This tutorial demonstrates how to transform a picture into ASCII art using roughly 50 lines of Python code with the Pillow library, covering image scaling, grayscale conversion, character mapping, and saving the result as a text file while noting environment-specific display considerations.
This article demonstrates how to automate Zhihu login on Windows by analyzing network traffic with Fiddler, extracting required parameters, and implementing a Python script that builds HTTP requests using urllib2, handles cookies, captcha retrieval, and logs the results, complete with sample code and execution screenshots.
This article introduces Python's readability and popularity, then walks through four practical projects—an instant‑tagging tool, a PDF creator using urllib and reportlab, an XML‑driven website generator, and a news‑aggregation utility—explaining their architecture, key modules, and code snippets.
This article demonstrates how to scrape popular song titles and links from NetEase Cloud Music using Python's html5lib parser, covering the challenges of XPath and pyquery selectors, code implementation, encoding fixes, and a complete working example.
At the 2022 Python Language Summit, Sam Gross presented the latest progress on the nogil project, targeting Python 3.9, discussing new lock designs, proposed compiler flags to disable the GIL in Python 3.12, and the potential impact on third‑party libraries and CPython development.
This article introduces Python's functional programming features, covering first‑class functions, callable objects, storing functions in data structures, higher‑order functions, nested functions, lambda expressions, and the use of map, filter, and reduce with clear code examples.
This article presents a complete Python implementation of the classic Gomoku board game with Pygame, explaining the rules, showing a dynamic demo, providing the full source code for the checkerboard logic, AI opponent, rendering, and instructions for running the game on your own machine.
This tutorial explains how to use Python's Matplotlib library to generate common visualizations such as line, histogram, bar, and pie charts, covering the basic workflow, code examples, and function signatures for quick data analysis and reporting.
This article introduces the facility location problem, outlines its key concepts, elements, and objective functions, and demonstrates a practical fire‑station placement case study solved with the Python Pulp library to minimize the number of stations while ensuring response times under 15 minutes.
This guide walks through preparing a PyQt5 project, installing PyInstaller, generating and configuring the .spec file, and using PyInstaller commands to build a standalone Windows executable, including tips for handling console windows and embedding resources.
This article introduces PaddleNLP's UIE tool for open‑domain information extraction, explains its underlying UIE model and ERNIE 3.0 foundation, showcases concise Python code for entity and event extraction, and presents few‑shot and SOTA performance results across multiple IE benchmarks.
This article shares three Python approaches—including step‑by‑step code examples and optimizations—to solve a challenging divisibility problem, demonstrating algorithmic thinking and progressive performance improvements for programmers seeking practical solutions.
Microsoft has recently divided its VS Code Python extension, releasing three independent extensions—Black for code formatting, isort for import sorting, and Jupyter Powertoys for experimental notebook features—each offering LSP‑based support, version checks, and marketplace installation for Python developers.
This article introduces essential Python techniques—including list indexing and slicing, string alignment methods, list and dictionary comprehensions, handling variable-length arguments, and using NumPy for linear‑algebra operations—providing clear code examples and explanations for each concept.
This article introduces eight Python libraries—Open3D, Trimesh, PyVista, Vedo, Pyrender, PlotOptiX, Polyscope, and Simple‑3dviz—detailing their installation, core APIs, and step‑by‑step code examples for visualizing meshes, point clouds, and multidimensional data.
This tutorial shows how to create a Python web crawler that fetches English words, formats them, and automatically emails the list each day using SMTP and a scheduling library, providing a practical solution for daily vocabulary practice.
This article walks through implementing a basic multi‑layer neural network using only NumPy, covering terminology, network architecture, forward and backward propagation, activation functions, loss calculation, parameter updates with SGD, and compares the custom model with a Keras implementation.
After two weeks of research, this guide presents a ranked list of 37 Python web frameworks—detailing their official sites, strengths, weaknesses, and visual overviews—to help developers choose the most supported and suitable framework for their projects.
This article explains how a Google engineer designed and implemented an automated system using Python and Selenium to book gym slots two days in advance, detailing problem definition, requirements, architecture, code snippets, and operational workflow for reliable, headless execution on macOS.
This article explains how to perform precise numeric operations, format numbers, convert between bases, handle complex numbers, work with infinities and NaN, use fractions, manipulate large arrays with NumPy, generate random data, and manage dates, times, and time zones in Python.
This article describes how a Python Flask service was created and integrated with Java to automate the validation of complex Excel‑based mapping rules in a pricing estimator system, dramatically reducing manual effort and improving test speed and accuracy.
This article shares seven practical Python scripts—ranging from a 30‑line Zhihu image scraper and chatbot conversation loop to poetry author classification, lottery number generation, automatic apology letter creation, screen‑capture automation, and GIF assembly—demonstrating how to avoid reinventing the wheel while learning useful automation techniques.
This article describes a Python IoT attendance system that uses 2D face recognition for clock‑in/clock‑out, calculates attendance time, stores records in CSV files, and provides a PyQt5 graphical interface, detailing required environments, core code, and system limitations.
PyScript, a new framework from Anaconda, enables developers to embed and run Python code directly in standard HTML pages, offering first‑class Python support in the browser, seamless integration with JavaScript, package management, and UI components, all built on the Pyodide WebAssembly engine.
This guide presents ten practical pip tips for Python developers, covering installation, upgrades, package installation, batch requirements, uninstallation, dependency freezing, information lookup, upgrade checks, compatibility verification, and local downloading, each illustrated with clear commands and examples.
This article provides a comprehensive guide to creating various wxPython GUI elements—including Frame windows, toolbars, MDI and MiniFrame windows, multiple types of dialogs, and clipboard operations—complete with explanatory text, screenshots, and full Python code examples.
This article provides a detailed walkthrough of Chrome DevTools configuration and usage—including global settings, shortcuts, element inspection, network throttling, and code extraction—to help Python developers efficiently collect web data, with step‑by‑step instructions, screenshots, and code snippets.
A recent benchmark using the pyperformance suite shows that Python 3.11 beta runs up to 64% faster than Python 3.10 on most tests, with an overall 14% speed increase, highlighting the language’s long‑awaited performance improvements.
This article provides a comprehensive overview of PyMuPDF, the Python binding for the lightweight MuPDF library, covering its installation, core features such as page rendering, text and image extraction, PDF manipulation, and detailed code examples for common document‑processing tasks.
This article shows four different Python techniques—using a lambda with filter, a list comprehension, the Counter class, and the built‑in count method—to count how many times the value 1 appears in a list, complete with code examples and explanations.
This article uses a conversational story to explain what it means to listen on a network port, covering TCP vs UDP, binding to specific IPs, reuse‑port options, IPv4 and IPv6 differences, and demonstrates the concepts with multiple Python socket code snippets.
This article explains the purpose and mechanics of Python's with statement, showing how it leverages context managers to replace verbose try‑finally blocks, and demonstrates both class‑based and decorator‑based implementations with clear code examples.
This short tutorial demonstrates how Python's datetime.date object displays differently with __str__ for a readable date string and __repr__ for an unambiguous constructor representation, showing the interpreter’s default use of __repr__ when inspecting objects.
This tutorial explains how to create a Python program that uses OpenCV to take a picture with the computer's webcam at startup, checks network connectivity, constructs an email with the photo attached, and automatically sends it, including setup for Linux auto‑start.
This tutorial demonstrates a complete Python script that uses requests and lxml's XPath to fetch Baidu search result titles and URLs, saves them to a CSV file, and includes sample output screenshots for verification.
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.
