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Alibaba Terminal Technology
Alibaba Terminal Technology
May 25, 2021 · Frontend Development

Inside Alibaba’s Front‑End Visualization Showcase: Insights from CSIG’s Campus‑to‑Enterprise Event

The CSIG Visualization and Visual Analysis Committee’s visit to Alibaba’s Xixi Campus on May 21, 2021 brought together leading academics and industry experts to discuss graph data, big‑data research, spatio‑temporal data, low‑code design, and cutting‑edge visualization techniques, fostering deep industry‑academia collaboration.

Big Dataindustry‑academialow‑code
0 likes · 7 min read
Inside Alibaba’s Front‑End Visualization Showcase: Insights from CSIG’s Campus‑to‑Enterprise Event
Alibaba Cloud Native
Alibaba Cloud Native
May 24, 2021 · Operations

How to Build a Data‑Driven Stability Assurance System for Kubernetes Clusters

This article presents a systematic, data‑model‑driven approach to Kubernetes stability assurance, detailing the sources of complexity, a four‑diagram and three‑table data model, insight and pre‑plan structures, global visualisation concepts, deployment patterns, operational workflows, and competitive analysis to enable effective, iterative, and sustainable cluster stability management.

Kubernetesdata modelingincident management
0 likes · 15 min read
How to Build a Data‑Driven Stability Assurance System for Kubernetes Clusters
Python Crawling & Data Mining
Python Crawling & Data Mining
Apr 24, 2021 · Fundamentals

Discover 140+ Must‑Know Python Libraries for Data Science & AI

The article presents a comprehensive guide to Python's built‑in functions, standard libraries, and third‑party packages across file I/O, web scraping, databases, data cleaning, statistical analysis, machine learning, visualization, and more, rating each with stars and offering a free e‑book collection for readers.

PythonWeb Scrapingdata analysis
0 likes · 32 min read
Discover 140+ Must‑Know Python Libraries for Data Science & AI
Alibaba Terminal Technology
Alibaba Terminal Technology
Apr 8, 2021 · Frontend Development

How 2.5D Graphics Are Revolutionizing Front‑End Development for Industrial IoT

This article explores the concept of 2.5D graphics, explains why it remains valuable for industrial internet applications, compares CSS+JS, SVG and Canvas implementations, presents code samples and component designs, and details how Alibaba Cloud’s Digital Space project adopted Canvas and Konva to build low‑cost, high‑performance visualizations for industry IoT.

2.5DCanvasIndustrial IoT
0 likes · 23 min read
How 2.5D Graphics Are Revolutionizing Front‑End Development for Industrial IoT
DataFunTalk
DataFunTalk
Apr 4, 2021 · Big Data

User Profiling: Concepts, Practices, and Data‑Driven E‑Commerce Case Study

This article introduces the fundamentals of user profiling, explains tag types and their business value, and demonstrates a data‑driven e‑commerce case study that analyzes gender, age, region, marital status, education, profession, product preferences, purchase timing, and price sensitivity to guide targeted promotion strategies.

MarketingPythondata analysis
0 likes · 16 min read
User Profiling: Concepts, Practices, and Data‑Driven E‑Commerce Case Study
Meituan Technology Team
Meituan Technology Team
Apr 1, 2021 · Databases

Meituan's Graph Database Selection and Platform Construction

Meituan evaluated open‑source distributed graph databases against strict latency, scale, and import criteria, selected NebulaGraph for its superior multi‑hop query and bulk‑load performance, and built a four‑layer, highly available platform that ingests petabyte‑scale data in real time, supports diverse business use cases, and provides interactive visualization.

Distributed SystemsNebulaGraphdata ingestion
0 likes · 21 min read
Meituan's Graph Database Selection and Platform Construction
Meituan Technology Team
Meituan Technology Team
Mar 25, 2021 · Frontend Development

Automated Generation of Front-End Code from Design Drafts: Architecture and Algorithms

The article presents a three‑stage pipeline that automatically transforms Sketch design drafts into a DSL view tree, infers layout and style properties, and generates Meituan‑compatible static front‑end code, while offering visual tools for layer cleanup, component recognition, and property adjustment to ensure high‑fidelity mobile UI reproduction.

AutomationCode GenerationDSL
0 likes · 19 min read
Automated Generation of Front-End Code from Design Drafts: Architecture and Algorithms
Alibaba Terminal Technology
Alibaba Terminal Technology
Mar 25, 2021 · Frontend Development

Building an IDC Digital Twin with 3D Web Technology: A Front‑End Blueprint

This article details the technical design and implementation of an IDC digital‑twin platform, covering business requirements, a three‑dimensional interactive framework built on React and ThreeJS, component architecture, user interaction, visual rendering, performance optimizations, and future development plans.

3D webDigital TwinFrontend Architecture
0 likes · 9 min read
Building an IDC Digital Twin with 3D Web Technology: A Front‑End Blueprint
ITPUB
ITPUB
Mar 21, 2021 · Databases

Which Redis GUI Tool Is Best? A Hands‑On Comparison of 11 Options

This article evaluates eleven popular Redis visualization tools—desktop clients, web applications, and IDE plugins—detailing their features, platform support, pricing, and pros and cons, while providing URLs and screenshots to help developers choose the most efficient solution for debugging and monitoring.

