This article presents a complete Django‑based basketball information management system that implements player data CRUD operations, pagination, and front‑end templates, providing full code examples for view functions, HTML tables, and edit forms to help developers build similar web applications.
This article introduces a free Python certification exam simulator, explains how to download, install, and crack the software, and shows how to use its diverse question sets to assess and improve your Python fundamentals, data‑structure knowledge, and overall coding confidence.
This tutorial explains how to install, launch, and use TensorBoard and Visdom with PyTorch, providing step‑by‑step commands, code examples for logging training metrics, and visualizing images and plots to monitor deep‑learning experiments.
This article explains Python's context manager mechanism, covering the basic with statement, custom __enter__/__exit__ classes, the contextlib.contextmanager decorator, nesting, combining multiple managers with ExitStack, and practical applications such as SQLAlchemy session handling, exception management, and persistent HTTP requests.
This article introduces Python functions, demonstrates how to define and call them, and explores essential time‑related utilities—including time, datetime, calendar, and random modules—through clear explanations and runnable code snippets, helping readers build a solid foundation for practical Python programming.
This article introduces the open‑source Plotly library for Python, showing how to install it, use the cufflinks wrapper with Pandas, and create a variety of interactive visualizations—from simple bar and box plots to scatter matrices, time‑series charts, heatmaps, and themed 3D figures—using just one or two lines of code.
This article demonstrates how to convert traditional scikit‑learn and hmmlearn machine‑learning models into ONNX format and integrate them into a C++ gRPC service for fast online inference, covering environment setup, model conversion, custom operators, performance testing, and end‑to‑end pipeline construction.
This article explains recursive functions, their call mechanics, and demonstrates Python examples for calculating factorials and Fibonacci numbers, highlighting advantages, stack‑overflow risks, and the lack of tail‑recursion optimization in the standard interpreter.
This article analyzes a dataset of over 5,000 Douyin influencers, exploring gender balance, likes, fan counts, comments, shares, content categories, geographic distribution, graduation schools, verification status, and bio word clouds, and provides full Python code for each visualization.
This comprehensive guide translates Google's Python style guide into clear English, covering everything from naming conventions and imports to docstrings, type annotations, and best practices for functions, classes, and modules, helping developers write clean, consistent, and maintainable Python code.
This article explains Python's inheritance mechanism, showing how subclasses can reuse and extend parent class functionality, demonstrates the syntax for single and multiple inheritance, and illustrates method resolution order with clear code examples.
This article explains what variables are, why they’re essential in programming, how to define them in Python, the components of a variable, naming conventions, common pitfalls, and demonstrates both camelCase and snake_case styles with code examples, plus a brief note on constants.
This article explains Python's memory management by exploring how objects are stored, how references and reference counting work, the role of the garbage collector, generational collection, and how reference cycles are detected and reclaimed.
This article explains Python coroutines, their advantages over threads, demonstrates producer‑consumer patterns, introduces the asyncio event loop, shows how to use async/await syntax, and provides examples of asynchronous network requests and a simple aiohttp server for high‑concurrency I/O.
This tutorial walks through a project‑based OpenCV workflow that reads a digit template, preprocesses both template and credit‑card images, extracts individual numbers, matches them against the template, and finally overlays the recognized digits onto the original image, illustrating core computer‑vision techniques.
This article introduces Ryven, a Python visual scripting tool that lets users see each step—from image input and resizing to bilateral filtering—while providing real‑time feedback on matrix operations, data‑flow and execution‑flow modes, and offers a quick setup guide for beginners.
This article explains how Python functions enhance modularity and code reuse, covering their definition syntax, variable scope rules, and both positional and keyword calling conventions with clear examples and code snippets.
This tutorial teaches you how to download files in Python using various modules—including requests, wget, urllib, urllib3, boto3, and asyncio—covering simple downloads, handling redirects, chunked large-file downloads, multithreaded batch downloads, progress bars, proxy usage, and Amazon S3 retrieval.
This article explains Python's class definition, the role of the __init__ constructor, special methods like __repr__, __str__, and __add__, how inheritance and abstract base classes work, and demonstrates using super() for method chaining, providing clear code examples throughout.
This article explains the purpose of Python's pass statement, showing how it acts as a null operation for the interpreter while providing developers a convenient placeholder for unfinished code, and why the language includes it unlike many other programming languages.
This article walks you through creating a Flappy Bird‑style game using Python 3 and the pygame library, covering installation, running the program, visual demos, and a full source‑code listing that includes bird, pipe, stone, and bullet mechanics with level progression and sound effects.
