Projetos e estudos de caso
Projetos reais: microsserviços de gateway de pagamento, aplicações full-stack, backends Django, sistemas RAG e mais.
Software Requirements Specification (SRS)
Document Version: 1.0 Last Updated: [Current Date] Prepared By: Development Team Approved By: Project Stakeholder
Ler artigo →backend — README
Backend API for auth flows to support your login screen.
Ler artigo →PawMatch Backend API
A Flask-based backend API for the PawMatch cat matching and health analysis platform.
Ler artigo →frontend — README
This is a Next.js project bootstrapped with create-next-app.
Ler artigo →File Upload Fix - Summary
Fixed: Added cursor: pointer to make it clear the area is clickable Added display: block for full clickability Added background color for better visibility Added smooth transitions for better UX
Ler artigo →Image Cropping Issue - FIXED
object-fit: cover fills the container by cropping the image, which cuts off parts of the photo.
Ler artigo →Weight Management V2 - Django Web Application
A modern Django-based web application for weight management and body transformation visualization. Users can input their body metrics (weight, height, age) and upload photos to receive personalized weight loss plans with
Ler artigo →CSV to Excel
Read multiple CSV files from a directory and write them into a single Excel (.xlsx) file. Each CSV file becomes one sheet in the workbook.
Ler artigo →Waterfall 瀑布式開發模型
Waterfall（瀑布式）開發模型是一種線性序列式的軟體開發方法論，由 Winston Royce 在 1970 年提出。如同瀑布從高處向下流動，開發流程按照固定的階段順序進行，每個階段完成後才能進入下一階段。
Ler artigo →Agile/Scrum 敏捷開發
Agile（敏捷）是一種迭代式、增量式的軟體開發方法論，強調快速回應變化、持續交付價值、團隊協作和客戶參與。
Ler artigo →Waterfall vs Agile/Scrum 方法論比較
回答以下問題，幫助你選擇適合的方法論：
Ler artigo →實際案例研究
Phase 1：準備階段（2015 Q1-Q2）
Ler artigo →具體執行指南與範例
讓我們通過一個實際專案逐步說明 Waterfall 的執行。
Ler artigo →Waterfall 與 Agile 支援軟體工具
依您的專案規模、產業與合規需求，從上表與各節說明中挑選組合即可；若需要針對某一類工具（例如只列「需求管理」或「CI/CD」）再細化成單一檔案，也可以再說明需求。
Ler artigo →軟體開發方法論教材
本教材深入探討兩種主要的軟體開發方法論： Waterfall（瀑布式）開發 Agile/Scrum（敏捷/Scrum）開發
Ler artigo →TensorFlow vs PyTorch vs Hugging Face 詳細比較
TensorFlow 是由 Google Brain 團隊於 2015 年開源的端到端機器學習框架。它最初以靜態計算圖（Static Computation Graph）為核心設計，後來在 TensorFlow 2.x 中預設啟用了 Eager Execution（動態執行模式），大幅提升了開發體驗。
Ler artigo →