Tagged articles

5000 articles

Page 43 of 50

Mar 28, 2021 · Artificial Intelligence

Deploying Scikit‑learn and HMMlearn Models as High‑Performance Online Prediction Services Using ONNX

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.

C++Model DeploymentONNX

0 likes · 22 min read

Deploying Scikit‑learn and HMMlearn Models as High‑Performance Online Prediction Services Using ONNX

Python Crawling & Data Mining

Mar 28, 2021 · Fundamentals

Master Recursion in Python: Factorial, Fibonacci, and Pitfalls

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.

FibonacciPythonRecursion

0 likes · 5 min read

Master Recursion in Python: Factorial, Fibonacci, and Pitfalls

Python Crawling & Data Mining

Mar 27, 2021 · Big Data

What Types of Douyin Videos Really Capture Millions of Views? A Data‑Driven Deep Dive

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.

Data AnalysisDouyinPython

0 likes · 17 min read

What Types of Douyin Videos Really Capture Millions of Views? A Data‑Driven Deep Dive

MaGe Linux Operations

Mar 26, 2021 · Fundamentals

Master Google Python Style Guide: Essential Coding Standards Explained

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.

DocumentationPythoncoding standards

0 likes · 55 min read

Master Google Python Style Guide: Essential Coding Standards Explained

Python Programming Learning Circle

Mar 25, 2021 · Fundamentals

Understanding Python Class Inheritance, Subclassing, and Multiple Inheritance

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.

ClassInheritanceMultiple Inheritance

0 likes · 6 min read

Understanding Python Class Inheritance, Subclassing, and Multiple Inheritance

MaGe Linux Operations

Mar 24, 2021 · Fundamentals

Master Python Variables: Definitions, Naming Rules, and Best Practices

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.

Pythonnaming conventionsprogramming fundamentals

0 likes · 5 min read

Master Python Variables: Definitions, Naming Rules, and Best Practices

MaGe Linux Operations

Mar 23, 2021 · Fundamentals

How Does Python Manage Memory? Understanding Objects, References, and GC

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.

Garbage CollectionPythonmemory management

0 likes · 11 min read

How Does Python Manage Memory? Understanding Objects, References, and GC

Python Programming Learning Circle

Mar 23, 2021 · Fundamentals

Coroutines and Asynchronous Programming in Python

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.

Pythonaiohttpasync/await

0 likes · 13 min read

Coroutines and Asynchronous Programming in Python

Huawei Cloud Developer Alliance

Mar 23, 2021 · Artificial Intelligence

How to Recognize Credit Card Numbers with OpenCV: A Step‑by‑Step Tutorial

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.

OCROpenCVPython

0 likes · 10 min read

How to Recognize Credit Card Numbers with OpenCV: A Step‑by‑Step Tutorial

Programmer DD

Mar 23, 2021 · Fundamentals

Explore Ryven: Visualize Python Scripts with Interactive Data and Execution Flows

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.

Data FlowPythonVisual Programming

0 likes · 4 min read

Explore Ryven: Visualize Python Scripts with Interactive Data and Execution Flows

Practical DevOps Architecture

Mar 23, 2021 · Fundamentals

Understanding Python Functions: Definition, Scope, and Calls

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.

FunctionsPythonprogramming

0 likes · 4 min read

Understanding Python Functions: Definition, Scope, and Calls

MaGe Linux Operations

Mar 22, 2021 · Backend Development

Master Python File Downloads: Requests, Wget, Asyncio, S3, and More

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.

Boto3File DownloadPython

0 likes · 9 min read

Master Python File Downloads: Requests, Wget, Asyncio, S3, and More

Python Programming Learning Circle

Mar 22, 2021 · Fundamentals

Understanding Python Classes, Special Methods, Inheritance, and Polymorphism

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.

InheritanceOOPPolymorphism

0 likes · 8 min read

Understanding Python Classes, Special Methods, Inheritance, and Polymorphism

Python Crawling & Data Mining

Mar 22, 2021 · Fundamentals

Why Does Python Have a ‘pass’ Statement? Understanding Its Purpose and Benefits

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.

Pythoncode readabilitypass statement

0 likes · 8 min read

Why Does Python Have a ‘pass’ Statement? Understanding Its Purpose and Benefits

MaGe Linux Operations

Mar 20, 2021 · Game Development

How to Build a Flappy Bird Clone with Python and Pygame

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.

