This article explains how to structure Python projects so that configuration can be cleanly switched between development, testing, staging, and production environments using packages, __init__.py tricks, environment variables, and dynamic imports, following principles from the Twelve‑Factor App.
This guide shows how to fetch financial time‑series data from Quandl using Python, store it in pandas, explore it with head/tail, and create line, volume, and candlestick visualizations with matplotlib, including code snippets and best practices for API keys and date handling.
This tutorial shows how to capture the network packets of the Super Course Table Android app, log in by sending the required headers and encrypted credentials, and continuously fetch user‑generated topics using Python's urllib2 and JSON parsing, enabling infinite scrolling data extraction.
This tutorial demonstrates how to use Python's xlwings library to programmatically create, save, list, rename, print, and split Excel workbooks and worksheets, providing practical code examples for automating common spreadsheet tasks and improving workflow efficiency.
This article dissects Python’s standard pdb module, explaining its pure‑Python implementation on top of bdb and cmd, the event‑driven tracing mechanism, core debugging commands such as step, next, continue, and how MNN Workbench embeds these capabilities for mobile AI development.
This article demonstrates how to create a Python web crawler that fetches Baidu Baike entries, covering the main program structure, URL manager, page downloader, HTML parser using BeautifulSoup, and output generator, with complete code snippets and sample results.
This article presents five beginner-friendly Python projects— a command‑line Rock‑Paper‑Scissors game, a random password generator, a dice‑rolling simulator, an automatic email sender, and an alarm clock—each with clear objectives, implementation tips, and complete source code examples.
This article explains how Python's launcher and shebang lines can be used on Windows and Linux to select specific Python interpreter versions, covering installation, configuration, and command‑line examples for running scripts with Python 2.x or 3.x.
The article explains why fixed sleep calls are inefficient for asynchronous operations, introduces polling as a flexible alternative, provides Python code examples with the polling library, discusses advantages and disadvantages, and presents decorator and generic‑function abstractions for reusable polling logic.
This article describes how to build a Python web crawler that automatically generates numeric URLs, checks their validity, extracts download links for TV dramas from cn163.net, saves them to text files, and discusses practical challenges such as regex parsing, filename restrictions, and multithreading performance.
This article provides a Python tutorial that explains how to generate Eastmoney‑specific security IDs, request minute‑level K‑line data for a given stock code via the Eastmoney API, process the response into a pandas DataFrame, and continuously fetch and save data until market close.
This article explains the mathematical concept of 2‑D convolution, demonstrates its use for image filtering with examples such as blurring and Sobel edge detection, introduces artificial neural networks and back‑propagation, and details the design, training, and performance of convolutional neural networks for tasks like Sobel filter learning and MNIST digit recognition, including full Python code examples.
This comprehensive tutorial translates the official Pandas documentation into Chinese, then walks readers through DataFrames, Series, indexing, I/O operations, data manipulation, string handling, merging, and advanced tips, providing clear code examples for each concept.
Through a detailed case study, the author documents the process of optimizing a Python‑based web module—identifying bottlenecks, redesigning architecture with Redis queues, tuning MySQL, adjusting Linux TCP settings, and iteratively load‑testing until achieving 50,000 QPS with sub‑70 ms latency and zero errors.
This article explores Python’s underused singledispatch feature from PEP 443 as a clean, extensible way to serialize arbitrary objects to JSON, comparing it with traditional json module approaches and showing how it avoids cumbersome if‑elif‑else logic while keeping classes untouched.
IEEE Spectrum’s 2021 programming language ranking, based on eight online data sources and eleven metrics, lists the top 55 languages, highlights a stable top five with Python leading, and reveals notable shifts such as C#’s rise to #6 and HTML entering the top ten.
The article demystifies AI by explaining that current artificial intelligence is merely automated computation, then walks through fundamental machine‑learning concepts such as exhaustive search, linear regression, neural‑network neurons, activation functions, network structures, training calculations, and concludes with a Python implementation of a three‑layer neural network.
This article explains how to generate low‑quality audio samples from clean speech by randomly inserting noise at various SNR levels, compute objective PESQ scores as ground‑truth, and use these paired data to train a neural‑network model for reference‑free audio quality assessment.
This tutorial explains how to install Allure‑pytest, create a simple Dianping search test case, generate the default report, and progressively enhance it with custom titles, detailed steps, fixture‑based setup/teardown, hierarchical features, severity levels, and rich HTML descriptions, all using Python code snippets.
