This tutorial demonstrates how to use Python's requests library together with BeautifulSoup to crawl Baidu search results, extract titles and URLs, and save the data into a CSV file, providing complete code and step‑by‑step explanations.
This article explains how to convert a TensorFlow image‑classification model to TensorFlow Lite, apply different quantization techniques, benchmark the resulting models on a Raspberry Pi 4, and compare latency, size, and accuracy to demonstrate the trade‑offs of edge AI deployment.
This article provides a detailed tutorial on NumPy array manipulation in Python, covering iteration with np.nditer, reshaping, flattening, transposition, axis swapping, broadcasting, stacking, concatenation, splitting, resizing, appending, inserting, deleting, unique element extraction, string utilities, arithmetic, statistical analysis, sorting, searching, and file I/O, each illustrated with concise code examples.
This article presents four practical Python techniques—including list reversal, variable swapping, in‑function looping, and reducing function calls—that together can shave roughly 10‑20% off your script's execution time.
This article explains how PyScript, an Anaconda‑developed JavaScript library built on Pyodide, enables developers to embed and run Python code in HTML pages, offering a low‑barrier, server‑less approach to frontend development with examples, usage instructions, and future prospects.
This article presents four practical methods—including list slicing, regex, Excel splitting, and lambda‑based eval—to efficiently parse and extract values from template strings in Python, complete with code examples and visual illustrations.
This comprehensive guide explains how Python can interface with C dynamic libraries using ctypes, covering installation, data types, pointer manipulation, buffer creation, DLL loading methods, Windows API calls, and advanced techniques such as structures, unions, arrays, and process control.
This tutorial demonstrates how to use Matplotlib for creating basic line, scatter, histogram, and density plots, customizing colors, legends, axes, and annotations, handling subplots, and generating 3D visualizations such as wireframes, surfaces, and triangulated meshes, with complete Python code examples.
This article presents ten practical Python techniques—including link operators, large number formatting, inline conditionals, list comprehensions, f‑strings, enumerate, argument unpacking, multiple return values, one‑liners, and commenting—to help developers write cleaner, more efficient, and more readable code.
This article introduces five lesser‑known Python standard‑library modules—difflib, sched, binascii, tty, and weakref—explaining their key functions, typical use cases, and providing concise code examples so developers can quickly incorporate these powerful tools into their projects.
This guide explains why Python is essential for mathematical modeling, outlines its key features, walks you through installing Anaconda, and shows how to create and run a simple Python script in Jupyter Notebook, providing a solid foundation for beginners.
This article explains the Unicode mapping between full‑width and half‑width characters, demonstrates simple Python functions for converting between them, and provides a flexible dictionary‑based approach for custom text conversion tasks.
The article explains Python's definition of True and False, compares differences between Python 2 and Python 3, demonstrates how various objects evaluate in Boolean contexts, and outlines the language's truth‑value testing rules and custom object behavior.
This article demonstrates how to use Python, the face_recognition library, and OpenCV/Pillow to automatically detect facial landmarks in CelebA images, generate and align mask overlays, and save both masked and binary mask versions for computer‑vision research and dataset augmentation.
This article walks through a real‑world data‑cleaning task where duplicate process IDs are removed but earlier approval comments are retained, showcasing two pandas‑based solutions, code snippets, and practical tips for handling empty cells.
This article walks through building the first stage of an open‑source MLOps pipeline—data ingestion and storage—by outlining requirements, selecting tools such as Argo Workflows, Minio and Great Expectations, showing how to set up a minikube cluster, and providing Python scripts and an Argo CronWorkflow to extract, transform, and load OpenAQ air‑quality data into Minio.
This article explains how to use Python to convert hundreds of long URLs into short ones and later restore them, covering the rationale for short links, free and paid service options, and providing complete code examples for both shortening and expanding URLs.
This article explains Python decorators by first introducing the concept of closures, then demonstrating basic and advanced decorator implementations—including logging, timing, class-based decorators, and the use of functools.wraps—while also covering decorator execution order and providing annotated code examples.
Python's lambda expressions provide a concise way to create anonymous functions, and this guide explains their syntax, demonstrates simple to complex examples—including arithmetic, conditional logic, and sorting—and compares them with traditional functions and built‑in utilities like filter and list comprehensions.
This article demonstrates how to generate Gaussian noise images in Python using matplotlib, adding both vertical and horizontal colorbars with custom tick labels, and provides complete code snippets for creating the plots and visualizing the results.
