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AntTech
AntTech
Aug 6, 2018 · Frontend Development

From Frontend to Experience Technology: Wang Baoping’s Perspective on the Evolution and Future of Frontend Engineering

The article shares Wang Baoping’s (Yu Bo) reflections on the essence of frontend technology, the rise of BFF architecture, the convergence with mobile, IoT and experience tech, and outlines future directions such as TWA, UI intelligence, data visualization, and natural‑virtual interaction.

BFFData visualizationUI intelligence
0 likes · 11 min read
From Frontend to Experience Technology: Wang Baoping’s Perspective on the Evolution and Future of Frontend Engineering
MaGe Linux Operations
MaGe Linux Operations
Aug 5, 2018 · Fundamentals

Master Matplotlib: Quick Start Guide to Plotting in Python

This beginner-friendly tutorial walks you through setting up Matplotlib, installing the library, and creating a variety of basic visualizations—including line plots, scatter plots, pie charts, bar charts, and histograms—while also covering multiple figures, subplots, and customization options for each chart type.

Data visualizationMatplotlibTutorial
0 likes · 12 min read
Master Matplotlib: Quick Start Guide to Plotting in Python
Meituan Technology Team
Meituan Technology Team
Aug 2, 2018 · Big Data

R for Fine‑Grained Data Operations: Engineering Practices and Performance at Meituan

Meituan’s in‑store dining team demonstrates how R’s open‑source packages, powerful data manipulation, rich visualization libraries, and reproducible reporting can be engineered into scalable, parallelized workflows that turn secondary data processing into fast, interactive dashboards and analytics, proving R’s enterprise‑grade performance and adoption.

Big DataData visualizationR
0 likes · 18 min read
R for Fine‑Grained Data Operations: Engineering Practices and Performance at Meituan
AntTech
AntTech
Jul 13, 2018 · Frontend Development

AntV G2 3.2 Release: New Visual Enhancements, Tail‑Legend, RegionFilter Guide, Data Marker Guides, Flexible Component Configurations, and Chart‑Level Themes

The G2 3.2 release from AntV introduces a richer visual cognition system with tail‑legend support, region‑filter color guides, new data marker guides, more flexible component configurations, and chart‑level theme customization, while providing installation options via npm or CDN for developers to try the latest features.

AntVData visualizationG2
0 likes · 7 min read
AntV G2 3.2 Release: New Visual Enhancements, Tail‑Legend, RegionFilter Guide, Data Marker Guides, Flexible Component Configurations, and Chart‑Level Themes
MaGe Linux Operations
MaGe Linux Operations
Jun 23, 2018 · Fundamentals

Master Matplotlib: Quick Start Guide to Plotting in Python

This tutorial introduces Matplotlib, a powerful Python 2D plotting library, covering installation, basic usage, multiple figure handling, subplots, and common chart types such as line, scatter, pie, bar, and histogram with clear code examples and visual illustrations.

Data visualizationMatplotlibTutorial
0 likes · 12 min read
Master Matplotlib: Quick Start Guide to Plotting in Python
360 Tech Engineering
360 Tech Engineering
Jun 20, 2018 · Frontend Development

Introducing SpriteJS: A Cross‑Platform Canvas Rendering Library for Animations and Data Visualization

SpriteJS is an open‑source, cross‑platform JavaScript library that simplifies canvas drawing by providing a DOM‑like API for creating sprites, paths, groups, and animations, integrating seamlessly with tools such as D3, Matter‑JS, Proton, and CurveJS for rich interactive visualizations.

CanvasData visualizationJavaScript
0 likes · 27 min read
Introducing SpriteJS: A Cross‑Platform Canvas Rendering Library for Animations and Data Visualization
360 Quality & Efficiency
360 Quality & Efficiency
Jun 20, 2018 · Frontend Development

SpriteJS: A Cross‑Platform Canvas Library for Web Animation, Visualization, and Interaction

SpriteJS is an open‑source, cross‑terminal canvas library from 360 Qiyou that provides a DOM‑like API for drawing shapes, creating sprites, animating with transitions or the Web Animation API, handling textures, vectors, groups, events, and integrating with D3, physics engines and particle systems.

