Project

In the previous tutorial, we built a web scraper. Now let’s build an automation script — a file organizer that sorts files by type, processes CSV data, and logs everything properly. This is the final project in the Python Tutorial series. It ties together everything: file I/O, dataclasses, error handling, logging, testing, and packaging. By the end, you will have a practical tool you can use every day. What We Are Building A file organizer that: ...

In the previous tutorial, we built a REST API with FastAPI. Now let’s build a web scraper — a program that extracts data from web pages automatically. We will use httpx to fetch pages and BeautifulSoup to parse HTML. By the end, you will know how to extract data, save it to JSON and CSV, and scrape responsibly. When to Scrape (and When Not To) Web scraping is useful for: Collecting data that is not available via an API Monitoring prices, job listings, or news Research and data analysis But check these first: ...

In the previous tutorial, we built a CLI tool with Click and Rich. Now let’s build a REST API — a web API that any frontend, mobile app, or other service can call. We will use FastAPI, the fastest-growing Python web framework. It has automatic documentation, type checking, and built-in validation. By the end of this tutorial, you will have a working Bookmark Manager API. Why FastAPI? Automatic API docs — Swagger UI at /docs (free, no setup) Type-safe — uses Python type hints for validation Fast — built on Starlette and Pydantic (one of the fastest Python frameworks) Async support — native async/await (from Tutorial #18) Pydantic validation — automatic input validation (from Tutorial #10) Install the dependencies: ...

In the previous tutorial, we learned about logging and debugging. Now let’s build our first real project — a command-line task manager using Click for argument parsing and Rich for colored output. This project uses everything we have learned so far: dataclasses, file I/O, error handling, testing, and more. By the end, you will have a working CLI tool you can install with pip install. What We Are Building A task manager that runs in the terminal: ...

This is the final tutorial in our Rust series. We bring together everything you learned — ownership, error handling, async, web APIs, databases, and CLI tools — into one complete project. We will build LinkShort, a URL shortener. It has two parts: A REST API — create, list, and redirect short links (Axum + SQLx) A CLI tool — manage links from the terminal (Clap + Reqwest) By the end, you will have a working application that you can run locally, extend, and deploy. ...

You have learned every piece: layouts, state, navigation, ViewModel, MVI, Room, Hilt, animations, testing, and adaptive layouts. Now it is time to use them all together. In the next five tutorials, we will build a complete task manager app from scratch. Not a toy demo — a real app with real architecture that you could publish to Google Play. This tutorial is about planning — deciding what to build, how to organize the code, and what dependencies to use. No code yet. Just decisions. ...

In the previous tutorial, you learned about Kotlin Serialization. Now let’s build something real. In this tutorial, you will build a complete CLI (Command-Line Interface) tool: a text analyzer that counts words, finds patterns, and shows statistics. In this tutorial, you will learn: Reading command-line arguments File I/O (reading files) Text analysis (word count, frequency) Colored terminal output with ANSI codes Argument parsing Error handling Structuring a real project What We’re Building A text analysis tool called TextAnalyzer with these commands: ...