ComparisonDatabase ToolsGUI
0 likes · 11 min read
Which Redis GUI Tool Is Best? A Hands‑On Comparison of 11 Options
Liangxu Linux
Liangxu Linux
Mar 21, 2021 · Operations

Visualize Linux Disk Usage with Filelight: Installation and Quick Guide

Filelight, an open-source KDE disk-usage visualizer, can be installed on any Linux distribution using the native package manager (pacman, apt, dnf, zypper), then launched to display colorful radial maps of filesystem space, with options to scan specific folders, adjust settings, and exclude virtual directories.

FilelightKDELinux
0 likes · 5 min read
Visualize Linux Disk Usage with Filelight: Installation and Quick Guide
MaGe Linux Operations
MaGe Linux Operations
Mar 6, 2021 · Artificial Intelligence

Discover Communities: A Python Library for Graph Clustering Visualization

This article introduces the Python library communities, which detects and visualizes community structures in graph‑clustering problems, supports multiple algorithms such as Louvain and Girvan‑Newman, provides code examples for importing algorithms, building adjacency matrices, visualizing results with color coding, and creating animation GIFs of the clustering process.

Algorithmscommunity-detectiongraph-clustering
0 likes · 7 min read
Discover Communities: A Python Library for Graph Clustering Visualization
Python Crawling & Data Mining
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 NetworksNetwork MetricsPython
0 likes · 19 min read
Uncovering Tianjin’s Bus Network: From Raw GPS Data to Complex Network Insights
21CTO
21CTO
Mar 2, 2021 · Big Data

How Suning’s Data Platform Unifies OLAP, Metrics, Visualization & Reporting

Suning’s Data Middle Platform integrates an accelerated OLAP engine, a star‑schema metric system, a visualization tool built on standardized dimensions, and a unified report portal to solve data silos, improve security, and enable enterprises to evolve into technology‑driven organizations.

AnalyticsBig DataData Platform
0 likes · 3 min read
How Suning’s Data Platform Unifies OLAP, Metrics, Visualization & Reporting
Didi Tech
Didi Tech
Feb 25, 2021 · Frontend Development

Why LogicFlow Is the Ideal Front-End Framework for Flowchart Visualization

LogicFlow, born from DiDi's intelligent middle‑platform, provides a flexible, SVG‑based flowchart editor with rich APIs, MVVM architecture, and extensibility that lets front‑end developers quickly build and customize workflow visualizations while outperforming competing libraries in rendering speed.

ExtensionFlowchartLogicFlow
0 likes · 17 min read
Why LogicFlow Is the Ideal Front-End Framework for Flowchart Visualization
Efficient Ops
Efficient Ops
Feb 24, 2021 · Operations

How DevOps Drives Enterprise Digital Transformation: Key Insights

This article explains how DevOps evolution intertwines with the surge of internet services, outlines its three conceptual phases, and demonstrates how digital visualization—both terminal‑focused and scenario‑focused—enhances organizational efficiency, quality, and decision‑making during enterprise digital transformation.

DevOpsDigital TransformationEnterprise
0 likes · 9 min read
How DevOps Drives Enterprise Digital Transformation: Key Insights
MaGe Linux Operations
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
Code Ape Tech Column
Code Ape Tech Column
Jan 13, 2021 · Fundamentals

How to Craft Clear Architecture Diagrams with the C4 Model

This article explains the fundamentals of software architecture diagrams, outlines the purpose and classification of different diagram types, describes common pitfalls, and provides a step‑by‑step guide to using the C4 model—including system context, container, component, and class diagrams—plus a real‑world case study.

C4 ModelSystem Designarchitecture
0 likes · 11 min read
How to Craft Clear Architecture Diagrams with the C4 Model
Python Crawling & Data Mining
Python Crawling & Data Mining
Dec 27, 2020 · Fundamentals

What Do China’s Divorce Rates Reveal? A Decade of Data Visualization and Analysis

Using publicly available statistics from the National Bureau of Statistics, this article visualizes and analyzes China’s divorce rates over the past decade, comparing national trends, provincial variations, and city-specific patterns such as Beijing versus Shanghai, revealing a steady increase and regional disparities.

AltairPyechartsPython
0 likes · 8 min read
What Do China’s Divorce Rates Reveal? A Decade of Data Visualization and Analysis
Code Ape Tech Column
Code Ape Tech Column
Dec 22, 2020 · Databases

Comparison and Review of Popular Redis Visualization Tools

This article evaluates and compares a range of Redis visualization tools—including desktop clients, web applications, and IDE plugins—by examining their features, usability, platform support, pricing, and command‑line integration to help developers choose the most suitable solution for their workflow.

