This article explains the theory behind variational autoencoders, details their KL‑divergence loss, provides a complete TensorFlow implementation, and demonstrates reconstruction, latent‑space visualization, and novel image generation through sampling and interpolation.
This article explains how to use TensorFlow’s tf.data API to construct high‑performance, flexible data pipelines—from loading images or tensors, applying transformations and data augmentation, to batching, shuffling, caching, prefetching, and feeding the pipeline directly into model.fit for training.
This article introduces the Python libraries memory_profiler and Pytorch‑Memory‑Utils, demonstrates how to measure line‑by‑line CPU memory consumption and GPU memory usage in notebooks and scripts, and explains the additional overhead introduced by PyTorch during model loading.
This tutorial walks through building a TensorFlow 2.0 autoencoder from scratch, preparing the FashionDB dataset, visualizing raw images, projecting them into PCA and t‑SNE spaces, constructing encoder and decoder layers, training the model, and visualizing the resulting latent space to reveal image clusters.
This guide walks you through analyzing a target e‑commerce site, using Selenium to automate searches, extracting product details across multiple pages, handling pagination, parsing HTML with PyQuery, and persisting the collected data into a MySQL database with robust error handling.
This article explains the fundamentals of random forest regression, describes why it outperforms single decision trees for nonlinear or noisy data, defines bootstrapping and bagging, and provides a step‑by‑step Python example using NumPy, Pandas, and Scikit‑Learn’s RandomForestRegressor with data loading, preprocessing, model training, prediction, and evaluation via MSE and R².
The article explains how to keep external API contracts unchanged while replacing a data source by importing all microservice endpoints into Postman, writing pre‑request and test scripts, and optionally using a Python Flask service with deepdiff to automatically compare old and new JSON responses.
This guide provides a comprehensive Vim setup for Python development, covering .vimrc basics, window splitting, code folding, one‑key execution, plugin management with Vundle, auto‑completion tools, syntax checking, color schemes, file navigation, and useful shortcuts.
This article explains how to perform Chinese part-of-speech tagging using the jieba.posseg library in Python, including loading stop words, extracting article content via Newspaper3k, applying precise mode segmentation, filtering, and presenting results in a pandas DataFrame.
The article explains how concurrent updates can cause data loss in high‑traffic scenarios and demonstrates using optimistic and pessimistic locking in PostgreSQL with Python, including EFCore‑style token checks and a retry mechanism via the tenacity library.
This tutorial walks you through creating a fully interactive sales‑data dashboard using Python's Pandas for data handling, Plotly for visualizations, and Streamlit to assemble a sleek web interface, covering data import, sidebar filters, key metrics, charts, and deployment steps.
The article explains why monitoring production ML models is essential to detect data and target drift, describes the open‑source Evidently AI library and its statistical tests, and demonstrates its use on a weather‑forecast example and a plant‑seedling image classification case, including dashboards, code snippets, and visual analysis of drift impact.
This tutorial introduces the Python pyecharts library for creating various map visualizations with Echarts, explains how the code generates HTML files, and provides complete example functions for basic, label‑less, continuous and piecewise visual maps, world and regional maps, plus guidance for using real data.
This tutorial introduces Plotly for Python, showing how to install it, configure offline mode in Jupyter, and create line, scatter, and bar charts with complete code examples and explanations of each visualization type.
This tutorial shows how to crawl the China Meteorological Administration website to obtain today's weather and a six‑day forecast, handle Chinese encoding, extract data with XPath, and save the results into a CSV file using Python's requests and lxml libraries.
This tutorial demonstrates two Python Turtle methods for drawing a festive Christmas tree, providing step‑by‑step code examples, explanations of the drawing logic, and visual results to help beginners learn basic graphics programming in Python.
This article explains practical techniques for improving NLP model accuracy on massive corpora, covering challenges of multi‑field text, word‑embedding choices, a fasttext‑based regression demo with book‑review data, feature engineering tricks, and a comparison with tf‑idf + LASSO.
This article reviews the lack of a standard Python project management tool, compares four popular solutions—CookieCutter, PyScaffold, PyBuilder, and Poetry—detailing their installation, generated directory structures, and build commands, while showing how to use Make, tox, and other utilities for testing and packaging.
This article introduces the concept of signals, explains the features of the Python Blinker library, demonstrates various usage patterns—including named, anonymous, multicast, and topic‑based signals—as well as how to integrate Blinker with Flask for custom and built‑in Flask signals, highlighting advantages and limitations.