This tutorial shows how to install the Python Mammoth library and use its command‑line interface or Python API to transform .docx Word documents into HTML web pages or Markdown files for easy sharing and publishing.
This article provides a comprehensive, step‑by‑step guide to the Scrapy web‑crawling framework, covering its core components, installation methods, project layout, spider creation, data extraction techniques, pagination handling, pipeline configuration, and how to run the crawler to collect and store data.
Learn what QR codes are, how to install the Python qrcode library, create simple and advanced QR codes with customizable parameters, and decode them using OpenCV, all with clear code examples and practical tips for safe usage.
This guide explains how to set up and use Microsoft Terminal and Visual Studio Code on Windows for Python development, covering installation, configuration, code editing, debugging, testing, and Git integration to create a smooth and productive workflow.
Zheng Lin‑kai’s record‑breaking Tetris AI for the Tencent Geek Challenge combines a two‑layer breadth‑first search—stage‑level pruning in Python and fast round‑level BFS in C++—with a heuristic that rewards high score, low occupied cells, and smooth board transitions, enabling a 1,413,876‑point performance.
This tutorial demonstrates how to capture network packets from the Super Schedule Android app, perform a login request with required headers, and repeatedly fetch and parse topic data using Python urllib2 and JSON handling, enabling infinite scrolling of user‑generated topics.
This tutorial walks you through using Python Selenium to automate QQ Music, scroll through the infinite‑scroll comment section, extract user avatars, names, timestamps and comment text, save the data to CSV, and finally visualize the comments with a word‑cloud image.
This tutorial walks through creating a stock sentiment analysis pipeline in Python by scraping news from a financial website, applying Baidu AI's sentiment API to classify headlines, aggregating positive and negative ratios per stock, and visualizing the results with matplotlib.
This article walks through using reinforcement learning with a Deep Q‑Network in PyTorch to train an AI agent that plays the 2048 puzzle game, covering environment setup, algorithm implementation, network design, and a short training run that achieves a score of 256.
This tutorial introduces Python's built‑in Turtle module, explaining how to draw basic shapes, control movement and rotation, set colors, use loops, define functions, handle events, and create simple animations, providing complete code examples for each concept.
This guide demonstrates how to use Python's Scapy library to extract IP addresses from PCAP files, sniff usernames and passwords from mail traffic, discover live hosts via SYN packets, launch MAC address table flooding attacks, and conduct ARP spoofing for man‑in‑the‑middle attacks, providing complete code examples.
This article presents a collection of practical Python techniques, including variable swapping without a temporary variable, using dictionary and set comprehensions, leveraging the Counter class for counting, pretty‑printing JSON, solving FizzBuzz concisely, inline conditional expressions, list slicing, dictionary get method, and generating combinations with itertools.
This article introduces You-Get, a Python‑based command‑line tool for downloading videos, audio, images and subtitles from many sites, explains how to install it, shows its key options, demonstrates format‑specific downloads, playlist handling, proxy usage, and cookie‑based authentication.
This tutorial demonstrates how to use Python's turtle module to programmatically draw a detailed Minion character by defining functions for each body part and assembling them with precise turtle commands.
This step‑by‑step guide shows how to install the MyQR library, import it in PyCharm, and create plain, image‑based, and colorized QR codes using simple Python code snippets, plus an overview of all available parameters.
This article walks readers through recreating the original Python alien‑invasion game, then details a step‑by‑step overhaul that adds a polished UI, scalable monster mechanics, multiple maps, and an in‑game shop, complete with code snippets and visual examples.
This tutorial demonstrates how to analyze pandas memory consumption, downcast numeric columns, convert object columns to categoricals, and specify optimal dtypes when reading CSV files, achieving a reduction of nearly 90% in DataFrame memory usage while preserving full analytical capabilities.
This tutorial explains how to build a Python alarm clock that plays a sound, uses text‑to‑speech for voice alerts, and optionally sends an email via QQ SMTP when the alarm triggers, providing full source code and step‑by‑step instructions.
A programmer needed to create a billion‑row SQLite test database within a minute, found a naïve Python script unbearably slow, applied batch inserts and SQLite PRAGMA tweaks, then compared CPython, PyPy, and Rust implementations, ultimately achieving sub‑minute runtimes with Rust and highlighting best‑practice optimizations.
This guide explains how to prepare Haar and LBP data, use OpenCV's CascadeClassifier and detectMultiScale functions, and run a complete Python script that captures video, detects faces, draws bounding boxes, displays results, and saves detected frames.