Desktop ClientIDE pluginTool comparison
0 likes · 9 min read
Comparison and Review of Popular Redis Visualization Tools
Alibaba Terminal Technology
Alibaba Terminal Technology
Nov 23, 2020 · Frontend Development

Unlock Powerful Graph Editing with AntV X6: Features, APIs, and Demos

This article introduces AntV X6, a versatile JavaScript graph‑editing engine, covering its core capabilities such as node and edge creation, custom HTML/React nodes, rich connection styles, grid and background options, interactive tools like ports, grouping, selection, undo/redo, and provides links to tutorials, demos, and extensibility mechanisms.

AntV X6DAGER Diagram
0 likes · 11 min read
Unlock Powerful Graph Editing with AntV X6: Features, APIs, and Demos
Architects Research Society
Architects Research Society
Nov 7, 2020 · Fundamentals

Macro Technology Trends: Democratized Programming, Rust’s Growth, Visualization Tools, Infrastructure as Code, and Browsers as Application Platforms

This article surveys current macro‑technology trends, covering the democratization of programming through low‑code platforms, Rust’s expanding role in big‑data and machine‑learning, the rise of code‑centric visualization tools, the maturation of infrastructure‑as‑code practices, and how browsers have unintentionally become full‑featured application platforms.

Infrastructure as CodeRustbrowser-platform
0 likes · 13 min read
Macro Technology Trends: Democratized Programming, Rust’s Growth, Visualization Tools, Infrastructure as Code, and Browsers as Application Platforms
Efficient Ops
Efficient Ops
Oct 21, 2020 · Operations

Mastering Sampler: Real-Time Shell Command Monitoring, Visualization, and Alerts

Sampler is a lightweight tool that lets you execute shell commands, visualize their output, and set up alerts using simple YAML configurations, enabling real‑time monitoring of databases, message queues, deployment scripts, and remote servers without requiring a full‑blown monitoring stack.

OperationsYAML configurationsampler
0 likes · 14 min read
Mastering Sampler: Real-Time Shell Command Monitoring, Visualization, and Alerts
Liangxu Linux
Liangxu Linux
Oct 7, 2020 · Operations

Turn Shell Commands into Real‑Time Visual Dashboards with Sampler

Sampler is a lightweight tool that runs shell commands, visualizes their output, and can trigger alerts; configured via simple YAML, it works on macOS, Linux and Windows, supports various components such as runcharts, sparklines, gauges, and interactive shells for monitoring databases, queues and system metrics.

DevOpsShellYAML
0 likes · 15 min read
Turn Shell Commands into Real‑Time Visual Dashboards with Sampler
Youku Technology
Youku Technology
Sep 28, 2020 · Frontend Development

How Youku Built a TV‑Focused Front‑End Framework with a Focus Engine

The article recounts five years of Youku’s OTT front‑end evolution, detailing the challenges of remote‑control navigation, the design of a component‑tree and focus‑engine architecture, and the progressive shift from raw source development through templating to a visual‑building platform that boosted efficiency, quality, and user engagement.

Component TreeFocus EngineFront-end
0 likes · 13 min read
How Youku Built a TV‑Focused Front‑End Framework with a Focus Engine
MaGe Linux Operations
MaGe Linux Operations
Sep 13, 2020 · Artificial Intelligence

Beyond Pandas: 10 Lesser‑Known Python Libraries Every Data Scientist Should Try

This article introduces a curated collection of lesser‑known Python libraries for data‑science tasks—including wget, pendulum, imbalanced‑learn, flashtext, fuzzywuzzy, pyflux, ipyvolume, dash, and gym—detailing their purpose, installation commands, and concise code examples to help practitioners expand their toolkit.

NLPPythonTime Series
0 likes · 9 min read
Beyond Pandas: 10 Lesser‑Known Python Libraries Every Data Scientist Should Try
MaGe Linux Operations
MaGe Linux Operations
Aug 28, 2020 · Fundamentals

7 Powerful Jupyter Tricks to Supercharge Your Data Analysis

This guide presents seven practical techniques—from using Pandas Profiling and Cufflinks‑Plotly visualizations to mastering IPython magic commands, Jupyter formatting, keyboard shortcuts, multiple outputs, and live slide conversion with RISE—to accelerate and enrich everyday data analysis workflows.

IPythonPythondata analysis
0 likes · 9 min read
7 Powerful Jupyter Tricks to Supercharge Your Data Analysis
MaGe Linux Operations
MaGe Linux Operations
Aug 20, 2020 · Artificial Intelligence

Explore 10 Lesser-Known Python Libraries for Data Science & AI

This article introduces a curated selection of lesser‑known Python packages—such as wget, pendulum, imbalanced‑learn, FlashText, fuzzywuzzy, PyFlux, ipyvolume, Dash, and Gym—detailing their installation commands, core functionalities, and code examples to help data scientists expand their toolkit beyond the usual pandas, scikit‑learn, and matplotlib.

Data ScienceNLPPython
0 likes · 9 min read
Explore 10 Lesser-Known Python Libraries for Data Science & AI
Architecture Digest
Architecture Digest
Aug 9, 2020 · Databases

Comparative Review of Popular Redis Visualization Tools

This article provides a detailed comparison of eight widely used Redis visualization tools—including desktop clients, web applications, and IDE plugins—covering their features, UI quality, pricing, command‑line integration, support for Redis data types such as streams, and overall suitability for developers.