This article explains Python's memory management, covering object references, identity via id(), reference counting, caching of small objects, the use of the is operator, handling of reference cycles with objgraph, manual reference deletion, and the generational garbage collection mechanism including thresholds and cycle detection.
This tutorial shows how to create a multithreaded Python web scraper that fetches news from Sina and NetEase, stores the results in MySQL, generates a live word‑cloud, and serves the data through a simple Flask web application with an HTML front‑end.
This article provides an in‑depth exploration of Python’s import system, covering basic concepts such as modules and packages, absolute and relative imports, the underlying C implementation, the role of importlib, finders and loaders, and practical guidelines for structuring imports in real projects.
Eight practical Python techniques—including list comprehensions, lambda functions, map/filter, NumPy’s arange and linspace, pandas axis handling, and DataFrame concatenation, merging, joining, applying, and pivot tables—are presented to boost efficiency and elegance in data analysis tasks.
This article introduces SysMonTask, an open‑source Linux system monitor that mimics the Windows Task Manager, outlines its key features, shares hands‑on usage impressions, and provides step‑by‑step installation and removal instructions for Ubuntu‑based distributions.
This article introduces three Python libraries—PyExecJS, Js2Py, and PyV8—that enable execution of JavaScript within Python, showing how to set up runtimes, run code snippets, read JS files, and scrape encrypted web pages for more effective data extraction.
This article presents eight Python data analysis techniques—including list comprehensions, lambda expressions, map/filter, NumPy arange and linspace, pandas axis handling, and DataFrame concatenation, merging, joining, applying, and pivot tables—to improve code efficiency, readability, and analytical capabilities.
RedMonk’s latest ranking reveals the top 20 programming languages, with JavaScript, Python and Java retaining the top three spots, while languages like TypeScript, Kotlin, and Dart climb, and Ruby, Go, and others slip, offering a snapshot of current developer preferences.
This tutorial shows how to use Python's pyecharts library to create geographic visualizations of Chinese provincial GDP, covering single‑year maps, piecewise color segmentation, and animated timelines for multiple years, with full code examples and data preparation steps.
This article introduces eight essential Python tools—including IDLE, scikit-learn, Theano, Selenium, TestComplete, Beautiful Soup, Pandas, and PuLP—highlighting their key features, typical use cases, and why they are valuable for developers across web development, data science, testing, and automation.
This guide explains two installation methods for NumPy, focuses on using pip with a wheel file, walks through selecting the correct version, installing via command line, testing the library, and troubleshooting import errors in IDEs such as PyCharm.
This article explains Python variables and constants, how to assign values using the = operator, naming rules, reassignment, expression assignment, variable usage in expressions, and the characteristics of Python as a weakly typed language with type‑checking examples.
Celebrating Python’s 30th birthday, this interview with core contributor Pablo Galindo explores the language’s rise, current massive adoption, diverse use cases—from machine‑learning models to internal tooling—and his perspective on upcoming challenges, performance improvements, and the balance between evolution and backward compatibility.
Discover seven high‑quality open‑source GitHub repositories that cover Python fundamentals, intermediate concepts, advanced topics, and practical exercises, each offering notebooks, scripts, and additional resources to help learners progress from beginner to proficient Python developer.
This tutorial demonstrates how to install PySimpleGUI, design one‑shot and persistent windows, use various popup functions for messages, text input, file and folder selection, progress meters, and finally combine these features to build a lightweight Python zip‑compression tool with full code examples.
This article introduces fifteen essential Python packages—from data‑visualization tools like Dash and Plotly, to game development with Pygame, image processing with Pillow, HTTP handling with Requests, and automation utilities such as tqdm—explaining their key features, typical use cases, and why they’re valuable for developers.
This article demonstrates how to format numeric values into scientific (exponential) notation in Python using the format function with the '{:.2e}' specifier, providing a clear code example and explaining the output representation.
This tutorial walks you through cloning PaddleGAN, installing dependencies, configuring PaddlePaddle and PaddleHub, running the expression‑transfer script, and post‑processing the output video or GIF with ffmpeg, while highlighting key parameters and platform considerations.
This article explains how to identify "lucky numbers"—elements whose value equals their frequency—in a list by progressively applying Python fundamentals such as set for deduplication, count, map, zip, filter, lambda and sorted, culminating in a concise one‑liner solution.