This article explains the fundamental differences between threads and processes, the role of Python's Global Interpreter Lock (GIL), and how to use the multiprocessing package—including Process, Pool, Queue, Pipe, and synchronization primitives—as well as an overview of concurrent.futures for high‑level concurrent programming in Python.
This tutorial shows how to extract Kindle eBooks, convert them to HTML, clean the markup with BeautifulSoup, and batch‑translate the content line‑by‑line using DeepL API Pro, producing a bilingual eBook with minimal manual effort.
This article presents a comprehensive collection of over thirty Python programming exercises covering basic algorithms such as bubble sort, mathematical computations, string manipulation, file system operations, and utility scripts, each illustrated with code screenshots to help learners practice and master fundamental coding skills.
AutoX offers a one‑click solution for tabular AutoML by defining feature operators, constructing a searchable feature space, applying efficient feature selection, tuning hyper‑parameters, and performing model ensembling, enabling users with limited ML expertise to automatically generate high‑performing predictive models, as demonstrated on multiple Kaggle datasets.
The December 2021 TIOBE index reveals the top 20 programming languages, highlights notable movements such as Python’s three‑month dominance, Swift’s rise into the top ten, and C# as a strong candidate for the upcoming annual award, while also explaining the index’s methodology and its limitations.
This guide outlines six Python advancement directions—full‑stack development, web scraping, data analysis & mining, AI & machine learning, DevOps automation, and testing—detailing essential skills, typical salary ranges, and how each role fits the modern job market.
This tutorial shows how to load a NAM NetCDF file with xarray, smooth 500‑hPa geopotential height and wind components, compute wind speed using MetPy, and create a Lambert Conformal map with Cartopy that displays color‑filled wind speed, height contours, and wind barbs, finally saving the figure as an image.
This tutorial walks through building a complete Alien Invasion arcade game in Python using Pygame, explaining the modular design of settings, ship, alien, bullet, button, game statistics, and scoreboard modules, and demonstrates how to implement game loops, event handling, collision detection, and scoring logic.
This article demonstrates how to use Python with pandas and openpyxl to automatically generate yearly Excel workbooks, create monthly sheets, and add predefined column headers, turning a manual multi‑minute task into a fast, error‑free process.
This tutorial demonstrates how to use Python on Windows to crawl Maoyan movie rankings, extract details such as title, rating, genre, region, and duration, store them in a CSV file, and then perform comprehensive data cleaning, analysis, and visualization with pandas, matplotlib, and WordCloud.
This article compares PyInstaller and Nuitka for converting Python scripts into standalone Windows executables, discusses their advantages and drawbacks, provides step‑by‑step installation of Nuitka, explains key command‑line options, and demonstrates a practical example that yields a tiny, fast‑building executable versus a large, slow‑building PyInstaller output.
This article summarizes Sam Gross’s nogil project—a Python 3.9 fork that removes the GIL—detailing its design changes, early benchmarks, integration challenges, and the community’s discussion on feasibility, performance, and the roadmap toward a GIL‑free CPython.
This article walks through a complete Python workflow that loads the 20 Newsgroups dataset, preprocesses the documents, vectorizes them with TF‑IDF, groups them using KMeans, reduces dimensions with PCA, and visualizes the resulting clusters, illustrating each step with code and plots.
The article details a TensorFlow pipeline for detecting white‑screen screenshots in a WebView, covering data preparation from labeled image folders, a CNN architecture with preprocessing, training and validation steps, model saving, inference usage, and strategies to mitigate over‑fitting.
This tutorial demonstrates how to use Selenium to crawl short comments from a Douban movie page, extract them via XPath, paginate through results, and finally create a visual word cloud using Python's wordcloud library.
This article presents Python scripts for cracking ZIP file passwords, explains how to fix Chinese filename encoding issues, and provides single‑threaded, multithreaded, and dictionary‑based brute‑force methods with detailed code examples and usage instructions.
A recent analysis comparing 27 programming languages shows that despite Python's popularity, it and Perl consume far more energy than languages like C, C++, and Rust, challenging common assumptions about performance and environmental impact.
This article demonstrates how to collect historical Beijing weather data using Python web‑scraping, clean and transform it with pandas, visualize overall and monthly patterns, and extract insights such as the first winter snowfall each year and annual snow‑day counts.