CLIComparisonGUI
0 likes · 9 min read
Comparative Review of Popular Redis Visualization Tools
JD Tech Talk
JD Tech Talk
Aug 4, 2020 · Artificial Intelligence

Champion Chasing Boy Team’s Solution for the 2020 Digital China Innovation Contest – Digital Government Track

The Champion Chasing Boy team presents a comprehensive AI‑driven solution for the 2020 Digital China Innovation Contest, detailing the competition background, data sources, feature engineering, LightGBM modeling, trajectory‑matching algorithms, system architecture, visual analytics, and safety monitoring for maritime vessel activity classification.

AILightGBMMaritime Analytics
0 likes · 10 min read
Champion Chasing Boy Team’s Solution for the 2020 Digital China Innovation Contest – Digital Government Track
Python Crawling & Data Mining
Python Crawling & Data Mining
Jun 17, 2020 · Big Data

What Do Heart‑Disease Data Reveal? A Python‑Driven Exploratory Analysis

This article walks through a Python‑based exploratory analysis of a public heart‑disease dataset, loading the data, describing its 14 clinical features, visualizing gender, age, heart‑rate, blood‑pressure and cholesterol relationships, and presenting correlation insights to help understand patterns of disease prevalence.

Pythoncorrelationexploratory data analysis
0 likes · 18 min read
What Do Heart‑Disease Data Reveal? A Python‑Driven Exploratory Analysis
Python Programming Learning Circle
Python Programming Learning Circle
Jun 12, 2020 · Artificial Intelligence

Visualizing Convolutional Neural Networks: Methods and Practical Examples

This article explains why visualizing CNN models is crucial for understanding and debugging deep learning systems, outlines three main visualization approaches—basic architecture, activation‑based, and gradient‑based methods—and provides step‑by‑step Keras code examples, including model summary, filter visualization, occlusion mapping, saliency maps, and class activation maps.

CNNDeep LearningKeras
0 likes · 13 min read
Visualizing Convolutional Neural Networks: Methods and Practical Examples
Programmer DD
Programmer DD
Jun 11, 2020 · Databases

13 Must-Have MongoDB GUI Tools for Efficient Database Management

This article introduces thirteen popular MongoDB graphical tools—including Robo 3T, Navicat, Compass, NoSQLBooster, ClusterControl, NoSQLClient, Studio 3T, Mongo Management Studio, Aqua Data Studio, phpMoAdmin, Mongotron, Mongolime, and mongo‑express—detailing their key features, platform support, and download links to help users choose the best visual interface for database administration.

AdministrationDatabase ToolsGUI
0 likes · 15 min read
13 Must-Have MongoDB GUI Tools for Efficient Database Management
Efficient Ops
Efficient Ops
Jun 7, 2020 · Operations

How Sampler Turns Shell Commands into Real‑Time Visual Metrics

Sampler is a lightweight tool that lets you execute shell commands, visualize their output, and set up alerts—all via a simple YAML configuration, making it ideal for on‑the‑fly monitoring of databases, message queues, deployments, and remote servers.

samplervisualization
0 likes · 17 min read
How Sampler Turns Shell Commands into Real‑Time Visual Metrics
Alibaba Cloud Native
Alibaba Cloud Native
May 11, 2020 · Cloud Native

Visualizing OAM: Step‑by‑Step Deployment of a Cloud‑Native Application

This article explains the Open Application Model (OAM), its core concepts of Components, Application Configuration and Traits, and demonstrates a visual platform that lets users create, configure, version, and publish a multi‑component application (nginx, tomcat, redis) on Kubernetes with detailed screenshots and a GitHub demo repository.

Application DeploymentCloud NativeKubernetes
0 likes · 12 min read
Visualizing OAM: Step‑by‑Step Deployment of a Cloud‑Native Application
Top Architect
Top Architect
Apr 10, 2020 · Fundamentals

How to Create Effective Software Architecture Diagrams: Concepts, Types, and Best Practices

This article explains the purpose and benefits of software architecture diagrams, defines key concepts such as architecture and diagram types, outlines common pitfalls, introduces the 4+1 and C4 modeling approaches, and provides practical guidance and examples for producing clear, audience‑focused diagrams.

C4 ModelSoftware ArchitectureSystem Design
0 likes · 10 min read
How to Create Effective Software Architecture Diagrams: Concepts, Types, and Best Practices
Qunar Tech Salon
Qunar Tech Salon
Feb 21, 2020 · Artificial Intelligence

Building an End‑to‑End Data‑Model Loop for Alibaba XiaoMi AI Services

The article describes how Alibaba's XiaoMi AI platform constructs a closed‑loop pipeline—from data collection and annotation to model training, evaluation, and real‑time deployment—using multi‑dimensional data processing, visualization, and Spark‑based engines to accelerate iterative improvements and address operational pain points.