This article walks through building a Python web crawler that extracts forum post comments into MongoDB, covering project goals, environment setup, site structure analysis, Scrapy and Selenium integration, data storage design, handling anti‑scraping measures, and performance optimization with multithreading.
This article introduces Python's built‑in dictionary and set types, explaining their characteristics, common operations, and providing example code to demonstrate creation, element access, and membership testing, while also highlighting key differences such as mutability of values and the use of hashable elements as keys.
This article explains what synchronous and asynchronous Python code mean, how they are implemented in web servers, the performance factors of context switching and scalability, and the specific scenarios where async can outperform sync.
This article demonstrates how to use Python's collections module, including defaultdict for grouping and counting, OrderedDict for maintaining insertion order, and various sorting techniques for dictionaries and lists of dictionaries using sorted and operator.itemgetter.
This article distills essential software design knowledge—covering the five SOLID principles, three common architecture styles, effective diagramming, naming conventions, and techniques for simplifying nested if‑else logic—providing concrete Python examples and visual aids to help developers write more maintainable and robust code.
This article demonstrates three practical ways to schedule Python web‑crawling tasks—using an infinite while loop, the Timer module, and the sched module—providing code snippets, usage tips, and considerations for handling multiple runs and resource constraints.
This article explains Python's core control‑flow constructs—if‑elif‑else, while, and for loops—providing clear explanations, runnable code examples, and additional notes on boolean logic and string formatting for beginners and intermediate programmers.
This article introduces the three main categories of machine learning—supervised, unsupervised, and reinforcement learning—detailing common algorithms such as Linear Regression, Logistic Regression, Naive Bayes, K‑Nearest Neighbors, Decision Trees, Random Forests, SVM, K‑Means, and PCA, and provides concise Python code examples using scikit‑learn for each.
This guide explains how to locate the JavaScript responsible for generating URL parameters by inspecting event listeners and searching source files in Chrome, observe its execution with breakpoints, and then replicate the logic in Python using js2py to obtain login credentials.
This article walks through reading monthly rainfall data with pandas, cleaning missing values, calculating rainfall deviations, generating descriptive paragraphs, and rendering a formatted Word report using docxtpl, providing complete code snippets and example outputs for each step.
This article introduces IPython, covering its installation, core components, key interactive features such as tab completion, introspection, magic commands, system shell integration, and how to use it within Jupyter Notebook, providing practical command examples and shortcuts for efficient Python development.
This article explains Python’s built‑in concurrent.futures module, detailing how ThreadPoolExecutor and ProcessPoolExecutor work, when to use each, how to submit tasks, shut down pools, handle callbacks, and adapt the examples for I/O‑bound and CPU‑bound workloads.
This article explains how Python lists can contain mixed data types, demonstrates accessing elements with positive and negative indexes, shows slicing techniques, and illustrates various ways to add, remove, replace, and manipulate list items using built‑in functions and methods.
Struggling with complex equations in Word? The open‑source Python tool latexify_py converts Python expressions into clean LaTeX formulas, requiring only basic regex knowledge, and simplifies editing, piecewise functions, and more—making academic writing faster and error‑free.
This guide explains how to capture internal audio from Android devices by running multiple MEmu emulators, parsing their configuration XML to map simulators to recordings, automating screen capture with Windows APIs, separating audio with FFmpeg, and addressing common pitfalls such as naming collisions and permission issues.
This article introduces Python's built‑in functions, data types, numeric conversions, mathematical utilities, sequence and collection constructors, iteration tools, scope inspection, dynamic code execution, memory introspection, file handling, and module import techniques, providing concise code examples for each concept.
This article explains how Python’s coroutine model evolved from Tornado’s single‑threaded async/await support to a generator‑based micro‑framework that uses IO multiplexing, callbacks, futures and stack‑based call‑chain handling to achieve non‑blocking network programming.
This tutorial explains how to perform asynchronous MySQL operations in Python using aiomysql, covering basic connections, CRUD actions, safe parameter handling to prevent SQL injection, connection pooling, transaction management, integration with SQLAlchemy for ORM queries, and a custom reconnection wrapper for resilient database access.
This tutorial explains why and how to reduce the number of features in the Kaggle Mushroom Classification dataset with Python, covering preprocessing, various feature‑selection methods (filter, wrapper, embedded), code examples, model training, performance impact, and visualisation of results.
This article presents a curated collection of 23 open‑source game projects hosted on GitHub, covering a variety of genres and technologies—from Vim plugins and JavaScript Tetris to Python Plants vs Zombies—providing links, brief descriptions, and usage instructions for each.