This article details a step‑by‑step performance optimization of a Python backend service, covering requirement analysis, architecture redesign with caching and Redis queues, load‑testing results, TCP TIME_WAIT issues, and kernel parameter tweaks that ultimately raised throughput to 50,000 QPS with zero errors.
This tutorial shows how to recreate the classic WeChat airplane battle game using Python and Pygame, covering environment setup, player and enemy plane implementation, keyboard controls, bullet collision detection, and includes full source code and screenshots.
This article explains Python's import mechanism in depth, covering modules, packages, __init__.py files, absolute and relative imports, the role of sys.path, import hooks, meta_path finders, path entry finders, module specs, and loader objects, with code examples and practical tips.
This article introduces the high‑performance gRPC framework, explains why it uses HTTP/2 and Protocol Buffers, outlines its core components, and provides a step‑by‑step Python tutorial with environment setup, code generation, server and client implementations, and common application scenarios.
This article walks through the complete process of moving an Oracle database to PostgreSQL, covering the rationale for open‑source and cloud solutions, the three core migration phases, hands‑on demos of AWS SCT, Ora2PG, and a Python‑based data‑replication example, plus performance results.
This article derives the policy‑gradient objective for discrete actions, implements the Monte‑Carlo REINFORCE algorithm in PyTorch, explains the actor‑critic framework, introduces Advantage Actor‑Critic (A2C) versus A3C, and demonstrates their performance on the OpenAI Gym CartPole‑v0 environment.
This tutorial walks through installing the Mayavi library, explains its core mlab module and API, and provides a series of Python code examples—including mesh, points3d, plot3d, imshow, surf, contour3d, and quiver3d—to demonstrate how to create various 3‑D visualizations.
This article walks through scraping Bilibili documentary data with Python, processing it using pandas, and visualizing regional distributions, genre comparisons, yearly trends, episode lengths, popularity metrics, and comment timing to uncover insights about Chinese, UK, and US documentary patterns.
This article introduces the lightweight Python visualization library cutecharts, explains its installation, and provides step‑by‑step code examples for creating line, bar, pie, radar, scatter charts and combined page charts, demonstrating how to customize options such as labels, legends, colors, and inner radius.
This article explains how to automate the replacement of Excel row data into Word templates using Python, offering two approaches—one with python-docx and win32com for .doc conversion, and another leveraging zipfile to edit the underlying XML—complete with code examples and troubleshooting tips.
This article walks through creating a satellite image classification pipeline using PyTorch and a pretrained ResNet34 model, covering dataset preparation, project structure, data loading, model definition, training, validation, loss/accuracy plotting, and inference on new images with detailed code examples and results.
This article introduces the Python NetworkX library, covering its installation via Anaconda, fundamental graph creation, node and edge manipulation, attribute handling, directed and multigraph features, built‑in generators, analysis functions, and visualization with Matplotlib, all illustrated with concrete code examples.
This article benchmarks Python while and for loops, shows that for loops are faster due to fewer operations, demonstrates how built‑in functions like sum and direct arithmetic formulas can achieve orders‑of‑magnitude speedups, and concludes that the quickest way to "loop" in Python is to avoid loops altogether.
This tutorial introduces Kepler.gl, an open‑source geospatial visualization library from Uber, showing how to install it in a Jupyter notebook, create maps, load CSV or DataFrame data, customize charts via the GUI, retrieve configurations, and export the interactive map to HTML.
This article provides a step‑by‑step guide to building, training, and evaluating a custom object detection model using PyTorch Faster R‑CNN on a microcontroller dataset, covering data preparation, configuration, model modification, training loops, loss visualization, and inference on new images.
This article demonstrates how to use Python's Selenium WebDriver to log into Alibaba International, scrape company contact information across multiple pages, save the data to CSV, download product images, and embed them into an Excel file, providing a complete automation workflow.
This guide demonstrates how to use Python on macOS to scrape love quotes, store them, and automatically launch QQ to send a random quote each day, including code snippets and steps to set up an Automator app for startup execution.
This guide explains what Shodan is, why internet‑connected devices are vulnerable, and provides step‑by‑step instructions—including environment setup, API key registration, basic Python searches, and advanced facet queries—to safely explore and analyze exposed devices.