This article presents a collection of concise Python one‑liners—ranging from creating 2‑D lists and clamping numbers to generating Fibonacci sequences and converting strings to snake_case—each explained with clear code examples and practical use cases for everyday programming tasks.
This tutorial shows how to use Python to scrape GIF images, automatically generate romantic messages, obtain AI‑generated replies, and send the whole package as an email through a 163 SMTP server, providing a complete, runnable example.
This article introduces the fundamentals of face detection using Python's OpenCV library, explaining the underlying concepts of computer vision and providing a complete, step‑by‑step script that loads an image, converts it to grayscale, detects faces with a Haar cascade, and visualizes the results.
The article investigates why Python's built‑in json.dumps can be slow on large data structures, compares the performance of ujson, python‑rapidjson, simplejson, and the Rust‑based orjson, provides benchmark code, installation commands, and discusses a bug in ujson's indent handling.
This article explains a systematic process for evaluating and selecting the most suitable high‑performance JSON library for Python, covering the need assessment, benchmark definition, filtering by additional requirements, and detailed benchmark results that highlight orjson as the fastest option for small‑message encoding while discussing trade‑offs such as safety, customizability, and ecosystem support.
This article guides readers through downloading Haar cascade files for face detection using OpenCV, including code examples and step-by-step instructions.
Replit introduces replit.web, a Python framework that streamlines server launch, persistent storage with Repl DB, and user authentication via Repl Auth, allowing developers to create full‑stack applications with minimal code and effort.
The article explains how Python's functools.singledispatch (PEP 443) provides a clean, extensible way to serialize arbitrary objects to JSON, avoiding custom default functions or subclassing JSONEncoder, and discusses alternatives, pitfalls, and related tools such as zope.interface and attrs.
The 2021 State of Data Science report shows how COVID‑19 has impacted investment, highlights Python's dominance, examines automation's growing role, and reveals corporate attitudes toward open‑source contributions, offering data‑driven insights for professionals and educators alike.
This article presents a curated collection of 100 frequently used pandas functions, organized into six categories—statistical aggregation, data cleaning, data selection, plotting and element‑wise operations, time‑series utilities, and miscellaneous helpers—providing concise Chinese explanations for each function’s purpose.
This article introduces Python's pandas library as a powerful open‑source alternative to MATLAB for data modeling competitions, covering basic, intermediate, and advanced functions—including data I/O, inspection, logical filtering, visualization, aggregation, and integration with tqdm for progress tracking—complete with code examples.
This article explains what time series databases are, introduces InfluxDB as the leading TSDB, describes its TICK architecture and storage engine, provides step‑by‑step installation and configuration of InfluxDB and Telegraf, demonstrates visualization, JMeter integration, and Flux queries in Python, and highlights the rapid market growth of TSDBs.
This article introduces ten Python visualization libraries—matplotlib, Seaborn, ggplot, Bokeh, pygal, Plotly, geoplotlib, Gleam, missingno, and Leather—detailing their origins, key features, strengths, and typical use cases for creating static and interactive charts across various domains.
This article presents a lightweight framework for constructing, collecting, and visualizing Android startup task information, replacing heavy systrace data with concise logs, Kotlin data structures, AspectJ instrumentation, and Python scripts that generate readable timelines and discrete charts to aid performance analysis.
This article introduces the Python filestools library, demonstrating how to install it and use its four core utilities—tree‑style directory listing, text file diff comparison, image watermarking, and converting cURL commands to requests code—complete with command‑line and Jupyter examples.
This article documents a step‑by‑step performance optimization of a Python web module, covering requirement analysis, environment setup, load‑testing results, database and TCP bottleneck identification, caching strategies, kernel tuning, and the final achievement of 50,000 QPS with low latency.
This tutorial walks through using Python's Selenium to automate scrolling and extract QQ Music hot comment data—including user avatars, names, timestamps, and content—then saves the information to CSV and creates a Chinese word cloud for visual analysis.
This article explains how to create a Windows desktop reminder that notifies a friend about overdue debt using Python's APScheduler for scheduling, win32api for pop‑up messages, and PyInstaller to package the script into a standalone executable.
This tutorial walks through designing and implementing a Python desktop music player using PyQt5, covering UI layout, keyword‑based music crawling, multithreaded downloading, playback controls, volume adjustment, and various playback modes such as sequential, random, and repeat.