RedMonk’s February 2021 programming language ranking places JavaScript at the top, followed by Python, Java, and PHP, using GitHub pull‑request data and Stack Overflow activity to gauge popularity, and notes that half of the top‑20 languages have shifted unusually compared to the previous year.
This tutorial provides a comprehensive introduction to Python 3, covering primitive data types, operators, variables, collections, control structures, functions, classes, modules, and advanced concepts such as generators, decorators, and lazy evaluation, with extensive code examples for each topic.
This tutorial shows how to use Python's openpyxl (and optionally glob) to extract rows with purchase counts over 50 from an Excel sheet, create a new workbook, and scale the solution to batch‑process a thousand similar files automatically.
This article walks through acquiring Tianjin bus line data via the Gaode Map API, cleaning and converting geographic coordinates, visualizing station distributions with matplotlib and Baidu maps, and then applying complex‑network analysis to reveal degree distributions, clustering coefficients, and small‑world characteristics of the city’s public‑transport system.
This tutorial explains how to set up ADB and Python, capture screen coordinates, and run a scripted loop that automatically taps specific points in Honor of Kings to repeatedly collect gold, including troubleshooting tips and packaging the script as an executable.
This article presents 30 concise Python tasks, each demonstrating a specific technique such as duplicate detection, memory usage, string manipulation, list chunking, dictionary merging, and more, allowing beginners to practice and developers to discover useful code patterns.
This article walks through several pandas performance‑boosting methods—from naive for‑loops and iterrows to apply, .isin, pd.cut, and NumPy digitize—showing timing results and demonstrating how vectorized operations can accelerate hourly tariff calculations by hundreds of times.
This tutorial walks you through building a cute panda‑head meme by importing, resizing, binarizing, rotating, and compositing foreground photos onto a background image using OpenCV and Pillow, then adding English or Chinese text and saving the final emoji.
This article demonstrates how to use Python, pandas, and xlrd to automatically locate, read, concatenate, and save multiple Excel workbooks and their sheets, providing a complete, code‑driven solution that eliminates tedious manual copying and reduces errors.
Discover five powerful Python tools—including Python Tutor, IPython, Jupyter Notebook, Anaconda, and Skulpt—that simplify coding, visualization, package management, and online execution, helping developers work more efficiently and deepen their understanding of Python programs.
This guide explains how to capture audio from Android applications by mapping MEmu emulator instances, automating screen recording with Windows APIs, and separating the audio track using ffmpeg, while addressing common pitfalls such as filename collisions and permission issues.
This tutorial shows how to build a rotating 3D lantern using Python, NumPy, Pillow, and the WxGL library, covering required materials, environment setup, code for constructing the cylindrical skeleton, applying the lantern paper, adding a propeller, lighting, and rendering the final animation.
The Python Software Foundation released Python 3.8.8 and 3.9.2 to patch CVE‑2021‑3177, a buffer‑overflow flaw in ctypes that enables remote code execution and denial‑of‑service attacks, prompting users to upgrade immediately to protect their systems.
This article explains the fundamentals of parallel computing in the big‑data era, compares parallelism and concurrency, outlines GPU and distributed‑computing solutions, and provides a detailed guide to Python’s multiprocessing module with code examples, performance tests, and practical tips.
This guide shows how to quickly split a large Excel workbook into multiple CSV files—or separate them by a specific column’s values—using Python’s tkinter, pandas, and xlrd libraries, with step‑by‑step code examples and visual results.
This article introduces the Python‑based WebSSH tool that lets you access Linux machines through a web browser, outlines its key features, provides step‑by‑step installation and service‑startup commands, and explains how to configure root login for seamless remote management.
This article explains how to install the Gooey library, convert a Python command‑line program into a graphical user interface using decorators and GooeyParser, explore the supported widget types, and finally package the GUI application into a standalone executable with PyInstaller.
Python 3.9.2 and 3.8.8 have been officially released, accelerating the rollout after a recent release candidate due to two critical security fixes, and include numerous bug fixes and enhancements such as CVE patches, readline improvements, and updates to standard library modules.
This article explains Python’s built-in dict and set structures, comparing them with lists, demonstrating their fast key-value lookups, handling missing keys, and common operations like insertion, deletion, and set algebra, while providing clear code examples and practical tips for effective use.