This tutorial explains what Sankey diagrams are, shows their main forms, and provides step‑by‑step Python code using Matplotlib and Pyecharts to generate both basic and advanced Sankey visualizations, including tips on data preparation and styling.
Python, a widely used high‑level language, suffers from several critical vulnerabilities—including command injection, outdated versions, insecure temporary files, misuse of assert statements, and import path issues—each explained with practical mitigation strategies to help developers secure their applications.
This article presents a complete Python pygame implementation of a classic 'Plane War' game, detailing background music integration, enemy destruction effects, scoring system, and player controls, and provides the full source code spanning over three hundred lines for readers to study and run.
This article walks through five pandas-based methods—and an optional openpyxl approach—to extract unique date‑hour entries from an Excel file, explaining each technique, its code, and the nuances of handling datetime rounding and duplicate removal.
This tutorial shows how to download NASA GES DISC SO₂ data for the 2022 Hunga Tonga–Hunga Ha'apai eruption, extract relevant fields with H5py, build a Pandas DataFrame, and create both scatter‑plot and time‑varying heat‑map visualizations using Matplotlib, Seaborn and Folium.
This article explains how Python list comprehensions provide a concise, memory‑efficient way to create lists, compares them with loops and map(), shows advanced features like conditional logic, nested comprehensions, set and dictionary comprehensions, and discusses when to avoid them for better readability and performance.
Meituan Search solves costly multi‑language maintenance by building a core C++ library, wrapping it with a C interface, and exposing the functions to Python via ctypes and to Java via JNI or JNA, enabling shared logic, easier packaging, and lower latency on Linux.
This article provides a step‑by‑step tutorial on what Anaconda and Conda are, how to install Anaconda on Linux, manage Python environments, handle packages, configure mirror sources, use Miniconda, the graphical UI, and run Jupyter Notebook, while also discussing their pros and cons.
This article explains Python's list.pop() method, covering its syntax, optional index parameter, error handling, return value, and provides multiple code examples demonstrating removal by specific, default, and negative indices, along with outputs and a brief note on alternative deletion methods.
This article introduces FaunaDB, explains how to create a free account and access key, and provides a step‑by‑step Python tutorial that demonstrates creating a collection and performing all CRUD operations with concise code examples.
This tutorial shows how to calculate upward and downward differences of numeric columns for each category in a pandas DataFrame by sorting, grouping with groupby, and applying diff through several concise methods, including a custom helper function.
This article explores Python's versatile list comprehension feature, comparing it with traditional loops and map() calls, demonstrating syntax, performance benchmarks, advanced usages like conditional logic, set and dictionary comprehensions, nested structures, and guidelines on when to prefer or avoid comprehensions for clear, efficient code.
This comprehensive guide explains what Anaconda is, compares it with Conda, Pip, and Virtualenv, and provides step‑by‑step installation instructions for macOS, Windows, and Linux, along with detailed commands for managing environments, packages, and updates using conda and pip.
This article introduces a practical, step‑by‑step tutorial on building machine learning models with scikit‑learn, covering problem types, dataset loading, splitting, and a series of reusable templates (V1.0, V2.0, V3.0) for classification, regression, clustering, cross‑validation, and hyper‑parameter tuning, complete with code examples.
This guide explains how to create a custom Enterprise WeChat application, obtain the required corp ID and secret, and use a Python script that calls the WeChat API to send text‑card notifications to specified users, departments or tags.
This tutorial shows how to use the AnimeGAN v2 model to convert personal photos into comic‑style avatars, expose the AI service via a Python Bottle API on a Serverless platform, configure deployment with Serverless Devs, and integrate the backend into a WeChat mini‑program for end‑users.
This article provides a comprehensive, step‑by‑step tutorial on using pandas.read_excel, covering its syntax, file handling, sheet selection, header and column name options, additional parameters, and practical tips for efficiently loading Excel data into Python dataframes.
The article examines the challenges of using Python for large-scale projects, highlighting issues such as implicit variable declarations, complex module dependencies, version conflicts, the Global Interpreter Lock, and concurrency limitations, while comparing Python to languages like C, Go, and Java.
This article presents a detailed case study of using AI speech‑recognition techniques—including acoustic modeling with VGG, pypinyin conversion, feature extraction, and CTC decoding—to automatically verify game dialogue audio against script text, outlining the workflow, challenges, implementation details, and experimental results.
This guide demonstrates how to use Appium for automated testing of HarmonyOS applications, covering device connection setup, .hap package installation via HDC, element location strategies, handling logs, and compatibility considerations, providing code examples for developers familiar with Android automation.