Flappy BirdGame DevelopmentPygame

0 likes · 17 min read

How to Build a Flappy Bird Clone with Python and Pygame

Python Programming Learning Circle

Mar 20, 2021 · Fundamentals

Understanding Python Object Memory Management and Garbage Collection

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.

Garbage CollectionGenerational GCPython

0 likes · 12 min read

Understanding Python Object Memory Management and Garbage Collection

Python Crawling & Data Mining

Mar 20, 2021 · Backend Development

Build a Real‑Time News Scraper & Word Cloud with Flask and Python

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.

FlaskMySQLPython

0 likes · 8 min read

Build a Real‑Time News Scraper & Word Cloud with Flask and Python

Xueersi Online School Tech Team

Mar 19, 2021 · Fundamentals

Understanding Python's Import System: Concepts, Mechanisms, and Best Practices

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.

Code LoadingImport SystemPEP

0 likes · 45 min read

Understanding Python's Import System: Concepts, Mechanisms, and Best Practices

Python Programming Learning Circle

Mar 19, 2021 · Fundamentals

Eight Essential Python Techniques for Efficient Data Analysis

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.

Data AnalysisNumPyPython

0 likes · 7 min read

Eight Essential Python Techniques for Efficient Data Analysis

Liangxu Linux

Mar 18, 2021 · Operations

SysMonTask Review: A Linux System Monitor with a Windows‑Style Task Manager UI

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.

LinuxPythonSysMonTask

0 likes · 5 min read

SysMonTask Review: A Linux System Monitor with a Windows‑Style Task Manager UI

Python Crawling & Data Mining

Mar 18, 2021 · Backend Development

Master Python‑JS Integration with PyExecJS, Js2Py & PyV8 for Web Scraping

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.

JavaScriptPyV8Pyexecjs

0 likes · 6 min read

Master Python‑JS Integration with PyExecJS, Js2Py & PyV8 for Web Scraping

Python Programming Learning Circle

Mar 17, 2021 · Big Data

Eight Python Techniques for Efficient Data Analysis

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.

Data AnalysisNumPyPython

0 likes · 7 min read

Eight Python Techniques for Efficient Data Analysis

Java High-Performance Architecture

Mar 17, 2021 · Fundamentals

What Are the Top 20 Programming Languages in 2021? Insights from RedMonk

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.

JavaScriptPythonRedMonk ranking

0 likes · 3 min read

What Are the Top 20 Programming Languages in 2021? Insights from RedMonk

Python Crawling & Data Mining

Mar 17, 2021 · Big Data

How to Visualize Chinese Provincial GDP with Python and pyecharts

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.

GDPPyechartsPython

0 likes · 7 min read

How to Visualize Chinese Provincial GDP with Python and pyecharts

MaGe Linux Operations

Mar 16, 2021 · Fundamentals

Top 8 Essential Python Tools Every Developer Should Know

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.

OptimizationPythonlibraries

0 likes · 6 min read

Top 8 Essential Python Tools Every Developer Should Know

Python Programming Learning Circle

Mar 16, 2021 · Fundamentals

How to Install and Use the NumPy Module in Python

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.

DataScienceInstallationNumPy

0 likes · 3 min read

How to Install and Use the NumPy Module in Python

Python Programming Learning Circle

Mar 15, 2021 · Fundamentals

Understanding Python Variables, Assignment, and Weak Typing

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.

PythonWeak Typingassignment

0 likes · 6 min read

Understanding Python Variables, Assignment, and Weak Typing

MaGe Linux Operations

Mar 14, 2021 · Fundamentals

What the Future Holds for Python at 30? Insights from a Core Contributor

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.

CommunityInterviewProgramming Language

0 likes · 5 min read

What the Future Holds for Python at 30? Insights from a Core Contributor

MaGe Linux Operations

Mar 13, 2021 · Fundamentals

7 Must‑Visit GitHub Repositories to Master Python Programming

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.

GitHubLearning ResourcesPython

0 likes · 7 min read

7 Must‑Visit GitHub Repositories to Master Python Programming

Python Programming Learning Circle

Mar 13, 2021 · Frontend Development

Creating Dialog Windows and a Simple Zip Utility with PySimpleGUI

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.