CanvasData visualizationJavaScript
0 likes · 29 min read
SpriteJS: A Cross‑Platform Canvas Library for Web Animation, Visualization, and Interaction
Suning Technology
Suning Technology
May 14, 2018 · Frontend Development

Highlights from Suning’s 2018 Front‑End Tech Forum: Node.js, React, WebRTC & Data Viz

The Suning Front‑End Technology Forum in May 2018 gathered over 500 engineers to share insights on Node.js performance tuning, React 16's new features, WebRTC for online education, WebAssembly‑based optimization, and dashboard data‑visualization techniques, offering a comprehensive snapshot of modern front‑end advancements.

Data visualizationReactWebAssembly
0 likes · 6 min read
Highlights from Suning’s 2018 Front‑End Tech Forum: Node.js, React, WebRTC & Data Viz
MaGe Linux Operations
MaGe Linux Operations
May 8, 2018 · Fundamentals

How to Scrape Lagou Python Job Data and Visualize Trends with Python

This tutorial demonstrates how to collect Python job postings from Lagou using Python's requests library, process the JSON response with pandas, and create insightful visualizations—including bar charts, word clouds, and geographic heatmaps—while handling anti‑scraping measures and data cleaning steps.

Data visualizationLagouMatplotlib
0 likes · 9 min read
How to Scrape Lagou Python Job Data and Visualize Trends with Python
网易UEDC
网易UEDC
Jan 11, 2018 · Product Management

Designing Effective B2B Data Dashboards for Web Platforms

This article explains why web interfaces are optimal for displaying large‑scale B2B statistical data, outlines methods to organize information hierarchically, choose appropriate visualizations, and implement flexible table controls such as modular tabs, layering, filtering, sorting, and pagination to improve usability.

B2BData visualizationTable Controls
0 likes · 13 min read
Designing Effective B2B Data Dashboards for Web Platforms
MaGe Linux Operations
MaGe Linux Operations
Dec 27, 2017 · Fundamentals

Visualizing Stock Data and Building K‑Line Charts with Python

This guide walks you through importing stock data, cleaning column names, visualizing price and volume trends, creating candlestick (K‑line) charts, analyzing relative changes, exploring correlations, and implementing a simple moving‑average trading strategy using pandas, matplotlib, and numpy.

Data visualizationK-LineMatplotlib
0 likes · 14 min read
Visualizing Stock Data and Building K‑Line Charts with Python
37 Interactive Technology Team
37 Interactive Technology Team
Dec 25, 2017 · Operations

Design and Implementation of a Unified Monitoring Dashboard – A Case Study from 37 Interactive Entertainment

In just over a month, 37 Interactive Entertainment transformed its fragmented monitoring wall into a unified, twelve‑screen dashboard by consolidating game and service data into Elasticsearch, creating a single API, and employing modular JavaScript, custom ECharts visualizations and a 3D map, delivering real‑time insights with a cohesive sci‑fi inspired UI.

Case StudyDashboardData visualization
0 likes · 7 min read
Design and Implementation of a Unified Monitoring Dashboard – A Case Study from 37 Interactive Entertainment
Huawei Cloud Developer Alliance
Huawei Cloud Developer Alliance
Oct 12, 2017 · Artificial Intelligence

Which Machine Learning Skills Will Be Most In‑Demand in the Next 3‑5 Years?

The article explains that industrial AI needs specialists who can apply machine‑learning models to specific domains, outlines essential fundamentals such as regression, classification, neural networks, data visualization, and unsupervised learning, and offers practical career advice for students and early‑career professionals seeking to transition into machine‑learning roles.