This guide walks you through installing pymysql, creating a MySQL database and table, connecting Python to MySQL, and performing full CRUD operations—including bulk inserts, updates, deletions, and queries—complete with code examples and screenshots.
This article explains how Python stores object attributes in layered __dict__ structures, distinguishes class and instance attributes, demonstrates attribute lookup, shows how to modify attributes directly or via property, and introduces dynamic attribute creation using __getattr__ and related special methods.
This article walks through creating a full‑featured desktop music player using Python 3.6, PyQt5 for the GUI, and requests for web scraping, covering environment setup, dependencies, key functionalities, technical challenges, and a reflective conclusion on the development experience.
This tutorial walks through setting up a Python environment, installing libraries, creating and editing Word documents with python-docx, converting files and generating PDFs using win32com, extracting Excel data with xlrd, visualizing scores with matplotlib, and automating batch document generation with docx-mailmerge.
This article provides a comprehensive Python tutorial covering how to send GET and POST requests, handle HTTPS verification, perform file uploads and downloads, set request timeouts, use basic and token authentication, manage sessions, generate signatures, and organize a test automation framework with configuration, common utilities, test data, test cases, reporting, and execution scripts.
This tutorial walks you through using Python's requests library to inspect Kugou Music's web requests, simulate them, extract MP3 URLs, and download songs, covering preparation, goal setting, implementation steps, and a concise project summary.
This comprehensive tutorial introduces Pandas—the powerful Python library for data manipulation and analysis—covers installation, data import, inspection, cleaning, indexing, selection, sorting, grouping, transformation, statistical functions, visualization, and exporting, all illustrated with clear code examples and visual outputs.
This article explains the difference between assignment, shallow copy, and deep copy in Python, shows code examples, visual diagrams, and discusses why shallow copy is the default due to its speed, memory efficiency, and typical use cases.
This tutorial demonstrates how to programmatically log into a website by handling cookies, fetching and solving captchas, and posting the required form data using Python's urllib2 and cookielib modules, with a complete example targeting a school academic system.
This guide shows Windows users how to quickly access a Linux environment using the built‑in WSL feature, Cygwin, and MinGW, providing download links, installation screenshots, and tips for configuring Python and other tools without heavy virtual machines.
This guide explains how to install the MySQL driver for Python, establish a connection to a MySQL database using MySQLdb, execute queries, and optionally use ORM libraries such as SQLAlchemy or Peewee for higher‑level database interactions.
This tutorial demonstrates how to use OpenCV in Python to read an image and draw basic shapes such as rectangles and circles by specifying coordinates, dimensions, colors, and line thickness, then display the edited image in a window.
This article introduces pipenv, explains its concepts, installation methods, virtual environment creation, package management, and commands for handling dependencies, generating Pipfiles, and removing environments, providing a comprehensive tutorial for Python developers in practice.
This article demonstrates how to use Python's OpenCV library to read an image, display its original dimensions, resize it to a specified size, save the resized image, and handle user input to close the display windows.
This tutorial introduces Python's turtle module, showing how to set up the canvas, control the drawing pen, and use a wide range of basic commands—including movement, drawing shapes, and screen management—to create graphics quickly and efficiently.
This tutorial walks you through analyzing a JavaScript‑driven website, discovering the hidden API, configuring request headers with Postman, and writing a Python scraper that extracts book titles, authors, codes, and prices from epubit.com.
This article explains the three commonly used color spaces in computer vision—grayscale, BGR, and HSV—detailing their characteristics and typical applications, and provides a Python OpenCV code example that converts an image to grayscale and displays both the original and processed images.
Ansible, a rapidly popular open‑source automation tool built on Python, simplifies batch system configuration, program deployment, and command execution with thousands of built‑in modules, offering a beginner‑friendly yet powerful solution for modern operations teams.
This tutorial explains the concept of facial recognition, describes how it works, and provides step‑by‑step instructions and code examples for implementing face detection and identification using OpenCV and Python, including installation, basic image handling, and a complete sample script.
This tutorial introduces the Rich Python library, covering its cross‑platform compatibility, installation steps, enhanced print functions, custom console usage, logging, tables, progress bars, markdown rendering, syntax highlighting, and traceback formatting, all illustrated with clear code examples and screenshots.
This article explains how to use Python's built‑in winreg module to explore, read, write, create, delete, and manage Windows Registry keys and values, including remote connections, access rights, data types, and a practical example with 360 Security Guard.