AIBig DataModel Training
0 likes · 9 min read
Building an End‑to‑End Data‑Model Loop for Alibaba XiaoMi AI Services
DataFunTalk
DataFunTalk
Feb 17, 2020 · Artificial Intelligence

Building a Closed‑Loop AI System: From Data Collection to Model Deployment in Alibaba’s XiaoMi

This article explains how Alibaba’s XiaoMi team constructs a full‑cycle AI pipeline—covering real‑time and offline data processing, high‑dimensional visualization, model training, iterative feedback, and Spark‑based deployment—to accelerate intelligent product iteration while addressing common engineering pain points.

AIBig DataReal-time Processing
0 likes · 10 min read
Building a Closed‑Loop AI System: From Data Collection to Model Deployment in Alibaba’s XiaoMi
21CTO
21CTO
Sep 17, 2019 · Frontend Development

Top 5 JavaScript Libraries for Building Interactive Organizational Charts

This article compares five JavaScript diagramming libraries—DHTMLX, JointJS, Rappid, yFiles for HTML, Google Charts, and GetOrgChart—by examining their features, documentation, and user experience to help developers choose the right tool for creating online organizational charts.

Diagram LibraryJavaScriptOrganizational Chart
0 likes · 8 min read
Top 5 JavaScript Libraries for Building Interactive Organizational Charts
Python Crawling & Data Mining
Python Crawling & Data Mining
Aug 11, 2019 · Fundamentals

How to Scrape and Visualize a Year of Global Earthquake Data with Python

This tutorial walks you through discovering a real‑time earthquake data source, analyzing its pagination API, building a Python scraper with requests, parsing the JSON responses, storing the results in CSV, and performing visual analyses such as top‑magnitude locations, monthly frequency, repeat‑site counts, magnitude distribution, and word‑cloud generation.

CSVEarthquake DataPython
0 likes · 8 min read
How to Scrape and Visualize a Year of Global Earthquake Data with Python
ITPUB
ITPUB
Jun 5, 2019 · Operations

Visualize Linux Disk Usage with Duc: Install, Index, and Graphical Views

This guide introduces the Duc tool for visualizing Linux disk usage, covering its supported interfaces and databases, step‑by‑step installation on Debian‑based systems and from source, core commands for indexing and querying, and how to generate terminal and graphical visualizations.

DucLinuxSystem Tools
0 likes · 6 min read
Visualize Linux Disk Usage with Duc: Install, Index, and Graphical Views
Liangxu Linux
Liangxu Linux
May 28, 2019 · Operations

Mastering Duc: Visual Disk Usage Analysis for Linux Systems

This guide introduces the open‑source Duc tool, explains its supported interfaces and database back‑ends, provides step‑by‑step installation instructions for Debian‑based and source builds, and demonstrates core commands for indexing, querying, and visualizing disk usage on Linux.

Duccommand-linedisk usage
0 likes · 6 min read
Mastering Duc: Visual Disk Usage Analysis for Linux Systems
dbaplus Community
dbaplus Community
May 22, 2019 · Operations

Designing a Scalable Monitoring System: From Data Collection to Alerting

This article explains how to build a comprehensive monitoring system for distributed applications by classifying monitoring functions, describing data quadrants, outlining core modules such as collection, processing, feature extraction, and visualization, and reviewing typical implementations for metrics, logs, tracing, alerting, and the key open‑source components involved.

Distributed SystemsMetricsmonitoring
0 likes · 18 min read
Designing a Scalable Monitoring System: From Data Collection to Alerting
ITPUB
ITPUB
Apr 16, 2019 · Fundamentals

What the Linux Kernel Looks Like Inside: A Comic Walkthrough

This article explains a whimsical comic that visualizes the Linux kernel as a multi‑layered house, detailing the foundation of file cabinets, the process table, key system processes like init, cron, Apache and SSH, the role of TTY terminals, and related Linux concepts.

ComicKernelLinux
0 likes · 7 min read
What the Linux Kernel Looks Like Inside: A Comic Walkthrough
Python Crawling & Data Mining
Python Crawling & Data Mining
Apr 4, 2019 · Artificial Intelligence

Build and Visualize Three Kingdoms Character Networks with Python

This article demonstrates how to extract the character relationships from the classic novel Romance of the Three Kingdoms using Python, building entity dictionaries, constructing a co‑occurrence social network with HarvestText and NetworkX, visualizing subgraphs, ranking important figures, detecting communities, and creating an animated view of the network’s evolution over the story.

HarvestTextNLPPython
0 likes · 13 min read
Build and Visualize Three Kingdoms Character Networks with Python
MaGe Linux Operations
MaGe Linux Operations
Mar 29, 2019 · Fundamentals

Unlock Powerful Data Analysis with Pandas: A Hands‑On Guide

This tutorial walks you through importing Pandas, understanding its Series and DataFrame structures, loading CSV data, inspecting, filtering, indexing, reshaping, merging, visualizing, and finally saving datasets, providing a comprehensive foundation for scientific Python data analysis.

dataframefilteringpandas
0 likes · 15 min read
Unlock Powerful Data Analysis with Pandas: A Hands‑On Guide
Tencent Cloud Developer
Tencent Cloud Developer
Feb 19, 2019 · Databases

What Makes a Great Database Management Tool? Key Features and Tencent Cloud DMC Review

This article analyzes the evolving demands of modern databases, outlines essential features for remote management tools, compares open‑source and cloud‑based solutions, and evaluates Tencent Cloud’s console, DMC, and integrated phpMyAdmin, highlighting strengths, shortcomings, and future development directions.