Data visualizationIndustrial AINeural Networks
0 likes · 11 min read
Which Machine Learning Skills Will Be Most In‑Demand in the Next 3‑5 Years?
Hujiang Technology
Hujiang Technology
Aug 15, 2017 · Artificial Intelligence

Integrating Google Facets into a Flask Web Application for Data Visualization

This tutorial demonstrates how to set up a Flask web application that uploads CSV files and visualizes machine‑learning datasets using Google Facets Overview and Dive components, providing step‑by‑step code, configuration, and examples of data insights and potential use cases.

Data visualizationFlaskGoogle Facets
0 likes · 13 min read
Integrating Google Facets into a Flask Web Application for Data Visualization
MaGe Linux Operations
MaGe Linux Operations
Jun 29, 2017 · Artificial Intelligence

Master Python Matplotlib: Scatter Plots, Polynomial Fit, and Multi‑Panel Visualizations

This article walks through essential Matplotlib techniques—including creating scatter plots, applying polynomial fitting, generating multiple subplots with the Iris dataset, drawing reference lines, and enabling interactive updates—providing concise code snippets and visual examples for each step.

Data visualizationPolynomial FitPython
0 likes · 5 min read
Master Python Matplotlib: Scatter Plots, Polynomial Fit, and Multi‑Panel Visualizations
ITPUB
ITPUB
Jun 21, 2017 · Big Data

Top Linux Visualization Tools: Gnuplot, Octave, Scilab, MayaVi, Maxima

An overview of popular open‑source Linux data‑visualization applications—Gnuplot, GNU Octave, Scilab, MayaVi, and Maxima—examining each tool’s licensing, capabilities, scripting interfaces, 2‑D/3‑D plotting features, and typical use‑cases to help readers choose the most suitable solution for their computational tasks.

Data visualizationGnuplotMaxima
0 likes · 16 min read
Top Linux Visualization Tools: Gnuplot, Octave, Scilab, MayaVi, Maxima
MaGe Linux Operations
MaGe Linux Operations
Jun 17, 2017 · Artificial Intelligence

Create a One Piece‑Inspired Word Cloud with Python, Jieba, and WordCloud

This tutorial guides readers with basic programming experience through using Python 3 in Jupyter to extract keywords from One Piece lyrics with jieba, and then generate a Chopper‑shaped word cloud using matplotlib and the wordcloud library, covering required dependencies and step‑by‑step code.

Data visualizationJupyterPython
0 likes · 3 min read
Create a One Piece‑Inspired Word Cloud with Python, Jieba, and WordCloud
MaGe Linux Operations
MaGe Linux Operations
May 25, 2017 · Frontend Development

Top 56 Data Visualization Tools Every Developer Should Know

This article provides a comprehensive overview of 56 data visualization tools ranging from simple spreadsheet options to advanced JavaScript libraries, mapping frameworks, and statistical packages, helping developers choose the right solution for creating interactive and insightful visual representations of their data.

Data visualizationJavaScriptMapping
0 likes · 18 min read
Top 56 Data Visualization Tools Every Developer Should Know
Qunar Tech Salon
Qunar Tech Salon
Mar 12, 2017 · Big Data

Essential Skills and Career Paths for Data Professionals: From Big Data Platforms to AI

The article outlines the key competencies, responsibilities, and career development advice for data professionals across the entire data stack—from building big‑data platforms and data warehouses to visualization, analysis, algorithm engineering, and deep‑learning applications—emphasizing the importance of creating business value with data.

Big DataData AnalystData Warehouse
0 likes · 15 min read
Essential Skills and Career Paths for Data Professionals: From Big Data Platforms to AI
Ctrip Technology
Ctrip Technology
Mar 8, 2017 · Big Data

Essential Skills and Career Path for Data Professionals: From Big Data Platforms to AI Applications

This article outlines the key competencies and career roadmap for data professionals, covering big‑data infrastructure, data‑warehouse engineering, visualization, analysis, algorithmic mining, and deep‑learning, while emphasizing the importance of business sense, cloud adoption, and continuous learning.