This article explains the background of China's 211 university project, lists the 116 institutions across six tiers, and provides a complete Python script that uses geopandas, matplotlib, and animation to create an interactive map showing the geographic distribution of these top universities.
This article explains how to build a simple Python probe that measures function execution time by leveraging sys.meta_path import hooks and sitecustomize, providing step‑by‑step code examples, command‑line wrapper, and discussion of automatic module loading for profiling purposes.
This article walks through creating a Python desktop demo that uses Youdao's OCR translation API to batch‑process cosmetic product label images, covering API credential setup, request parameters, signature generation, core code snippets, and a summary of the translation results.
Using Python, the author collected and visualized Douban and Weibo comments on the film “Chinese Doctor,” showing rating distributions, keyword word clouds, and fan sentiment, and compares the 2021 movie with the 2019 documentary to illustrate audience perception of the pandemic drama.
This comprehensive guide introduces Scrapy's architecture, explains its core components and data flow, teaches XPath fundamentals, walks through installation, project creation, spider coding, item and pipeline definitions, middleware customization, pagination handling, and essential settings for effective Python web crawling.
This article explains what coroutines are, compares them with threads, outlines when to use them, introduces the async‑capable httpx library, shows installation and sample code, and demonstrates a performance test where asynchronous requests cut execution time by about 73% compared to synchronous requests.
This step‑by‑step guide shows how to create a Windows‑like Task Manager using Python's Tkinter GUI library and the psutil module, covering project setup, menu creation, button layout, real‑time system metrics, and code snippets for full implementation.
Learn how to automate a web-based Sudoku game using Python's Selenium for data extraction, implement an efficient backtracking and bitwise algorithm to solve the puzzle, and programmatically fill the solution back into the browser, achieving performance improvements from 17 seconds to just over 3 seconds.
This article explains Python's shallow and deep copy mechanisms, demonstrates their differences with code examples, visual diagrams, and discusses when to use each approach, highlighting performance and memory considerations in software development.
This guide walks you through building a free Python Tkinter desktop application that merges multiple PNG or JPG images with background audio into a video using FFmpeg, covering environment setup, GUI design, file handling, log capture, video generation, and preview steps.
This article presents a complete Python‑based seat reservation system that uses PySide2 to build an interactive graphical interface for selecting and booking seats, stores configuration and occupancy data in JSON files, and provides command‑line utilities for checking in, checking out, making reservations, and handling temporary leaves, illustrating both front‑end UI design and back‑end logic in a single project.
This article introduces a free Pandas cheat sheet covering data creation, reshaping, selection, exploration, modification, grouping, and merging, provides direct download links, showcases key functions with images, and explains how to obtain high‑resolution versions for quick reference.
This guide explains how to create an Oracle table with a BLOB column, insert binary files from Python using cx_Oracle by binding a BLOB variable, and later read the stored BLOB back to a file, covering all required SQL and Python code.
This tutorial demonstrates how to write a short Python script that continuously monitors for a USB drive, automatically copies its contents to a specified folder, and then shows how to package the script into a standalone Windows executable using PyInstaller with various options.
This guide walks you through analyzing Toutiao’s Ajax requests, extracting image URLs, and using Python’s requests library to download street‑photo pictures in bulk, complete with code snippets and tips for pagination and future enhancements.
A simple typo when using pip can install a malicious PyPI package that hides cryptomining code, and security researchers have uncovered dozens of such deceptive packages, highlighting the supply‑chain risks of Python's package ecosystem and offering practical mitigation steps.
This article explains how to use Python's built‑in zipfile module and the third‑party rarfile library to extract encrypted archives, handle Chinese filename encoding issues, and implement a brute‑force password search with itertools for arbitrary password lengths.
This article provides a comprehensive Python tutorial covering numeric operations, string conversions, built‑in functions, data structures, class and object mechanics, and a variety of standard library tools such as enumeration, file handling, and JSON serialization.
This guide explains how to combine Scrapy and Selenium to scrape dynamically rendered web pages, covering installation, project setup, middleware configuration, Selenium driver handling, and code examples that demonstrate a complete end‑to‑end crawling workflow.
This tutorial walks you through installing Selenium and ChromeDriver, configuring the environment, and using Python code to automatically navigate Dangdang's bestseller pages, extract book details with pyquery, and save the results into a CSV file for further analysis.
This article provides a comprehensive tutorial on Flask, covering request objects, application and request contexts, lifecycle hooks, blueprint modularization, class‑based and method‑based views, routing techniques, and common HTTP status codes for rapid Python web development.