This article introduces the Rich Python library, detailing its cross‑platform compatibility, installation, rich printing, console control, logging, emojis, tables, progress bars, columns, markdown rendering, syntax highlighting, and enhanced tracebacks, all illustrated with code snippets and screenshots.
This tutorial walks you through creating a full‑stack word‑cloud web application using Flask for the backend and Vue for the frontend, covering environment setup, project structure, dependency installation, core code snippets, and how to run and package the app.
This article introduces Python generators, explains how the yield statement creates generator functions, demonstrates usage with example code, compares yield to return, and shows how generator expressions provide memory-efficient iteration similar to list comprehensions.
This article walks through decoding custom font anti‑scraping on a Chinese group‑buying site using Python, covering page fetching, CSS font URL extraction, .woff download, glyph mapping with fontTools, OCR via ddddocr, DOM manipulation with BeautifulSoup, and exporting the cleaned data to Excel.
This article presents all 68 built‑in functions available in Python 3.6.2, categorizes them into twelve groups, and provides clear code examples for each function, helping beginners quickly master essential Python utilities for data types, conversions, mathematics, collections, scope, iteration, and more.
This tutorial demonstrates how to use Python, ADB, and OpenCV to automate gameplay tasks in the mobile game Princess Connect, covering environment setup, device interaction, screenshot handling, image template matching, cropping, and OCR for extracting in‑game information.
This article explains how to create a simple arithmetic expression interpreter in Python by leveraging the PLY (Python Lex‑Yacc) library, covering token definition, lexer implementation, BNF grammar, parser rules, operator precedence, error handling, and a complete runnable example.
This article explains how to use Python's ReportLab library to create highly customized PDF documents, covering basic components like canvas, templates, page headers/footers, and demonstrating single‑column and double‑column layouts with text, charts, images, and tables through detailed code examples.
This article introduces several pandemic‑related open‑source resources—including a nationwide COVID‑19 vaccine record lookup, a tracker for ineffective vaccine distribution, and Baidu's DDParser NLP tool—detailing their purpose, usage, and installation to help developers build better vaccine‑related applications.
This tutorial demonstrates how to crawl approximately 40,000 Maoyan movie reviews for the film “Chinese Doctors,” preprocess the data, and create visualizations such as rating pie charts, city distribution maps, top‑viewer bar charts, and a word cloud using Python libraries like requests, pyecharts, and wordcloud.
This article explains the differences between synchronous and asynchronous calls, describes various I/O models—including blocking, non‑blocking, multiplexed, signal‑driven, and asynchronous I/O—and outlines how event‑driven programming works in Python back‑end frameworks such as Tornado, Twisted, Gevent, and asyncio.
This guide walks through installing Anaconda, Git, and VSCode, configuring the editor UI, keyboard shortcuts, essential extensions, terminal settings, and advanced debugging via launch.json to create an efficient Python development environment on Windows.
This article demonstrates a simpler method to obtain water‑marked‑free Douyin video URLs by inspecting network requests, extracting hidden links, and using a Python script with the jsonpath library to download videos directly, highlighting advantages and remaining limitations.
This tutorial walks through building a simple skiing game in Python using Pygame, explaining the game mechanics, required image assets, and providing the complete source code that handles skier movement, obstacle generation, collision detection, scoring, and rendering in a 640×640 window.
This article walks through a real‑world Python web‑scraping case, explaining the problem, revealing hidden request URLs, showing the complete code, and demonstrating how to retrieve and verify data from Baidu's Aiqicha platform.
This article explains how to troubleshoot fragmented log files caused by the Supervisor process manager on Linux, covering configuration details, log‑rotation constraints, diagnostic commands, and the eventual resolution by restarting the supervisord service.
This guide walks through extracting and reproducing the encrypted parameters required to post chat messages on Laifeng live streams, covering site navigation, packet capture, timestamp generation, signature calculation via JavaScript decryption, and a complete Python script that logs in, builds the request, and sends the comment.
The article examines three key design dimensions of modern AI platforms—programming language choice, runtime environment isolation, and scheduling/resource management—while also discussing challenges in model deployment such as algorithm diversity, resource usage patterns, and architectural generality, proposing Kubernetes‑based solutions and Arrow‑based data sharing to achieve efficient, scalable AI services.
This article reviews the most suitable programming languages for artificial intelligence, explaining why Python, R, Java, LISP, Prolog, C++, Haskell, JavaScript, and Julia excel in AI development and outlining their key advantages and typical applications.