DialogFile CompressionGUI

0 likes · 7 min read

Creating Dialog Windows and a Simple Zip Utility with PySimpleGUI

MaGe Linux Operations

Mar 12, 2021 · Fundamentals

15 Must‑Try Python Packages Every Developer Should Know

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.

DevelopmentPythonlibraries

0 likes · 13 min read

15 Must‑Try Python Packages Every Developer Should Know

Python Programming Learning Circle

Mar 12, 2021 · Fundamentals

Formatting Numbers to Scientific Notation in Python

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.

Number FormattingPythonscientific notation

0 likes · 2 min read

Formatting Numbers to Scientific Notation in Python

Python Crawling & Data Mining

Mar 12, 2021 · Artificial Intelligence

Step‑by‑Step Guide to Facial Expression Transfer with PaddleGAN

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.

AIPaddleGANPython

0 likes · 6 min read

Step‑by‑Step Guide to Facial Expression Transfer with PaddleGAN

Python Programming Learning Circle

Mar 11, 2021 · Fundamentals

Finding Lucky Numbers in a List Using Python: Step‑by‑Step with map, filter, zip and lambda

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.

LambdaLeetCodeList

0 likes · 9 min read

Finding Lucky Numbers in a List Using Python: Step‑by‑Step with map, filter, zip and lambda

Python Crawling & Data Mining

Mar 11, 2021 · Backend Development

How to Build a Robust Python Web Crawler for Forum Comments with Scrapy & Selenium

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.

CrawlerData ExtractionMongoDB

0 likes · 13 min read

How to Build a Robust Python Web Crawler for Forum Comments with Scrapy & Selenium

Practical DevOps Architecture

Mar 11, 2021 · Fundamentals

Python Dictionary and Set Basics

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.

Data StructuresPythonSet

0 likes · 5 min read

MaGe Linux Operations

Mar 10, 2021 · Backend Development

Is Async Python Really Faster? Uncover the Truth Behind Sync vs Async

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.

PerformancePythonasynchronous programming

0 likes · 12 min read

Is Async Python Really Faster? Uncover the Truth Behind Sync vs Async

Python Programming Learning Circle

Mar 10, 2021 · Fundamentals

Using Python collections defaultdict, OrderedDict, and Sorting Techniques

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.

CollectionsOrderedDictPython

0 likes · 8 min read

Using Python collections defaultdict, OrderedDict, and Sorting Techniques

Huawei Cloud Developer Alliance

Mar 10, 2021 · Fundamentals

Mastering Clean Code: SOLID Principles, Architecture Patterns, and Naming Strategies

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.

Design PatternsPythonSoftware Architecture

0 likes · 22 min read

Mastering Clean Code: SOLID Principles, Architecture Patterns, and Naming Strategies

Python Crawling & Data Mining

Mar 10, 2021 · Fundamentals

How to Schedule Python Web Crawlers: 3 Simple Methods Explained

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.

PythonSchedulingWeb Crawling

0 likes · 6 min read

How to Schedule Python Web Crawlers: 3 Simple Methods Explained

Practical DevOps Architecture

Mar 10, 2021 · Fundamentals

Python Control Flow: if‑elif‑else, while, and for Loops

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.

Control FlowPythonfor loop

0 likes · 4 min read

Python Control Flow: if‑elif‑else, while, and for Loops

DataFunTalk

Mar 9, 2021 · Artificial Intelligence

Introduction to Common Machine Learning Algorithms with Python Implementations

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.

PythonUnsupervised Learningmachine learning

0 likes · 18 min read

Introduction to Common Machine Learning Algorithms with Python Implementations

Python Programming Learning Circle

Mar 9, 2021 · Frontend Development

Locating and Executing JavaScript for Parameter Extraction Using Chrome DevTools and js2py

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.

Chrome DevToolsJavaScriptPython

0 likes · 8 min read

Locating and Executing JavaScript for Parameter Extraction Using Chrome DevTools and js2py

Python Crawling & Data Mining

Mar 9, 2021 · Fundamentals

How to Automate Rainfall Word Reports with Python and Pandas

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.