Data WarehouseData visualizationcareer advice
0 likes · 15 min read
Essential Skills and Career Path for Data Professionals: From Big Data Platforms to AI Applications
MaGe Linux Operations
MaGe Linux Operations
Feb 28, 2017 · Artificial Intelligence

How to Build a Python Machine Learning Environment and Fit Your First Model

This tutorial walks through setting up a Python 2.7 machine learning environment with scikit-learn, installing required libraries, loading web traffic data, cleaning NaN entries, visualizing the data, performing a linear regression using SciPy's polyfit, and evaluating the model's fit.

Data visualizationPythonlinear regression
0 likes · 9 min read
How to Build a Python Machine Learning Environment and Fit Your First Model
Efficient Ops
Efficient Ops
Nov 20, 2016 · Operations

Why Most Log‑Analysis Features Are Overrated and What Really Matters

The article critiques popular but unnecessary log‑analysis features—such as sub‑second alerts, endless pagination, flashy maps, full SQL support, bulk downloads, and live tail—arguing that focusing on practical alert content, efficient querying, and proper architecture yields far more value for IT operations.

AlertingDSLData visualization
0 likes · 10 min read
Why Most Log‑Analysis Features Are Overrated and What Really Matters
Java High-Performance Architecture
Java High-Performance Architecture
Jun 16, 2016 · Frontend Development

Unlock Powerful Data Visualizations with G2: A JavaScript Library Tutorial

This article introduces G2, an open‑source JavaScript visualization library from Ant Financial, explains its semantic charting capabilities and flexible graphic grammar, and provides a complete HTML example that creates a bar chart from sample data, guiding developers to quickly build custom visualizations.

Data visualizationG2JavaScript
0 likes · 3 min read
Unlock Powerful Data Visualizations with G2: A JavaScript Library Tutorial
Big Data and Microservices
Big Data and Microservices
Apr 7, 2016 · Big Data

Turning Big Data into Actionable Security Visualizations: Process & Real‑World Cases

This article explains how to transform massive security‑related big data into clear visual insights, covering storytelling, data processing, visual encoding, design workflow, and two real‑world case studies that illustrate vulnerability mapping and internal traffic analysis for improved threat awareness.

Big DataData visualizationdesign process
0 likes · 10 min read
Turning Big Data into Actionable Security Visualizations: Process & Real‑World Cases
Big Data and Microservices
Big Data and Microservices
Apr 5, 2016 · Industry Insights

What Makes Mobile Data Charts Effective? Lessons from Top Apps

This article analyzes how finance, health, and business mobile apps adapt classic chart types for limited screen space, highlighting design choices such as color usage, compact layouts, and interactive filters that improve readability and user decision‑making.

Data visualizationMobile UIUser experience
0 likes · 12 min read
What Makes Mobile Data Charts Effective? Lessons from Top Apps
Baidu Maps Tech Team
Baidu Maps Tech Team
Mar 1, 2016 · Frontend Development

How Baidu Maps Turns Massive Geodata into Interactive Visual Stories

This article explores how Baidu Map’s open platform leverages web‑based visualization libraries such as ECharts, MapV, Canvas, SVG and WebGL to render point, line and polygon geospatial data—including heatmaps, clustering, and 3D charts—while addressing performance challenges of large‑scale datasets and outlining the front‑end technologies used.

Baidu MapsCanvasData visualization
0 likes · 12 min read
How Baidu Maps Turns Massive Geodata into Interactive Visual Stories
MaGe Linux Operations
MaGe Linux Operations
Apr 22, 2015 · Artificial Intelligence

Your Complete Python Roadmap to Become a Data Scientist

This guide outlines a comprehensive, step‑by‑step Python learning path for aspiring data scientists, covering environment setup, core language fundamentals, regular expressions, scientific libraries such as NumPy, SciPy, Matplotlib, Pandas, data visualization, machine‑learning with scikit‑learn, and an introduction to deep learning, with curated resources and practice projects.

Data ScienceData visualizationDeep Learning
0 likes · 11 min read
Your Complete Python Roadmap to Become a Data Scientist