Database ManagementSecurityTencent Cloud
0 likes · 11 min read
What Makes a Great Database Management Tool? Key Features and Tencent Cloud DMC Review
AI Large-Model Wave and Transformation Guide
AI Large-Model Wave and Transformation Guide
Jan 6, 2019 · Artificial Intelligence

Can JavaScript Teach k‑Nearest Neighbors? Build a Visual kNN Classifier from Scratch

This article walks through the theory of k‑nearest‑neighbors, explains feature selection and normalization, shows how to implement the algorithm with plain JavaScript classes, visualizes results on an HTML canvas, and discusses practical limitations and extensions.

JavaScriptalgorithm implementationfeature normalization
0 likes · 22 min read
Can JavaScript Teach k‑Nearest Neighbors? Build a Visual kNN Classifier from Scratch
Efficient Ops
Efficient Ops
Dec 18, 2018 · Operations

Why Visualization Is the Core of Modern Operations Automation

The article explains how visualizing both service delivery and service metrics transforms large‑scale operations into agile, data‑driven DevOps practices, emphasizing automated packaging, continuous delivery, and unified dashboards to improve efficiency, consistency, and fault‑tolerance.

Data-drivenService Deliveryvisualization
0 likes · 10 min read
Why Visualization Is the Core of Modern Operations Automation
Python Crawling & Data Mining
Python Crawling & Data Mining
Nov 27, 2018 · Big Data

What Do Python Jobs Really Pay? Inside a Data‑Driven Salary & Skill Analysis

This article crawls Lagou.com to collect 4,500 Python‑related job postings across ten roles, extracts salary, education, experience and skill requirements, visualizes the data with treemaps, rose charts, bar charts and word clouds, and provides detailed insights into each position’s market demands and compensation trends.

PythonSkillsdata analysis
0 likes · 18 min read
What Do Python Jobs Really Pay? Inside a Data‑Driven Salary & Skill Analysis
Python Crawling & Data Mining
Python Crawling & Data Mining
Nov 22, 2018 · Big Data

How to Scrape and Analyze China’s Tourist Attractions Data with Python

This article demonstrates how to crawl Qunar’s nationwide tourism listings with Python, extract key fields such as name, level, location and price, handle anti‑scraping measures, and then perform comprehensive data analysis and visualisation—including sales rankings, popularity scores, geographic distribution and geocoding using the Amap API.

GeocodingPythonTourism Data
0 likes · 11 min read
How to Scrape and Analyze China’s Tourist Attractions Data with Python
58UXD
58UXD
Oct 17, 2018 · Fundamentals

Master Structured Thinking: Unlock the 3‑Layer Model for Better Problem Solving

This article introduces a three‑layer structured thinking framework—understanding, reconstruction, and presentation—explaining how to define problems with SCQA, find entry points using MECE, validate hypotheses via a pyramid structure, and visualize solutions with the Structure Compass.

MECESCQAframeworks
0 likes · 12 min read
Master Structured Thinking: Unlock the 3‑Layer Model for Better Problem Solving
Qunar Tech Salon
Qunar Tech Salon
Oct 15, 2018 · Artificial Intelligence

Introduction to Decision Trees with scikit-learn

This article provides a comprehensive guide to decision tree algorithms, covering their theoretical background, classic use‑cases, scikit‑learn's DecisionTreeClassifier parameters, step‑by‑step Python examples for training, visualizing, and exporting trees, as well as a comparison of ID3, C4.5, and CART methods with their advantages and limitations.

Pythonclassificationdecision tree
0 likes · 20 min read
Introduction to Decision Trees with scikit-learn
Alibaba Cloud Developer
Alibaba Cloud Developer
Sep 27, 2018 · Artificial Intelligence

How DeepInsight Transforms Deep Learning Model Debugging with Real-Time Visualization

DeepInsight is a distributed, micro‑service‑based platform that provides end‑to‑end data exposure, multi‑dimensional visual analysis, and interactive debugging for TensorFlow models, turning opaque neural networks into transparent, controllable systems through real‑time visualizations, dynamic data sets, and integrated lifecycle management.

AI PlatformDeep LearningTensorFlow
0 likes · 17 min read
How DeepInsight Transforms Deep Learning Model Debugging with Real-Time Visualization
Efficient Ops
Efficient Ops
Sep 25, 2018 · Operations

How Minsheng Bank Built a Unified IT Operations Visualization Platform

This article details Minsheng Bank's journey in consolidating fragmented IT operations tools into a single visual platform—integrating CMDB, monitoring, automation, and change data—to improve daily monitoring, fault isolation, change impact analysis, and knowledge sharing while paving the way for AIOps.

CMDBaiopsvisualization
0 likes · 12 min read
How Minsheng Bank Built a Unified IT Operations Visualization Platform
ITPUB
ITPUB
Sep 4, 2018 · Fundamentals

Essential Python Libraries Every Data Scientist Should Know

This article surveys the most useful open‑source Python packages for data science, covering core numerical libraries, visualization tools, machine‑learning frameworks, natural‑language‑processing kits, and data‑mining utilities, while showing GitHub contribution metrics and Google‑trend popularity.

