This article introduces Python variables, describing their three components—name, assignment operator, and value—while covering naming rules, common naming conventions such as snake_case, camelCase, and uppercase constants, and explaining the id, type, and value properties with examples.
This tutorial demonstrates multiple pandas techniques—including list comprehensions, str.count, str.findall, and str.extractall—to count occurrences of one or more characters in a Series, handling case‑insensitivity and complex grouping with concise code examples.
This guide demonstrates how to model a ten‑village water‑pipe network as a weighted graph, import the distance matrix into pandas, construct the graph with NetworkX, compute its minimum spanning tree to obtain the shortest connecting pipeline, and visualize the result.
This guide walks you through installing NetworkX, creating weighted undirected graphs, visualizing them with various layouts, computing shortest paths using Dijkstra, and generating minimum spanning trees, all with clear Python code examples.
This article demonstrates a Python implementation of the Analytic Hierarchy Process (AHP), explaining the function, consistency check, and providing example matrices that show both inconsistent and acceptable results with calculated eigenvalues and weight vectors.
This article introduces the open‑source Deepchecks library, explains its core concepts of checks, conditions, and suites, and provides step‑by‑step tutorials for data validation, train‑test validation, and model evaluation to help AI engineers build robust, data‑centric machine‑learning workflows.
This article explains how to use a Python script that continuously pings an external address and automatically logs into a campus web authentication portal via HTTP POST when the connection drops, ensuring the computer stays online for remote access, and provides the full source code and setup instructions.
This tutorial demonstrates how to use Python's ReportLab library to create PDF reports, covering installation, module imports, font registration, and a Graphs class with static methods for titles, paragraphs, tables, bar charts, and images, culminating in a complete script that assembles and builds the PDF.
This tutorial demonstrates how to model and solve a chocolate‑production profit maximization problem using Python's PuLP library, covering decision‑variable definition, objective formulation, constraints, and result extraction in a clear step‑by‑step guide for beginners.
The article presents fourteen basic Python programming exercises—including grade classification, a basketball safety algorithm, series summation, shopping‑card combinations, a number‑guessing game, string handling, a recursive duck‑count problem, complex‑number extraction, expression evaluation, number formatting, and others—each accompanied by complete code examples and sample outputs.
Learn how to model and solve a relay‑team selection problem using Python’s PuLP library, defining decision variables, parameters, objective function, and constraints, then executing the solver to obtain the optimal swimmer‑stroke assignments and total time.
This tutorial demonstrates how to convert a video of a celebrity into an ASCII art video using Python 3.7, OpenCV, PIL, and NumPy, covering tool setup, frame extraction, grayscale conversion, K‑means clustering for brightness mapping, character rendering, and final video assembly.
The author recounts their progression from beginner Selenium script recording to mastering WebDriver element location and a UnitTest‑based automation framework, highlighting challenges like script failures, code redundancy, and real‑world problem solving, and emphasizes continuous learning for effective Python automation testing.
This article describes how to create a Python‑based face‑matching tool that crawls celebrity photos, stores them in a MySQL database, and uses Baidu's AI face‑compare API to identify a person from an uploaded image, presenting the matching results with similarity scores.
This article critiques heavyweight Python threading tutorials, explains why the built‑in map function combined with multiprocessing or multiprocessing.dummy offers a concise, efficient way to parallelize I/O‑ and CPU‑bound tasks, and demonstrates dramatic speed‑ups with real code examples.
This article introduces a wide range of Python libraries commonly used in artificial intelligence, computer vision, and data analysis, providing brief descriptions, performance comparisons such as NumPy versus pure Python, and concise code examples for each library to help readers quickly grasp their core functionalities.
This article demonstrates how to build a hand‑gesture detection system in Python using OpenCV, covering video capture, YCrCb‑based skin detection, contour extraction, and provides the complete source code for reproducing the results.
This article explains the three-step process for constructing differential-equation models, introduces the micro-element analysis method, and demonstrates its application to a hemispherical water-outflow problem, including derivation of the governing equation, solution via separation of variables, and a Python implementation using SymPy.
This article outlines a three‑step process for constructing differential‑equation models, demonstrates it with a Newton cooling problem, derives the governing equation, solves it analytically and numerically using Python’s sympy, and predicts the object’s temperature after 20 minutes.
This tutorial explains how to build a Python program that detects nude images by analyzing skin-colored regions with Pillow, covering project setup, image preprocessing, pixel classification using RGB/HSV/YCrCb formulas, region merging, decision rules, and command‑line usage with optional visualization.
Learn how to overlay successive word‑guess visualisations in a single Matplotlib figure by reusing the figure manager, colour‑coding letters for correctness, and handling Jupyter‑specific output clearing, enabling a Wordle‑style game without generating multiple plots.
