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.
This article walks through the fundamentals of InfluxDB as a time‑series database, demonstrates how to write data via its HTTP API, and shows how to configure Grafana for real‑time visualization, high‑availability deployment, and alerting in a big‑data monitoring scenario.
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.
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.
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.
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.
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.
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.
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.
This article explains the meaning of a seemingly cryptic regular expression, demonstrates its semantic diagram using the Regulex visualization tool, and shows how Regulex can be applied to JavaScript, PHP, and Java regexes, including its API and download links.
This article presents a 16‑week Python data‑analysis learning roadmap covering environment setup, basic syntax, web‑scraping techniques, data‑analysis libraries such as pandas and NumPy, and data‑visualization with matplotlib, along with curated free resources and tutorials for each stage.
Explore a curated list of ten JavaScript libraries that enable developers to create interactive, customizable maps—including Google Maps integrations, data visualizations, and CSS‑only solutions—providing the tools needed to enhance web mapping experiences.
This article demonstrates how to retrieve NBA play‑by‑play movement data via the stats.nba.com API, transform it into a pandas DataFrame, enrich it with player names, visualize player trajectories on a basketball court, and compute travel distances, speeds and inter‑player distances using Python libraries.
This article presents a PHP‑based web‑scraping experiment that collects and visualizes several months of data from the “Da Gai Er” board of the Caoliu forum, revealing user activity patterns, image hosting distribution, registration trends, and overall forum health through charts and statistical summaries.
The article explains how visualizing both service delivery and service metrics is essential for modern operations, describing the evolution from ITIL processes to DevOps automation, continuous delivery of infrastructure and applications, and data‑driven measurement techniques that enable consistent, agile, and measurable operational performance.
This guide outlines a step‑by‑step mind map for writing effective technical articles, covering audience focus, simplicity, logical ordering, brevity, iterative refactoring, visual aids, and accuracy to help readers produce clear and engaging content.