Learn how to quickly generate beautiful SVG visualizations in Python using the Pygal library, covering installation, data loading with pandas, and creating line, bar, pie, radar, box, scatter, funnel, and gauge charts with various built‑in styles, all with minimal code.
This tutorial walks you through creating a Django project, configuring Alipay RSA keys, implementing the PC‑side payment API in Python, building the necessary front‑end pages, and wiring up views and URLs so you can test a full Alipay payment flow locally.
InfoSpider is an open‑source Python‑based web‑scraping toolbox that securely aggregates personal data from over 24 sources—including email, e‑commerce, and social platforms—provides a GUI for easy operation, stores results in JSON, and offers basic visual analysis, making personal data integration and insight generation straightforward.
This guide shows how to create a series of playful Python prank programs, package them into standalone EXE files using PyInstaller, troubleshoot a common encoding bug, and includes ready-to-use code snippets and visual examples for each trick.
This article walks you through building a Python web‑scraper that queries Baidu for the keyword “grain,” extracts article titles, abstracts and links using Requests and lxml, saves the results to a text file, and shows the execution output with screenshots.
The Intelligent UAV Path Planning Simulation System leverages open‑source SITL and FlightGear to model dynamics, visualize 2D/3D environments, and generate exportable flight routes that enable coordinated multi‑drone missions with high precision, addressing traditional UAV planning limitations.
This guide introduces the xlwings library for Python, covering installation, core concepts, and detailed code examples for opening Excel, reading and writing cells, managing workbooks, handling ranges, formatting, formulas, and colors, helping you automate Excel tasks efficiently.
This article showcases practical Python tricks—including set operations for deduplication, permission handling with set differences, calendar month calculations, enumerate with custom start indices, clean if‑else handling via enums, and iPython usage—providing concise code examples that boost everyday development productivity.
This article describes how a Python web‑scraper collected over 200,000 cat‑trading records and breed information, then performed exploratory data analysis to uncover patterns in breed distribution, geographic hotspots, price determinants, and other market insights.
The February 2021 TIOBE index shows C retaining the top spot, Java at second, Python third, with notable rises for R and Groovy and declines for Go and Swift, accompanied by detailed rankings for the top 100 programming languages.
PyArmadillo is a newly released Python library that wraps the C++ Armadillo linear algebra package via pybind11, offering Matlab/Octave‑style syntax, extensive matrix and cube operations, high‑performance back‑ends, and easy installation on major operating systems for scientific computing.
This article explains how to use the Hilbert transform to obtain signal feature values, defines R and J envelope statistics and bispectrum features, and provides Python code that generates signals, adds noise, computes these features, and visualizes their variation with amplitude, frequency, and phase.
This article presents 22 practical Python projects—from a dice simulator and rock‑paper‑scissors game to a weather app and a currency converter—each with a clear purpose, implementation hints, and ready‑to‑run code snippets, helping readers sharpen their programming abilities.
Discover five advanced Python features—including lambda, map, filter, itertools, and generator functions—explained with clear examples, showing how they simplify code, improve performance, and enable more elegant data processing for both small scripts and memory‑constrained applications.
This article walks through a full Python‑based sales analysis for a cosmetics company, covering data loading, cleaning, aggregation, visualization, and business‑focused conclusions such as product demand cycles, regional performance, and customer retention strategies.
This tutorial walks you through creating a Django project, configuring RSA keys, setting up Alipay sandbox credentials, writing a Python Alipay class, building front‑end pages, and wiring view functions and URLs to enable PC‑side Alipay payments.
This tutorial demonstrates how to create a console‑based Python application that manages graduate student records, providing step‑by‑step code for viewing, adding, editing, and deleting student information through a menu‑driven interface.
This article explains how to use Python and the win32com library to automate the conversion of Excel .xls files (including .xlsm) to .xlsx format, covering essential libraries, FileFormat codes, and a complete code example with detailed explanations.
This step‑by‑step tutorial shows how to create a Django website with user authentication features—including login, registration, logout, password change, password‑less login and reset—by configuring the project, defining models, forms, views, URLs, performing migrations, and running the server.
This article explains how the popular Python tqdm library can turn opaque, long‑running scripts into transparent processes by adding customizable progress bars in console, Jupyter notebooks, and even nested scenarios such as file downloads, complete with code examples.
This tutorial demonstrates how to use Python's win32com library to control Microsoft Word via its COM object model, covering installation, creating and opening documents, manipulating selections and ranges, and applying page layout and style settings to meet official formatting standards.