This tutorial shows how to use Python's pyautogui and APScheduler libraries to automatically open WeChat, locate the chat window, type a message, and send it precisely at midnight, providing a practical example of desktop automation and scheduled tasks.
This tutorial demonstrates how to analyze an e‑commerce search page, use Selenium to automate browsing, extract product details across multiple pages, and store the collected data into a MySQL database, providing complete Python code and step‑by‑step explanations.
This article walks you through six Python methods—including two newly added approaches—to automatically combine all sheets from every Excel file in nested folders, saving hours of manual copy‑paste and reducing errors for data‑processing tasks.
This guide walks through using Python's requests and lxml libraries to scrape quotes, authors, and tags from quotes.toscrape.com, parse the HTML with XPath, and store the results in a CSV file, covering request headers, element inspection, and data extraction steps.
This article explains how to build a lightweight Python GUI attendance and random‑selection tool using Tkinter (and optionally PyQt5), covering required libraries, installation steps, interface design, name‑list handling, sequential and random calling modes, and provides the complete source code.
This tutorial demonstrates how to use the Python PyWebIO library to create a web interface for uploading, cleaning, and querying pandas data—adding buttons, displaying tables, and handling continuous input—without writing any front-end HTML or JavaScript code.
This article introduces the concept of signals, explains how the Python Blinker library implements them with named, anonymous, and multicast signals, demonstrates various usage patterns including decorators and receiver checks, and shows how to integrate Blinker with Flask for request‑level event handling.
This article explains what an Abstract Syntax Tree (AST) is, demonstrates how to generate and inspect Python ASTs using the ast module, visualizes them with astpretty, and shows how to compile, evaluate, and transform AST nodes with custom visitors and transformers.
This article provides step‑by‑step Python tutorials for creating classic games—including 2048, Snake, Tetris, and LianLianKan—detailing design principles, core logic, and complete source code using Pygame and Tkinter for learners with basic Python and game‑programming knowledge.
This article explains how to create a panoramic image by detecting SIFT keypoints, matching them with KNN, estimating a homography using RANSAC, and warping and blending two overlapping photos with OpenCV in Python.
This article provides step‑by‑step Python Tkinter tutorials for building three desktop GUI applications—a basic calculator, a simple notepad editor, and a user login/registration interface—detailing design principles, UI layout, and complete source code for each example.
This article introduces Python 3 methods for retrieving various document types—including TXT, CSV, PDF, and Word files—using urllib, regular expressions, and file‑specific processing steps, providing practical code examples and workflow guidance for building effective web crawlers.
This article demonstrates how to collect, process, and visualize Bilibili documentary metadata using Python APIs, pandas, and various plotting libraries, revealing insights into regional distribution, genre trends, episode lengths, popularity metrics, and comment dynamics across Chinese, British, and American documentary collections.
This article reviews four popular Python project scaffolding and build tools—CookieCutter, PyScaffold, PyBuilder, and Poetry—explaining their installation commands, generated directory layouts, build workflows, and how they differ in complexity and feature coverage.
This article walks through a seemingly simple Python input‑eval problem, reveals a hidden bug caused by extra parentheses around input(), demonstrates corrected code and extensive testing, and explains how proper use of eval can safely parse various data types.
The TIOBE Index for November 2021 shows Python retaining the top spot while PHP slips to the lower end of the top ten, highlights notable movements for languages such as Lua, Dart, Kotlin, and provides detailed rankings for the top 100 programming languages along with historical trend charts.
This article demonstrates how to build a Python Selenium script that automatically opens a browser, navigates to Taobao, waits for a specified flash‑sale time, and programmatically selects items in the cart, logs in via QR code, and completes the purchase.
This tutorial walks you through recreating the classic WeChat "Airplane Battle" game using Python and Pygame, covering environment setup, player and enemy plane implementation, keyboard controls, collision detection, and a complete runnable code example.
This tutorial walks through the full Python-based ARIMA modeling process for time‑series analysis, covering data loading, stationarity and white‑noise tests, model order selection, parameter estimation, diagnostic checks, and future forecasting with detailed code examples.
The Python 3.10.0 reference documentation provides a comprehensive guide covering installation, API reference, common questions, standard library details, language reference, and beginner tutorials, offering essential resources for newcomers and experienced developers alike, with downloadable PDFs and QR codes for easy access.
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.