Data ScienceNLPPython
0 likes · 12 min read
Essential Python Libraries Every Data Scientist Should Know
Big Data and Microservices
Big Data and Microservices
Aug 16, 2018 · Big Data

Mastering Big Data Analysis: 5 Core Aspects and 4 Key Methods

This article outlines the five fundamental aspects of big data analysis—visualization, data‑mining algorithms, predictive analytics, semantic engines, and data quality management—and explains four primary analytical approaches: descriptive, diagnostic, predictive, and prescriptive analysis.

Big Datadata analysisdata mining
0 likes · 6 min read
Mastering Big Data Analysis: 5 Core Aspects and 4 Key Methods
Python Crawling & Data Mining
Python Crawling & Data Mining
Jul 31, 2018 · Big Data

Can Web‑Scraped Movie Reviews Predict Box Office? A Python Data‑Mining Case Study

Using Python to scrape over ten thousand Maoyan comments for the comedy film “The Billionaire” (西虹市首富), this article demonstrates data cleaning, geographic heat‑maps, city‑wise rating analysis, word‑cloud generation, and a simple box‑office forecast based on a comparable movie, illustrating practical web‑scraping and data‑mining techniques.

Box Office PredictionMovie ReviewsPython
0 likes · 10 min read
Can Web‑Scraped Movie Reviews Predict Box Office? A Python Data‑Mining Case Study
MaGe Linux Operations
MaGe Linux Operations
Jul 27, 2018 · Fundamentals

Master Pandas: Essential Techniques for Data Exploration and Analysis

This tutorial introduces Pandas fundamentals, covering installation, data structures, importing CSV files, inspecting and reshaping data, filtering with boolean masks, indexing, applying functions, grouping, merging, quick plotting, and saving results, all illustrated with clear examples and images.

Pythondata analysisdataframe
0 likes · 14 min read
Master Pandas: Essential Techniques for Data Exploration and Analysis
Efficient Ops
Efficient Ops
Jun 21, 2018 · Fundamentals

Can Python Predict the 2018 World Cup Champion? A Data‑Driven Analysis

This article demonstrates how to use Python, pandas, and Jupyter Notebook to explore a comprehensive World Cup dataset, clean and enrich the data, visualize win and goal statistics for all teams, and finally predict the top three contenders for the 2018 tournament.

PythonSports AnalyticsWorld Cup
0 likes · 12 min read
Can Python Predict the 2018 World Cup Champion? A Data‑Driven Analysis
JD Tech
JD Tech
Apr 17, 2018 · Operations

Overwatch: A Distributed Real‑Time RPC Monitoring Platform for System Observability

The article describes Overwatch, a distributed monitoring system developed by Dada‑JD Daojia that collects, aggregates, and visualizes RPC traffic in real time using consumer‑side agents, Kafka, Storm, and a Node.js CQRS architecture, enabling engineers to quickly locate and resolve service failures.

CQRSDistributed MonitoringRPC
0 likes · 8 min read
Overwatch: A Distributed Real‑Time RPC Monitoring Platform for System Observability
Meituan Technology Team
Meituan Technology Team
Feb 8, 2018 · Big Data

Operational Topic Data Productization: Architecture, Modeling, and Service Layers at Meituan-Dianping

To tackle Meituan‑Dianping’s massive POI and user data challenges, the team built a hybrid 3NF‑plus‑dimensional data warehouse with ODS, BAS, FACT, and optional TOPIC layers, added Kylin‑based pre‑computation cubes, a plug‑in middle‑platform service (metric dictionary, rule engine, compute engine), and interactive ECharts visualizations, delivering unified metrics, faster ad‑hoc queries, scalable analytics, and reduced development costs.

PrecomputationService Architecturevisualization
0 likes · 17 min read
Operational Topic Data Productization: Architecture, Modeling, and Service Layers at Meituan-Dianping
MaGe Linux Operations
MaGe Linux Operations
Nov 22, 2017 · Artificial Intelligence

Top 15 Python Libraries Every Data Scientist Should Master in 2017

This article surveys the most essential Python packages for data science in 2017, covering core scientific computing, data manipulation, visualization, machine learning, deep learning, natural language processing, and web scraping, and explains why each library remains indispensable for modern analysts.

Data ScienceNLPPython
0 likes · 13 min read
Top 15 Python Libraries Every Data Scientist Should Master in 2017
21CTO
21CTO
Nov 6, 2017 · Artificial Intelligence

Predict Retail Sales Without Coding: A Complete KNIME Tutorial

This step‑by‑step guide shows beginners how to use the GUI‑driven KNIME platform to import, clean, visualize, and model the BigMart sales dataset, enabling accurate retail sales predictions without writing any code.

