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Git Workflow for Capstone Teams: Branches, Pull Requests and Fixing Merge Conflicts
Water Billing System using Java Swing and SQLite with Source Code
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Python CSV Tutorial: Read, Write, Append and Filter CSV Files with the csv Module
CSV (comma-separated values) files are everywhere: exported Excel sheets, Google Forms responses, bank statements, grade sheets, product lists for an inventory system. Sooner or later every programmer has to read one, clean it, compute something and write a new file. In Python you do not need to install anything for that. The built-in csv module handles it, including the tricky parts like commas inside a field, quotes, different delimiters and Excel-friendly encodings.
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How to Build a REST API in Go (Golang) with net/http: CRUD with JSON, No Framework
Go (also called Golang) is a favorite language for building back-end services: it compiles to a single fast binary, it handles many requests at the same time without extra libraries, and its standard library already contains a production-grade web server. Since Go 1.22, the built-in router http.ServeMux also understands HTTP methods and URL wildcards such as GET /api/books/{id}, so for many projects you no longer need a framework like Gin, Echo or Chi.
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Node2Shell Exploited, GitHub Actions Lockfiles, TypeScript 7.1 Beta: Developer News for Early November 2026
How to Keep API Keys and Passwords Out of GitHub: .env, .gitignore and Secret Scanning
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Sari-Sari Store POS and Inventory System using ASP.NET Core Razor Pages and SQLite with Source Code
JavaScript Destructuring, Spread and Rest Operators Explained with Examples
If you have read modern JavaScript code, in React components, Node.js APIs or even in the browser console, you have probably seen lines like const { name, email } = user; or [...items, newItem]. Those three dots and curly braces are destructuring, the spread operator and rest parameters. They were added in ES6 (ECMAScript 2015) and ES2018, and today they appear in almost every JavaScript project.
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SQL Window Functions in MySQL: ROW_NUMBER, RANK, DENSE_RANK, Running Total, LAG and LEAD
Ranking students by grade, showing the top 3 products per category, computing a running total of sales, or comparing this month with last month... these are reports you will be asked to build in almost every school system, inventory system or capstone project. Many beginners solve them with complicated subqueries, or by pulling all the rows into PHP or Python and looping. There is a much cleaner way: SQL window functions.