Data ProcessingDocxTemplatePython

0 likes · 8 min read

How to Automate Rainfall Word Reports with Python and Pandas

Python Programming Learning Circle

Mar 8, 2021 · Fundamentals

Introduction to IPython: Installation, Features, and Usage

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.

IPythonJupyterMagic Commands

0 likes · 10 min read

Introduction to IPython: Installation, Features, and Usage

Python Crawling & Data Mining

Mar 8, 2021 · Fundamentals

Master Python ThreadPoolExecutor and ProcessPoolExecutor for Efficient Concurrency

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.

ConcurrencyProcessPoolExecutorPython

0 likes · 8 min read

Master Python ThreadPoolExecutor and ProcessPoolExecutor for Efficient Concurrency

Practical DevOps Architecture

Mar 8, 2021 · Fundamentals

Python List Operations: Indexing, Slicing, and Modification

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.

ListPythonSlicing

0 likes · 5 min read

Python List Operations: Indexing, Slicing, and Modification

MaGe Linux Operations

Mar 5, 2021 · Fundamentals

Turn Python Code into LaTeX Formulas Instantly with latexify_py

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.

LaTeXPythonmath

0 likes · 3 min read

Turn Python Code into LaTeX Formulas Instantly with latexify_py

360 Tech Engineering

Mar 5, 2021 · Mobile Development

Extracting Audio from Android Emulators Using MEmu, Python, and FFmpeg

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.

AndroidAudio ExtractionFFmpeg

0 likes · 8 min read

Extracting Audio from Android Emulators Using MEmu, Python, and FFmpeg

Python Programming Learning Circle

Mar 5, 2021 · Fundamentals

Python Built‑in Functions and Common Usage

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.

Code ExecutionData TypesPython

0 likes · 11 min read

Python Built‑in Functions and Common Usage

Python Programming Learning Circle

Mar 5, 2021 · Backend Development

Understanding Python Coroutines: From Generators to Async IO and Event‑Loop Design

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.

CoroutinesGeneratorsIO Multiplexing

0 likes · 21 min read

Understanding Python Coroutines: From Generators to Async IO and Event‑Loop Design

360 Quality & Efficiency

Mar 5, 2021 · Databases

Asynchronous MySQL Operations with aiomysql and SQLAlchemy in Python

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.

Connection PoolingDatabaseMySQL

0 likes · 38 min read

Asynchronous MySQL Operations with aiomysql and SQLAlchemy in Python

DataFunTalk

Mar 5, 2021 · Artificial Intelligence

Feature Selection Techniques for the Kaggle Mushroom Classification Dataset Using Python

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.

Mushroom datasetPythonRandom Forest

0 likes · 14 min read

Feature Selection Techniques for the Kaggle Mushroom Classification Dataset Using Python

Liangxu Linux

Mar 4, 2021 · Frontend Development

Explore 23 Fun Open‑Source Game Projects on GitHub for Learning and Relaxation

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.

GitHubJavaScriptPython

0 likes · 13 min read

Explore 23 Fun Open‑Source Game Projects on GitHub for Learning and Relaxation

21CTO

Mar 4, 2021 · Fundamentals

Why JavaScript Still Leads the RedMonk 2021 Language Rankings

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.

JavaScriptPythonRedMonk

0 likes · 3 min read

Why JavaScript Still Leads the RedMonk 2021 Language Rankings

Python Programming Learning Circle

Mar 4, 2021 · Fundamentals

Python Basics Tutorial: Data Types, Variables, Control Flow, Functions, Classes, Modules and Advanced Features

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.

Pythonbasicsprogramming

0 likes · 21 min read

Python Basics Tutorial: Data Types, Variables, Control Flow, Functions, Classes, Modules and Advanced Features

Python Crawling & Data Mining

Mar 4, 2021 · Fundamentals

Automate Excel Data Extraction with Python openpyxl: From Single to 1000 Files

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.

Batch processingExcel AutomationPython

0 likes · 8 min read

Automate Excel Data Extraction with Python openpyxl: From Single to 1000 Files

Python Crawling & Data Mining

Mar 3, 2021 · Fundamentals

Uncovering Tianjin’s Bus Network: From Raw GPS Data to Complex Network Insights

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.