KNIMENo-codedata cleaning
0 likes · 12 min read
Predict Retail Sales Without Coding: A Complete KNIME Tutorial
Dada Group Technology
Dada Group Technology
Sep 29, 2017 · Operations

Overwatch: A Distributed System Monitoring Platform for Real‑Time RPC Visibility

Overwatch is an open‑source distributed monitoring platform built by Dada‑Jingdong Home that collects, aggregates, and visualizes RPC traffic across thousands of micro‑services in real time, enabling engineers to quickly pinpoint the root cause of system failures using directed‑graph visualizations and CQRS‑based data queries.

CQRSKafkaRPC
0 likes · 10 min read
Overwatch: A Distributed System Monitoring Platform for Real‑Time RPC Visibility
MaGe Linux Operations
MaGe Linux Operations
Jun 27, 2017 · Artificial Intelligence

Top Python Libraries Every Data Scientist Should Master

This article reviews the most essential Python libraries for data science—including NumPy, SciPy, Pandas, Matplotlib, Seaborn, Bokeh, Plotly, Scikit‑Learn, TensorFlow, Keras, NLTK, Gensim, Scrapy and Statsmodels—highlighting their core features, GitHub activity and typical use cases.

NLPdata-sciencelibraries
0 likes · 12 min read
Top Python Libraries Every Data Scientist Should Master
MaGe Linux Operations
MaGe Linux Operations
Jun 5, 2017 · Artificial Intelligence

Top 15 Python Libraries Every Data Scientist Should Master

This article surveys the most essential Python packages for data science, covering core scientific libraries, visualization tools, machine‑learning frameworks, natural‑language‑processing kits, and data‑mining utilities, with brief descriptions and links to each project.

data-sciencelibrariesmachine-learning
0 likes · 12 min read
Top 15 Python Libraries Every Data Scientist Should Master
Architects Research Society
Architects Research Society
Nov 21, 2016 · Artificial Intelligence

Data Science Q&A: Overfitting, Experimental Design, Tall/Wide Data, Chart Junk, Outliers, Extreme Value Theory, Recommendation Engines, and Visualization

This article presents a series of data‑science questions and expert answers covering overfitting, experimental design for user behavior, the distinction between tall and wide data, detecting chart junk, outlier detection methods, extreme‑value theory for rare events, recommendation‑engine fundamentals, and techniques for visualizing high‑dimensional data.

Extreme Value TheoryRecommendation Systemschart junk
0 likes · 18 min read
Data Science Q&A: Overfitting, Experimental Design, Tall/Wide Data, Chart Junk, Outliers, Extreme Value Theory, Recommendation Engines, and Visualization
Efficient Ops
Efficient Ops
Sep 19, 2016 · Operations

How Ctrip Revolutionized IDC Management with Visual Automation

Ctrip’s rapid internet growth forced a massive data‑center expansion, prompting the company to evolve from self‑built facilities to hybrid vendor‑leased IDC, and ultimately to a visual management platform that automates monitoring, space planning, device intake, and operational workflows, dramatically improving efficiency and reducing manual effort.

CMDBInfrastructurevisualization
0 likes · 13 min read
How Ctrip Revolutionized IDC Management with Visual Automation
Architecture Digest
Architecture Digest
Sep 12, 2016 · Artificial Intelligence

Design and Implementation of a Real‑Time, Highly Available General Recommendation Platform at YHD

The article describes how YHD's precision recommendation team built a real‑time, highly available, traceable general recommendation platform, detailing its background, overall architecture, visual configuration and traceability subsystems, and reporting significant improvements in development speed, reuse and user satisfaction.

AIHBaseKafka
0 likes · 8 min read
Design and Implementation of a Real‑Time, Highly Available General Recommendation Platform at YHD
21CTO
21CTO
Jun 16, 2016 · Big Data

Building a Simple Open‑Source Self‑Service BI Platform with Flask & React

This article introduces dataplay2, an open‑source self‑service BI platform built with Flask, pandas, scikit‑learn on the backend and React, ECharts, D3, and other JavaScript libraries on the frontend, detailing its architecture, installation steps, core features such as data upload, visualization, classification, clustering, and future improvement ideas.

BIdata analysismachine learning
0 likes · 11 min read
Building a Simple Open‑Source Self‑Service BI Platform with Flask & React
DevOps
DevOps
Apr 29, 2016 · Product Management

Impact Mapping: Visualizing Requirements and Applying It to Film Analysis

This article introduces Impact Mapping as a powerful visual technique for turning abstract business goals into concrete software features, illustrates its use with a detailed analysis of the movie "The Secret Life of Walter Mitty," and explains how the method integrates with user‑story mapping in product development.

Strategic Designimpact mappingproduct planning
0 likes · 9 min read
Impact Mapping: Visualizing Requirements and Applying It to Film Analysis
Java High-Performance Architecture
Java High-Performance Architecture
Mar 15, 2016 · Operations

Building a 3-Dimensional Automated Visual Monitoring System for High-Availability

The article describes a three-dimensional, automated, visual monitoring approach for high-availability systems, detailing a five-layer monitoring model, automated log collection using Logstash-Redis-Elasticsearch, and visualization techniques that together reduce fault-locating time and improve operational efficiency.

AutomationOperationsSystem Design
0 likes · 5 min read
Building a 3-Dimensional Automated Visual Monitoring System for High-Availability