An experienced data practitioner shares a concise pandas tutorial that shows how to recompute column aggregates after grouping, using a flexible function that applies arithmetic operations like addition, subtraction, multiplication, or division to the grouped results.
This article demonstrates several practical techniques for stripping dollar signs and commas from string columns in a pandas DataFrame and converting the cleaned values to floating‑point numbers, using plain Python, regular expressions, and pandas‑specific string methods.
This tutorial explains clustering as an unsupervised learning task, outlines why no single algorithm fits all data, and provides step‑by‑step Python code using scikit‑learn to install the library, generate synthetic datasets, and apply ten popular clustering algorithms with visualizations.
This tutorial introduces the Open3D library, shows how to install it, convert depth maps to point clouds, visualize facial point clouds, perform point‑cloud segmentation and clustering, and apply surface reconstruction methods such as Poisson, alpha shapes, and ball‑pivoting using Python code.
This article demonstrates how to retrieve specific values from a pandas DataFrame with a MultiIndex using both straightforward reset‑index methods and native multi‑level indexing techniques such as chained .loc calls, tuple indexing, and level swapping.
This article demonstrates how to use pandas groupby, list aggregation, sorting, deduplication, and explode (or a custom apply function) to retrieve each user's top‑priority tag while preserving other tag columns, comparing two practical implementations and their performance trade‑offs.
This article demonstrates how to conduct various hypothesis tests—including Z‑test, one‑sample and two‑sample t‑tests, F‑test, as well as distribution fitting and outlier detection—using Python libraries such as Statsmodels, SciPy, and pandas on both the Iris dataset and a human temperature dataset.
The article introduces the Python‑based tool “thefuck”, explains its purpose of automatically correcting mistyped shell commands, demonstrates common use cases, details installation steps across macOS, Ubuntu and other systems, shows how to configure it, and outlines the underlying rule‑based correction mechanisms.
This tutorial shows how to combine mitmproxy packet capture and Appium mobile automation in Python to automatically collect and download Douyin video URLs, covering environment setup, code snippets, and practical steps for a fully automated scraper.
This tutorial explains how to create a lightweight Python port scanner using only standard libraries, covering required imports, command‑line host input, a full‑range port loop with socket connections, result handling, and runtime measurement, all within a concise 20‑line script.
This article explains the concept of Aspect‑Oriented Programming (AOP) and demonstrates how Python decorators—both function‑based and class‑based—can be used to implement AOP features such as pre‑ and post‑execution logic, handling arguments, preserving metadata with functools.wraps, and stacking multiple decorators.
This article explains how Windows' event‑driven message system can be leveraged for stable GUI automation, covering window concepts, message queues, message types, and providing Python code examples that use win32gui to click buttons, select menus, and manipulate edit controls without relying on screen coordinates.
This article explains why Python lists are mutable objects, illustrates how passing them to functions or using them as default class arguments can cause unexpected side‑effects, and warns that methods like append and extend modify the list in‑place without returning a new value.
This article compiles over 100 commonly used Python functions across twelve topics—from basic I/O and data structures to threading and decorators—providing concise code examples to help beginners quickly recall function names and their purposes for more efficient coding.
This article explains the concept of hashing and hash tables, describes their characteristics and collision‑resolution strategies, showcases practical Python implementations with load‑factor handling and resizing, and highlights common applications such as dictionaries and network session tables.
This tutorial explains how to install the gym and highway‑env packages, configure the simulation environment, process state and action representations, implement a DQN network in PyTorch, and train the model while visualizing performance metrics for autonomous driving tasks.
This tutorial demonstrates how to build a Scrapy spider that crawls Zhihu user follow and follower data via Zhihu’s public APIs, handles request headers, parses JSON responses, paginates results, and stores the extracted information into MongoDB using a custom item pipeline.
This article demonstrates how to use Python, the PyTubes library, and NumPy to load, process, and visualize the massive Google Ngram 1‑gram dataset—over 1.4 billion records—showing performance considerations, data‑cleaning steps, and comparative language trends for Python, Pascal, and Perl.
This guide shows how to use a shell script to check delivery windows, set up AutoJsPro on Android for automated ordering, and run a Python program for Sam's Club, providing practical automation tools for securing groceries during lockdowns.
This tutorial explains how to convert single‑variable and multi‑variable time‑series data into a supervised‑learning format using Pandas' shift() function and a custom series_to_supervised() helper, covering one‑step, multi‑step, and multivariate forecasting examples with complete Python code.
