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.
This article explains three ways to run raw SQL in Django, demonstrates why the built‑in extra method is discouraged, shows how to use the raw manager and the low‑level connection cursor, and provides helper functions that return query results as dictionaries for easier processing.
This guide explains how to compile Python code into .pyd files, unpack PyInstaller‑packed executables, decompile bytecode, analyze the generated assembly in IDA, and patch conditional logic to bypass license checks, providing a practical workflow for binary reverse engineering.
This guide walks through migrating documents from a MongoDB 3.4.1 cluster to an Apache CouchDB 2.2 cluster using a Python script that leverages pymongo and CouchDB’s REST API, covering environment setup, migration steps, code execution, and verification of transferred data.
The article reviews the 2020 most‑downloaded Django packages, breaking them into categories such as REST, utilities, ORM extensions, testing, caching, settings, background jobs, authentication, front‑end tools, security, email, monitoring, admin, search and others, providing download counts, recent updates and observations on trends for developers.
This article provides a comprehensive guide to Python web scraping, covering basic GET/POST requests, proxy usage, cookie management, browser header spoofing, gzip compression handling, and multithreaded crawling to improve efficiency and avoid common obstacles.
This guide walks you through configuring PyCharm to connect to a remote Linux server, set up an SSH Python interpreter, enable automatic file synchronization, and run long‑running web‑scraping scripts directly on the server, streamlining development without manual file transfers.
This article walks you through creating a simple Python lottery draw program, explains how to prepare the names CSV file, shows the GUI logic, provides key code snippets for random name generation and interface handling, and demonstrates packaging the script into a standalone executable with PyInstaller.
Learn what imbalanced data is, why it hampers machine learning models, and explore a comprehensive suite of preprocessing strategies—including under‑sampling, over‑sampling (SMOTE, ADASYN), combined sampling, ensemble methods, and class‑weight adjustments—using the imbalanced‑learn library with concrete Python code examples.
Discover Ryven, a visual Python scripting tool that turns ordinary code into an interactive workflow, showing each step from image input and resizing to bilateral filtering, while offering data‑flow and execution‑flow modes for real‑time feedback.
This tutorial walks you through installing dependencies, running a Scrapy spider, configuring Scrapyd, packaging the project, and using Gerapy’s visual interface to manage and deploy a Python web crawler for Qiushibaike jokes.
Learn step‑by‑step how to scrape Tencent’s location data via its API, process the coordinates with pandas, deduplicate and filter them, and finally visualize regional foot‑traffic as an interactive heatmap using Folium, complete with code snippets and practical tips.
This article provides a visual, step‑by‑step introduction to NumPy’s core concepts—vectors, matrices, higher‑dimensional arrays, creation, indexing, arithmetic, broadcasting, and common functions—helping developers and researchers understand how the library works and apply it efficiently in Python data‑science workflows.
This article introduces KubeVirt as a Kubernetes plugin for managing virtual machines, compares it with OpenStack and other solutions, explains its CRDs, components, storage and networking options, and provides detailed code examples and SDK usage for deploying and operating VMs in a cloud‑native environment.
Using Python, this tutorial demonstrates how to scrape 1,585 cherry product listings from Taobao, extract key fields, clean and transform the data, and visualize regional sales and price distributions, highlighting the most popular provinces, stores, and price ranges, all with reproducible code.
This tutorial shows how to use Python's glob, python-docx, and openpyxl libraries to automatically scan a folder of Word meeting notices, pull out study time, content, format, and host information, and populate an Excel spreadsheet, saving hours of manual work.
This article provides an in‑depth overview of Apache Superset, covering its recent graduation to a top‑level Apache project, key visualization features, extensive data source support, step‑by‑step installation via pip or Docker, PostgreSQL connection, role‑based permission model, and practical usage insights.
This tutorial presents thirty concise Python tasks—ranging from duplicate detection and anagram checking to list chunking, dictionary merging, and execution timing—each accompanied by clear explanations and ready‑to‑run code snippets, enabling beginners to solidify fundamental concepts through hands‑on practice.
This article walks through a systematic performance investigation of a Python‑Flask backend, using Chrome Network, flame‑graph profiling, and MySQL query refactoring to shrink a 37‑second endpoint down to 1.5 seconds, while sharing practical code snippets and optimization lessons.
This guide shows how to retrieve the Kubernetes API endpoint, generate an authentication token, deploy a Python script, configure Zabbix host and external check, and manually trigger the monitoring to collect cluster metrics via Zabbix Sender.
Discover seven top‑rated open‑source GitHub repositories—ranging from beginner notebooks and comprehensive tutorials to advanced algorithm collections—that provide structured Python lessons, hands‑on exercises, and supplemental resources, helping learners progress from fundamentals to intermediate proficiency.
This guide walks you through the complete Python data‑analysis workflow—reading and writing data, processing with NumPy and pandas, modeling with statsmodels and scikit‑learn, and visualizing results with Matplotlib—while highlighting the key tools and learning path for beginners and busy professionals alike.
This article explains the purpose and behavior of Python's built‑in __name__ variable, showing how its value differs when a script is run directly versus when it is imported as a module, with clear code examples and execution flow diagrams.
This tutorial explains how to use PyQt's QFormLayout for two‑column forms, add rows with .addRow(), nest layouts for complex interfaces, switch pages with QStackedLayout and QComboBox, and create tabbed dialogs using QTabWidget, providing complete code examples for each technique.
This article presents a step‑by‑step tutorial on fifteen practical pandas filtering techniques, demonstrating how to select, exclude, and query supermarket operation data using comparison operators, logical expressions, and pandas-specific functions, all illustrated with clear code examples and screenshots.
This beginner‑friendly guide walks readers through installing Scrapy, creating a project and spider, running and debugging crawlers, implementing parsing with CSS/XPath, and overcoming common hurdles such as JavaScript rendering, user‑agent spoofing, and proxy rotation via configurable middlewares, enabling quick start of web‑crawling projects.
This article presents a comprehensive collection of 100 Python programming exercises covering topics such as number combinations, tax calculations, perfect squares, date handling, sorting algorithms, Fibonacci sequences, matrix operations, and more, each accompanied by problem descriptions, analysis, and complete code solutions.
This article introduces Microsoft’s open‑source Playwright‑Python library, explains its advantages over Selenium, walks through installation, code generation, synchronous and asynchronous usage, mobile emulation, and highlights its strengths and current limitations for Python developers.