This guide explains how to view and modify a file's creation, modification, and access timestamps on Windows using Python's os module, os.utime, and the pywin32 library, including code examples and practical considerations.
This guide explains how to add new rows to a text file—creating the file if it doesn't exist—while ensuring both the incoming data and the combined file contain no duplicate entries, using Python's set operations and appropriate file modes.
This timed programmer quiz combines single‑choice, short‑answer, and coding problems that test a broad spectrum of IT topics—from programming history and algorithms to Linux commands, networking layers, Helm chart concepts, and practical Python and C coding tasks—providing a holistic assessment of technical fundamentals.
This tutorial explains how to install Django with pip, create a new Django project and app, configure essential files, implement a simple HelloWorld view, and run the development server, providing step‑by‑step commands and code snippets.
This tutorial walks through installing OpenCV, selecting an image, converting it to grayscale, inverting it, applying Gaussian blur, and finally combining the results to generate a pencil‑sketch effect, with complete Python code and display commands.
This article explains how PaddleNLP's Universal Information Extraction (UIE) model can dramatically reduce labeling effort and improve accuracy for logistics parcel data extraction, showcasing a five‑sample experiment that boosts F1 by 18 points to 93% and providing a zero‑shot Python example.
This tutorial shows how to merge multiple Excel files using pandas in Python and enhance the process with a live progress bar by integrating the tqdm library, complete with code examples and visual results.
This article compiles a comprehensive, curated collection of popular Python resources—including frameworks, libraries, applications, books, tutorials, interview questions, data‑structure and algorithm guides, and learning tools—suitable for developers at any skill level seeking to deepen their Python knowledge.
The article examines why traditional financial firms largely use SAS for data analysis while fast‑growing internet companies adopt Python, discussing historical legacy, talent availability, stability and precision requirements, credit backing, cost factors, and possible hybrid solutions such as WPS.
This tutorial demonstrates how to generate random product usage data, compute per‑product usage‑duration percentages with pandas, calculate cumulative sums, and create a horizontal stacked bar chart using Matplotlib, offering multiple pandas techniques such as groupby‑value_counts, unstack, and crosstab for clear visual analysis.
This tutorial demonstrates how to use regular expressions and pandas string methods to extract numeric values from Series columns, calculate average years of experience, and convert salary strings into numeric monthly figures for further analysis.
This tutorial explains how to horizontally merge three pandas DataFrames on column A using concat, join, and merge, demonstrates handling missing values, shows iterative merging with itertools.accumulate, and provides practical code snippets for flexible data‑frame combination.
This article demonstrates how to create a customizable QR code generator in Python using the qrcode and Pillow libraries, featuring a Tkinter GUI for inputting text, selecting fill and background colors, and embedding a logo image into the generated QR code.
This article explains how to obtain numerical solutions for ordinary differential equations in Python using SciPy’s odeint function, demonstrates several example problems including a simple ODE, a system converted from a second‑order equation, and the chaotic Lorenz model, and provides complete code snippets.
This article provides a visual guide to using Pandas for data manipulation, covering sorting with sort_values, column selection, grouping with groupby and various aggregations, filtering rows and columns, dropping, joining, merging, pivot tables, melting, stacking, unstacking, and index operations, illustrated with code snippets and screenshots.
This article explains how Python's warnings module issues non‑exceptional alerts, describes built‑in warning categories, shows how to control warning output with filters and actions, and provides practical code examples and command‑line options for managing warnings effectively.
This tutorial demonstrates how to install and import Matplotlib, then provides detailed Python code examples for creating common chart types—including line, scatter, bars, histograms, pie & box plots—using NumPy data, with explanations of key parameters and visual customization options.
This article demonstrates two Python approaches—using high-level requests and low-level HTTPConnection—to fetch intraday stock data from Eastmoney, providing complete code examples, URL discovery steps, and practical tips for data‑mining enthusiasts.
This article explains how Python concurrency can boost program performance, covering multithreading, multiprocessing, the Global Interpreter Lock, thread safety, thread pools, and practical code examples for speeding up I/O‑bound and CPU‑bound tasks.
This article explains how pandas' copy method works with deep and shallow options, demonstrates their effects on mutable and immutable data, and shows how to safely modify DataFrames using Python's copy module to avoid unintended changes to the original data.
This article demonstrates how to use pandas' groupby and diff functions to calculate daily differences for numeric columns within each category, offering four implementation methods—including apply, direct diff, transform, and a custom function—complete with code examples and visual results.
This guide shows how to transform string‑typed date columns into proper datetime objects using pandas' pd.to_datetime, covering basic usage, key parameters, handling various formats, timestamps, and practical code examples for reliable data cleaning.
Python 3.11, slated for release in October 2022, delivers a 10‑60% performance boost over 3.10 thanks to the Microsoft‑backed Faster CPython project, which introduces adaptive specialization, memory‑allocator refinements, and several low‑level optimizations that trade a modest memory increase for faster execution.