In a live‑stream chat, a middle‑schooler asks whether to start with C or Python, prompting the host to explain why adults should begin with C for deep fundamentals while children benefit more from Python’s simplicity and rapid feedback.
This article walks through a Python coding challenge that sums numbers in a list while ignoring sections that start with 6 and end with the next 9, presenting five distinct solutions—including flag‑based, loop‑based, and recursive approaches—complete with explanations and full code examples.
This tutorial explains how to create a lightweight speech synthesis tool using iFlytek's WebAPI, covering required environment setup, API credential acquisition, GUI design with Tkinter, and detailed Python code for WebSocket communication, audio handling, and WAV file generation.
This article presents a curated collection of Python implementations for widely used robot algorithms—including EKF/UKF localization, histogram filtering, Gaussian grid mapping, various SLAM techniques, grid‑based and sampling‑based path planners, and multiple trajectory tracking controllers—along with usage instructions and visual demonstrations.
This article introduces the Python Requests library, explains how to install it, demonstrates basic HTTP methods such as GET and POST with code examples, and explores advanced use‑cases like handling JSON, binary data, custom headers, cookies, sessions, SSL verification, proxies, timeouts, and authentication.
This article explains why storing JSON strings in Redis is inefficient, compares JSON with binary‑safe formats like MessagePack, evaluates compression algorithms such as ZSTD and LZ4, and provides Python examples showing how to reduce latency and memory usage when using Redis strings.
This article details the design, architecture, key technologies, and deployment of Xiaosi, an AI‑powered intelligent customer service chatbot built on the internal IM platform, highlighting its problem‑diagnosis accuracy, manpower savings, adapter mechanism, high‑availability backend, and practical use cases.
This article explains what HTTP redirects are, why they are used, and how they affect everyday API testing with tools like JMeter and Python's requests library, providing practical examples and guidance on handling redirect behavior.
This article provides a thorough collection of commonly used PyTorch code snippets covering environment setup, reproducibility, GPU configuration, tensor manipulation, model building, data preprocessing, training and evaluation loops, custom loss functions, regularization techniques, learning‑rate scheduling, checkpointing, and practical tips for efficient deep‑learning development.
This article explains Python’s special __new__ constructor, shows how to override it to create singleton and multiton patterns with caching, and demonstrates the impact on object creation, memory usage, and performance through clear code examples.
This article explains how to build a Python-based snake game with both human and AI players, detailing the development environment, core features, AI path‑finding logic using BFS, and providing complete source code for a fully functional AI snake that can compete against a human‑controlled snake.
This article explains why Python, as an interpreted scripting language, does not require a mandatory main function like compiled languages, clarifies common misconceptions about the __name__ == '__main__' guard, and recommends using a simple main.py entry file for clean, idiomatic code.
This article presents a curated list of ten online platforms—including LeetCode, PythonTip, Coding Games, CodeCombat, Checkio, Cyber Dojo, CodeMonkey, Codewars, pythonchallenge, and Python100—offering diverse coding exercises and games to help learners improve algorithmic skills and practice various programming languages.
This article introduces Altair, a simple yet powerful Python library built on the Vega‑Lite JSON specification, explains its declarative syntax, showcases basic and advanced visualizations with code examples, and highlights its advantages for efficient data analysis and presentation.
This guide explains how to handle common compression formats—zip, tar.gz, rar, and 7z—in Python, covering built‑in modules, third‑party libraries, required installation steps, and complete code examples for both creating and extracting archives.
This article presents a full Python pygame implementation of a side‑scrolling runner game, detailing imports, configuration, class definitions for the player, obstacles and background, and the main game loop with input handling, collision detection, scoring and restart logic.
The article explains several typical situations—such as not configuring HTTPS proxies, using server IPs, non‑anonymous proxies, polluted IP pools, and lack of HTTP/2 support—that cause websites to easily detect that a request is made through a proxy, even for beginner Python scrapers.
This tutorial introduces the you-get Python3 media‑download library, shows how to install it with pip, demonstrates basic commands for downloading videos and images, explains options for specifying output paths, renaming files, viewing video information, and selecting formats, and provides practical code examples.
The article explains how to use FFmpeg within Tencent Cloud Serverless functions to build fully automated, scalable, and customizable batch video‑editing pipelines—covering use cases like personalized student highlights, avatar‑based marketing clips, and streamer promos—while detailing deployment via GitHub Actions or manual upload.
