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 guide walks through migrating a single‑node Django multi‑tenant application to a distributed PostgreSQL backend using Citus, covering schema changes, primary‑key and unique‑constraint adjustments, integration of the django‑multitenant library, data distribution, range‑query updates, and middleware automation.
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.