Complex NetworksData AnalysisNetwork Metrics

0 likes · 19 min read

Uncovering Tianjin’s Bus Network: From Raw GPS Data to Complex Network Insights

MaGe Linux Operations

Mar 2, 2021 · Game Development

Build a Python ADB Bot to Auto‑Farm Gold in Honor of Kings

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.

ADBBotGame Automation

0 likes · 6 min read

Build a Python ADB Bot to Auto‑Farm Gold in Honor of Kings

Python Programming Learning Circle

Mar 2, 2021 · Fundamentals

30 Minimal Python Tasks and Code Snippets for Beginners

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.

AlgorithmsCoding ExercisesData Structures

0 likes · 13 min read

30 Minimal Python Tasks and Code Snippets for Beginners

Python Crawling & Data Mining

Mar 1, 2021 · Fundamentals

Boost Pandas Data Processing Speed Up to 315× with Vectorized Techniques

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.

Pythondata-processingvectorization

0 likes · 10 min read

Boost Pandas Data Processing Speed Up to 315× with Vectorized Techniques

MaGe Linux Operations

Feb 27, 2021 · Fundamentals

Create a Custom Panda Emoji with Python: Step‑by‑Step OpenCV & Pillow Tutorial

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.

ComputerVisionImageProcessingMemeGeneration

0 likes · 11 min read

Create a Custom Panda Emoji with Python: Step‑by‑Step OpenCV & Pillow Tutorial

Python Crawling & Data Mining

Feb 27, 2021 · Fundamentals

Effortlessly Merge Multiple Excel Files and Sheets with Python

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.

Pythondata merging

0 likes · 8 min read

Effortlessly Merge Multiple Excel Files and Sheets with Python

21CTO

Feb 26, 2021 · Fundamentals

Boost Your Python Workflow: 5 Essential Tools Every Developer Should Try

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.

AnacondaDevelopmentIPython

0 likes · 4 min read

Boost Your Python Workflow: 5 Essential Tools Every Developer Should Try

360 Quality & Efficiency

Feb 26, 2021 · Mobile Development

Extracting Audio from Android Devices Using MEmu Emulator and Python

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.

AndroidAudio ExtractionFFmpeg

0 likes · 8 min read

Extracting Audio from Android Devices Using MEmu Emulator and Python

Python Crawling & Data Mining

Feb 26, 2021 · Fundamentals

Create a 3D Lantern with Python: Step‑by‑Step Tutorial Using NumPy, Pillow, and WxGL

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.

3d-visualizationNumPyPython

0 likes · 10 min read

Create a 3D Lantern with Python: Step‑by‑Step Tutorial Using NumPy, Pillow, and WxGL

MaGe Linux Operations

Feb 25, 2021 · Information Security

Why You Must Upgrade to Python 3.8.8/3.9.2 Now: Inside CVE‑2021‑3177 RCE Vulnerability

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.

CVE-2021-3177PythonRemote Code Execution

0 likes · 4 min read

Why You Must Upgrade to Python 3.8.8/3.9.2 Now: Inside CVE‑2021‑3177 RCE Vulnerability

Python Programming Learning Circle

Feb 25, 2021 · Big Data

Parallel Computing and Python Multiprocessing: Concepts, Models, and Practical Examples

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.

Big DataDistributed computingGPU

0 likes · 18 min read

Parallel Computing and Python Multiprocessing: Concepts, Models, and Practical Examples

Python Crawling & Data Mining

Feb 23, 2021 · Fundamentals

Split Large Excel Files into CSVs with a Few Lines of Python

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.

CSVPython

0 likes · 5 min read

Split Large Excel Files into CSVs with a Few Lines of Python

MaGe Linux Operations

Feb 22, 2021 · Operations

Run Linux SSH Directly from Your Browser with WebSSH – Quick Setup Guide

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.

DevOpsLinuxPython

0 likes · 3 min read

Run Linux SSH Directly from Your Browser with WebSSH – Quick Setup Guide

Python Crawling & Data Mining

Feb 22, 2021 · Fundamentals

Turn Any Python Script into a GUI with Gooey: Quick Start Guide

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.

CLIGUIGooey

0 likes · 8 min read

Turn Any Python Script into a GUI with Gooey: Quick Start Guide

Laravel Tech Community

Feb 21, 2021 · Fundamentals

Python 3.9.2 and 3.8.8 Release: Security Fixes and New Features

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.

