting effects in videos by leveraging PaddlePaddle’s PaddleHub deep learning library and the pretrained deeplabv3p_xception65 model for semantic segmentation, with step‑by‑step code, environment setup, and practical testing on classic martial‑arts footage.
This article explains the concept, syntax, and practical examples of Python decorators—including function decorators, class‑based decorators, multi‑layer decorators, and class‑as‑decorator patterns—providing clear code snippets and execution results to help readers master decorator usage.
Learn step‑by‑step how to install Miniconda on Ubuntu, transfer the installer via WinSCP, configure the base environment, avoid common pitfalls, and use essential conda commands to create, activate, deactivate, and manage Python virtual environments and packages.
The TIOBE Index for December 2020 shows C retaining the top spot while Java, Python, C++, and C# follow, highlights rapid growth for Python and several emerging languages, and presents detailed charts of top‑10 trends, other rankings, historical data, and annual award histories.
This tutorial explains how to use Python's requests, lxml, and urllib libraries to search Baidu Tieba by keyword, bypass anti‑crawling measures, extract image and video URLs with XPath, and save the media files locally, complete with code examples and screenshots.
This article introduces twelve popular open‑source Python frameworks—including Django, Tornado, Twisted, Pulsar, Bottle, Diesel, NumPy, Scrapy, Cubes, Falcon, Web2py, and Zerorpc—detailing their key features, typical use cases, and providing direct project URLs for developers seeking robust solutions.
This article introduces the fundamentals of XPath syntax, common rules, and example expressions, then explains how to use the lxml library in Python for HTML/XML parsing, including practical tips and a complete code example for extracting links and text from a sample document.
The article presents an updated, annotated image of Python 3 code that consolidates core language concepts—such as variables, control flow, functions, and basic object‑oriented usage—to help readers quickly review and reinforce their understanding of Python syntax.
This tutorial shows how to use Python to fetch data from Bilibili’s “马保国” channel via its public API, extract video metadata, clean and visualize 14,000 records, and generate insights such as top‑viewed videos and a comment word cloud.
This article introduces the powerful cross‑platform psutil module, explains how to install it, demonstrates basic commands to list processes, retrieve CPU usage, and explore various useful methods, all illustrated with clear code snippets and screenshots.
GraphScope, an open‑source one‑stop platform from Alibaba DAMO Academy, unifies interactive queries, graph analytics, and graph learning on massive, rapidly evolving graphs, offering high‑performance distributed memory management, Gremlin optimization, and seamless Python integration to tackle real‑world AI and big‑data challenges.
This guide walks you through everything needed to start automating web tests with Selenium, covering required tools, browser choices, Python installation, driver setup, essential plugins like FireBug, IDE options, and a sample script to launch Firefox and open a webpage.
Learn how to enhance Python debugging using the PySnooper library, covering quick installation, simple examples, advanced features like output redirection, variable watching, depth control, thread info, custom representations, and remote debugging tips, all illustrated with clear code snippets and screenshots.
This guide walks through setting up a Python environment, installing required libraries, capturing the Minesweeper window, extracting tile colors, converting the board into a matrix, and implementing a basic algorithm that flags mines and clicks safe squares, all automated via Win32 API calls.
This article explains the fundamentals of linear regression, including regression formulas, loss functions, and error metrics, and provides complete Python code using scikit‑learn to perform both simple and multiple linear regression on the Iris and Boston housing datasets, along with model evaluation and visualization.
This article introduces Python's built‑in time modules, explains why third‑party libraries like DateParser, Dateutil, and Arrow are needed for unconventional date formats, and demonstrates how to use them—including code examples—to split time ranges by month or week for robust data export tasks.
Although Python is slower than C, Java, or JavaScript for CPU‑intensive tasks, several projects—including PyPy, Pyston, Nuitka, Cython, and Numba—offer distinct approaches such as JIT compilation, LLVM back‑ends, or C conversion to significantly improve Python’s runtime performance.
This article explains the differences between naive and aware datetime objects, how Django sets the TZ environment variable, the behavior of datetime.now, timezone.now, and related Python functions, and provides practical guidance for storing and converting timestamps in Django applications.
This guide walks through setting up a CentOS 7 server, creating a non‑root user, installing Python 3, MySQL, and required packages, configuring a Django project, and deploying it with uWSGI behind Nginx for production use.
This guide shows how to create a custom Scrapy command to launch every spider at once, separate each spider's settings for better modularity, and resolve video download problems by adjusting request headers and handling file saving correctly.
The article surveys ten Python visualization libraries—from the classic matplotlib to newer tools like Plotly and Gleam—detailing each library’s main features, typical use cases, developer information, and where to find further documentation, helping readers choose the right tool for their data projects.
Learn how to build a Python web scraper that extracts iQIYI movie titles, actors, and scores, parses the data with regex or BeautifulSoup, displays results in a Tkinter GUI with a combobox, and saves the information to a file—all explained with code snippets and screenshots.
This article demonstrates how to crawl 6,025 Beijing Dank Apartment listings using Python, clean and enrich the data with Pandas, and visualize distribution, price, size, floor, and subway proximity through charts, revealing key market insights and correlation patterns.
This tutorial explains the fundamentals of Python logging, covering when to log, the standard log levels, simple console and file examples, multi‑module logging, variable interpolation, message formatting, date/time handling, and advanced concepts such as loggers, handlers, formatters, configuration methods, and best practices for library developers.
This article explains why identical integers and short strings may reference the same object in Python, how the small‑integer cache and string interning work, and how compilation units and constant pools affect object identity across interactive sessions and script files.
Learn how to use Python’s built-in urllib library for web requests, handling GET/POST, adding headers, managing proxies, processing cookies, handling errors, parsing URLs, and respecting robots.txt, with clear code examples and a practical case of scraping a novel site.
This article lists essential Python standard libraries and popular third‑party packages, explains their primary functions, and provides concise code examples for modules such as datetime, zlib, and sys to help developers quickly understand and apply them in their projects.
This guide shows how to create a Python 3.7 Socket.IO client script for testing socket interfaces, including installation of the python‑socketio package, handling authentication tokens with tools like Postman, and a complete example script with repository links for reference.
This article explains how to locate Weibo comment APIs, work around rate limits by using the mobile site, extract required parameters, and implement a Python script that handles cookies, pagination, emoji cleaning, deduplication, and scheduled execution to collect comments efficiently.
This guide demonstrates how to install PyMySQL, connect Python to a MySQL database, create tables, perform CRUD operations, manage transactions, and handle errors, providing complete code examples and explanations for each step.
A Tidelift analysis of over 6,000 developers reveals that JavaScript, Python, and Java dominate modern software projects, with detailed usage percentages, team size trends, and comparisons to other language rankings, offering valuable guidance for technology decisions.
This tutorial explains how to count word frequencies using Python's collections.Counter from static, random, or file‑based text sources and then visualize the results with the WordCloud library, covering code examples, parameter settings, and available colormaps.
FrankMocap, an open‑source AI algorithm from Facebook AI Research and HKU, delivers simultaneous 3D full‑body and hand pose estimation from a single monocular video, runs at about 9.5 FPS on a RTX 2080, and includes easy installation steps, code examples, and links to its GitHub repository and paper.