This article demonstrates how to automate the creation of Excel pivot tables using Python's pandas library, build a Tkinter GUI for user interaction, and package the solution into a standalone executable with PyInstaller, including steps for managing dependencies and reducing file size.
This article provides a detailed tutorial on Python's time‑related classes and functions, covering Unix timestamps, conversion tools, and the practical use of the calendar, time, and datetime modules with examples of formatting, timezone conversion, and common time‑conversion tricks for everyday programming tasks.
This tutorial walks you through creating a Fruit Ninja‑style game in Python using Pygame, covering required imports, window configuration, random fruit generation, drawing text and lives, handling game‑over screens, and implementing the main game loop with full source code examples.
The article explains how ORM bridges Python objects and relational databases, compares options, and justifies choosing the lightweight Peewee library, then details its workflow—model generation, inserting, updating, deleting, and querying records—showcasing how this approach reduces manual data‑creation time from hours to seconds.
This tutorial demonstrates how to rotate images in Pygame, correct the rotating center, implement boundary collision detection, and enhance the animation with dynamic background colors and multiple leaf objects, providing complete code examples for each stage.
This tutorial demonstrates how to split a master Excel rent ledger into per‑room Excel files, automatically adjust column widths and borders, capture each sheet as an image using xlwings and Pillow, and finally package the script into a standalone executable for distribution.
This article introduces the classic density‑based anomaly detection method Local Outlier Factor (LOF), explains its underlying concepts such as k‑distance, reachability distance, and local reachability density, outlines the algorithm steps, discusses its advantages and limitations, and provides practical Python examples using PyOD and scikit‑learn.
The macOS 12.3 update eliminates the bundled Python 2 interpreter, sparking developer reactions and prompting a discussion of Python’s popularity, its version incompatibilities, and the myriad environment‑management tools like pipenv that aim to tame the language’s historically chaotic setup.
This article walks through a puzzling Python list loop that produces no output, explains why the loop stops early, shows annotated code examples, and presents a second variant of the problem with detailed step‑by‑step analysis to help readers avoid similar bugs.
This article introduces Python's matplotlib 3D plotting capabilities, demonstrating how to create line, scatter, and surface visualizations with step-by-step code examples and animated GIFs that illustrate the impact of parameters such as learning rate and projection settings.
This article explores the AutoPPT system that automates PowerPoint presentation creation by integrating real-time data analysis, reducing manual effort, and enhancing efficiency through a structured workflow from data collection to final output.
This article introduces three Python terminal UI libraries—Curses, npyscreen, and Urwid—explaining their features, showing sample code, and demonstrating how they enable interactive text‑based interfaces on Unix/Linux and, with extra steps, on Windows.
This article introduces Python's turtle module, explains how to import it, configure the pen's speed, color, size, and use drawing functions such as forward, left, right, circle, dot, and goto, and provides several complete code examples for creating simple graphics.
This article walks through three frequent Selenium‑Python automation problems—missing test discovery due to method naming, incorrect URLs that break page data loading, and element‑location failures after window switches—explaining their causes and step‑by‑step solutions.
The article demonstrates how to build a digital twin for lithium‑ion batteries in Python by constructing a physics‑based model, augmenting it with experimental data using a simple Keras neural network, and visualizing predictions, illustrating the hybrid approach’s improved accuracy over purely empirical methods.
This tutorial demonstrates how to use Python's SMTP libraries to programmatically send plain‑text, HTML, and attachment emails, covering SMTP basics, service activation, configuration steps, and complete code examples for each email type.
This article walks through using the requests library’s stream=True parameter in Python to efficiently filter valid URLs during web scraping, presenting two practical methods, code examples, performance insights, and a clear explanation of how stream handling works.
This article explains the purpose of the self parameter in Python classes, using analogies and concrete code examples to show how self represents the instance itself, how it is passed automatically, and how different objects produce distinct self values when methods are invoked.
This article provides a detailed introduction to internal and external sorting, compares the time‑complexities and stability of classic algorithms such as bubble, selection, insertion, shell, merge, quick, heap, counting, bucket and radix sorts, and includes complete Python code examples for each.
This article explains the purpose and behavior of Python's __init__ constructor method, clarifies object-oriented concepts such as classes, instances, and attributes, and provides example code illustrating how __init__ is automatically invoked during object creation to initialize instance properties.
This article explains the common pitfall of deleting elements from a Python list while iterating, demonstrates how the list’s internal pointer causes skipped items, and presents several reliable techniques—such as copying, filtering, and slicing—to safely remove items without errors.