Programming LanguagePythonRelease Notes

0 likes · 4 min read

Python 3.9.2 and 3.8.8 Release: Security Fixes and New Features

Python Crawling & Data Mining

Feb 20, 2021 · Fundamentals

Unlock Python’s Speed: Master dict and set for Fast Data Lookup

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.

Data StructuresImmutable ObjectsPython

0 likes · 9 min read

Unlock Python’s Speed: Master dict and set for Fast Data Lookup

Python Crawling & Data Mining

Feb 19, 2021 · Fundamentals

Create Stunning SVG Charts in Python with Pygal: A Step‑by‑Step Guide

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.

Data visualizationPygalPython

0 likes · 10 min read

Create Stunning SVG Charts in Python with Pygal: A Step‑by‑Step Guide

Python Crawling & Data Mining

Feb 18, 2021 · Backend Development

Build Alipay Payment Integration with Django: Step‑by‑Step Guide

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.

AlipayDjangoPayment Integration

0 likes · 16 min read

Build Alipay Payment Integration with Django: Step‑by‑Step Guide

Programmer DD

Feb 18, 2021 · Backend Development

InfoSpider: Open‑Source Python Toolbox for Secure Personal Data Scraping and Analysis

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.

Open SourcePythonWeb Scraping

0 likes · 12 min read

InfoSpider: Open‑Source Python Toolbox for Secure Personal Data Scraping and Analysis

MaGe Linux Operations

Feb 17, 2021 · Fundamentals

Turn Simple Python Scripts into Prank Executables with PyInstaller

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.

ExecutablePrank ScriptsPython

0 likes · 6 min read

Turn Simple Python Scripts into Prank Executables with PyInstaller

Python Crawling & Data Mining

Feb 17, 2021 · Backend Development

How to Scrape Baidu for Grain Policy Articles with Python: A Step‑by‑Step Guide

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.

BaiduData ExtractionPython

0 likes · 5 min read

How to Scrape Baidu for Grain Policy Articles with Python: A Step‑by‑Step Guide

MaGe Linux Operations

Feb 16, 2021 · Artificial Intelligence

How an Intelligent UAV Path Planning Simulation System Boosts Precise Mission Control

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.

AIPythonSimulation

0 likes · 6 min read

How an Intelligent UAV Path Planning Simulation System Boosts Precise Mission Control

Python Crawling & Data Mining

Feb 16, 2021 · Fundamentals

Excel Automation with Python xlwings: Install, Basics, and Code Samples

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.

Code ExamplesExcel AutomationPython

0 likes · 9 min read

Excel Automation with Python xlwings: Install, Basics, and Code Samples

MaGe Linux Operations

Feb 15, 2021 · Fundamentals

Unlock Powerful Python Tricks: Sets, Calendars, Enums, and More

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.

CalendarEnumIPython

0 likes · 11 min read

Unlock Powerful Python Tricks: Sets, Calendars, Enums, and More

Python Crawling & Data Mining

Feb 15, 2021 · Big Data

What 200K Cat Listings Reveal About Breeds, Prices, and Market Trends

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.

Pythoncat marketprice factors

0 likes · 8 min read

What 200K Cat Listings Reveal About Breeds, Prices, and Market Trends

21CTO

Feb 14, 2021 · Fundamentals

Which Languages Lead the 2021 TIOBE Rankings? February 2021 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.

2021 rankingsC languagePython

0 likes · 5 min read

Which Languages Lead the 2021 TIOBE Rankings? February 2021 Insights

MaGe Linux Operations

Feb 14, 2021 · Fundamentals

Introducing PyArmadillo: A Python Linear Algebra Library with Matlab‑Like Syntax

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.

ArmadilloLibraryPyArmadillo

0 likes · 5 min read

Introducing PyArmadillo: A Python Linear Algebra Library with Matlab‑Like Syntax

MaGe Linux Operations

Feb 13, 2021 · Fundamentals

Extracting Signal Features with Hilbert Transform and Bispectrum in Python

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.

Hilbert transformPythonSignal Processing

0 likes · 13 min read

Extracting Signal Features with Hilbert Transform and Bispectrum in Python

Python Crawling & Data Mining

Feb 12, 2021 · Fundamentals

22 Fun Python Projects to Boost Your Coding Skills

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.