This article explains Python's type conversion mechanisms, distinguishing implicit automatic casting from explicit conversion using functions like int(), float(), and str(), and provides multiple code examples demonstrating how different data types interact, the resulting outputs, and common errors such as TypeError.
This article explains Python's comprehension syntax for lists, dictionaries, sets, and tuples, providing clear formats and practical code examples that demonstrate filtering, transformation, and generation of data structures in concise one‑line expressions.
This article provides a detailed tutorial on Apache Airflow fundamentals, Docker-based installation on Windows, Dockerfile creation, container deployment via Docker run and Docker Compose, Airflow configuration, and practical usage of DAGs, tasks, connections, and UI features for data pipeline orchestration.
This article demonstrates six different ways to use Pandas for grouping and ordering the values in a DataFrame column according to their original occurrence order, providing complete code examples, explanations, and visual results for each method.
This article introduces pip, the Python package manager, explains how to check its version, view help, install, upgrade, list, and uninstall packages, manage requirements files, and understand different wheel types, providing essential commands and tips for effective Python dependency management.
This article demonstrates three Python approaches to exchange odd‑indexed and even‑indexed columns in a Pandas DataFrame, providing complete code snippets, execution results, and a concise explanation for each method.
This tutorial explains how to use the open‑source PaddleGAN Wav2Lip model to synchronise any face or avatar with arbitrary speech, covering the underlying AI principles, required installations, and step‑by‑step command‑line usage for creating high‑quality dubbing videos.
This tutorial explains how to create unique, anime‑style avatars from personal photos by leveraging Alibaba Cloud's Vision AI service, covering account setup, AccessKey creation, required SDK installations, Python code for configuring the client, sending requests, and retrieving the generated image URLs.
This guide shows how to download historical Kweichow Moutai stock data from NetEase Finance as a CSV file, handle encoding issues, and use Python's pandas and matplotlib libraries to filter the data and create both volume and OHLC line charts for a selected month.
Learn Python's fundamental control flow constructs—including if, if‑else, elif‑else, for and while loops, continue, break, range, and list comprehensions—through clear explanations and interactive code examples that demonstrate condition evaluation, iteration, and common patterns for managing program logic.
This article introduces Python's built-in functions such as type, len, sum, round, and sorted, explains data type conversion utilities, demonstrates numeric conversions, and provides a step‑by‑step guide to defining and using custom functions with default arguments.
This tutorial walks through building a Windows desktop pet using Python and PyQt5, covering asset preparation, GIF creation methods, project structure, detailed source code explanation, interactive features, and packaging the application with PyInstaller.
This article explains how to bypass HCaptcha verification by leveraging the YesCaptcha service, detailing the required API parameters, Python code for extracting captcha images via Selenium, converting them to Base64, creating a solving task, and handling the solution to automate the verification process.
This article explains how to construct an image duplicate and near‑duplicate detection system, compares five similarity methods (Euclidean distance, SSIM, image hashing, cosine similarity, and CNN‑based feature similarity), provides Python implementations, evaluates them on two datasets, and discusses speed, accuracy, and robustness results.
This article outlines the background, testing strategy, and practical implementation of automated API testing within a large-scale microservice environment, detailing the shift from traditional test pyramids to a honeycomb model, technology choices, test case design, mock servers, platform management, and measures to prevent test suite decay.
This article presents a Python-based tutorial for cartoonizing GIFs and videos using PyTorch models, detailing environment setup, core network architecture, processing functions, and practical results with code snippets and usage instructions, including visual examples.
This article explains how to train a convolutional neural network on a remote GPU for image classification, covering convolution, padding, activation, pooling, dropout, flattening, fully‑connected layers, dataset preparation, model definition, training, and prediction using TensorFlow/Keras.
Recent investigations reveal that the malicious PyPI package “ctx” harvested environment variables, encoded them in base64, and sent them to a Heroku endpoint, while attackers also hijacked the package’s maintainer account via domain takeover, highlighting serious vulnerabilities in PyPI’s package and account security processes.
This tutorial explains how to build a responsive, theme‑switchable real‑time data visualization dashboard using a Python Flask back‑end and ECharts front‑end, covering requirements, architecture, HTML/CSS grid layout, JavaScript chart logic, JSON data handling, and deployment steps.
PyScript, announced by the creators of Anaconda, is a browser‑based Python framework that lets developers embed Python code in standard HTML, call JavaScript libraries, manage environments, and build interactive web applications using familiar Python packages.
This article introduces the classic shortest‑path problem in graph theory, explains major algorithms such as Dijkstra, Bellman‑Ford, Floyd and A*, discusses their strengths and limitations, and demonstrates their application to a city‑ticket pricing case using Python’s NetworkX library.
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.