BeginnerProjectsPython

0 likes · 20 min read

22 Fun Python Projects to Boost Your Coding Skills

MaGe Linux Operations

Feb 9, 2021 · Fundamentals

5 Powerful Python Features You Might Not Be Using (and How to Apply Them)

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.

Advanced FeaturesGeneratorsLambda

0 likes · 8 min read

5 Powerful Python Features You Might Not Be Using (and How to Apply Them)

Python Crawling & Data Mining

Feb 9, 2021 · Big Data

How to Uncover Hidden Sales Insights with Python: A Complete Cosmetics Data Analysis

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.

Data AnalysisPythonSales

0 likes · 16 min read

How to Uncover Hidden Sales Insights with Python: A Complete Cosmetics Data Analysis

Python Crawling & Data Mining

Feb 8, 2021 · Backend Development

Build an Alipay Payment System with Django: Step‑by‑Step Guide

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.

AlipayBackend DevelopmentDjango

0 likes · 15 min read

Build an Alipay Payment System with Django: Step‑by‑Step Guide

MaGe Linux Operations

Feb 7, 2021 · Fundamentals

Build a Simple Python Graduate Student Management System from Scratch

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.

CRUDConsole ApplicationPython

0 likes · 9 min read

Build a Simple Python Graduate Student Management System from Scratch

Python Crawling & Data Mining

Feb 7, 2021 · Operations

Convert Excel .xls to .xlsx with Python: A Step‑by‑Step Guide

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.

Pythonfile conversionwin32com

0 likes · 4 min read

Convert Excel .xls to .xlsx with Python: A Step‑by‑Step Guide

Python Crawling & Data Mining

Feb 5, 2021 · Backend Development

Build a Full‑Featured Django Website: Login, Registration, and More

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.

AuthenticationDjangoPython

0 likes · 5 min read

Build a Full‑Featured Django Website: Login, Registration, and More

MaGe Linux Operations

Feb 4, 2021 · Fundamentals

Visualize Python Script Progress with Tqdm: A Practical Guide

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.

Code ExamplePythonprogress bar

0 likes · 6 min read

Visualize Python Script Progress with Tqdm: A Practical Guide

Python Programming Learning Circle

Feb 4, 2021 · Backend Development

Automating Microsoft Word with Python win32com: Creating and Formatting Documents

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.

COMDocument FormattingPython

0 likes · 10 min read

Automating Microsoft Word with Python win32com: Creating and Formatting Documents

Python Crawling & Data Mining

Feb 4, 2021 · Backend Development

Execute Native SQL in Django and Return Results as Dictionaries

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.

DatabaseDjangoPython

0 likes · 6 min read

Execute Native SQL in Django and Return Results as Dictionaries

MaGe Linux Operations

Feb 3, 2021 · Information Security

Reverse Engineering and Patching Python .pyd Modules with IDA

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.

IDAPythonReverse Engineering

0 likes · 8 min read

Reverse Engineering and Patching Python .pyd Modules with IDA

Architects Research Society

Feb 2, 2021 · Databases

Migrating Data from MongoDB to Apache CouchDB Using a Simple Python Script

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.

CouchDBData MigrationMongoDB

0 likes · 8 min read

Migrating Data from MongoDB to Apache CouchDB Using a Simple Python Script

MaGe Linux Operations

Feb 2, 2021 · Backend Development

Top 100 Django Packages of 2020: Download Stats & Trends

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.

BackendDjangoPackage Statistics

0 likes · 13 min read

Top 100 Django Packages of 2020: Download Stats & Trends

Python Programming Learning Circle

Feb 2, 2021 · Backend Development

Python Web Scraping Techniques: GET/POST, Proxy, Cookies, Browser Emulation, Gzip, and Multithreading

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.

ProxyPythonWeb Scraping

0 likes · 4 min read

Python Web Scraping Techniques: GET/POST, Proxy, Cookies, Browser Emulation, Gzip, and Multithreading

Python Crawling & Data Mining

Feb 2, 2021 · Backend Development

How to Seamlessly Run Python Code on a Remote Server Using PyCharm

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.

IDEPythonSSH

0 likes · 5 min read

How to Seamlessly Run Python Code on a Remote Server Using PyCharm