Summary  
Demonstrates printing output using print() in a simple function and shows how code executes sequentially with AI-assisted code generation and refactoring.  

General domain of usage  
data analysis

**Python** is a high-level programming language known for readability and simplicity, making it one of the easiest for beginners.

Created by Guido van Rossum and released in 1991, it has grown into one of the world's most popular languages, used in web development, data analysis, automation, and AI.

This course uses Python 3, the current supported version.


## Cursor AI IDE

Cursor is a modern IDE for Python and many other languages. Its main advantage is the integration of **AI tools** directly into the coding workflow. You can use it both as a classic editor and as an assistant that helps write, refactor, or explain code. Try to use the suggested prompts:


* **Editor window**: the main area where you type and edit code;
* **Sidebar**: access to files, project explorer, and settings;
* **Terminal**: built-in console for running your scripts;
* **AI Panel**: a space for chatting with the AI, generating snippets, or asking for explanations.

### Useful Features

* **Inline AI**: Press `Cmd + K` (Mac) or `Ctrl + K` (Windows/Linux) to ask AI for code suggestions right inside the editor;
* **Chat mode**: Open a side panel with `Cmd + L` or `Ctrl + L` to talk to the AI about your code;
* **Explain code**: Highlight a block, then ask the AI to explain what it does;
* **Refactor / Optimize**: Select code and request improvements, alternative solutions, or performance tweaks;
* **Autocomplete**: As you type, AI suggests the next line or even full functions.

What does the `print()` function do in Python?

Python is one of the most popular and versatile programming languages today. It's easy to learn, widely used in web development, data analysis, artificial intelligence, and automation — making it the perfect first language for beginners.

Learn the foundations of Python syntax, from writing your first code and adding comments to working with data types, numbers, strings, and variables. Build a solid base for all future programming concepts.

Master the tools that make programs dynamic. Explore conditionals, loops, and debugging techniques to control the logic and flow of Python applications.

 Discover Python's core data structures—lists, tuples, dictionaries, and sets. Learn how to store, access, and manipulate data efficiently.

Understand how to structure programs with functions, imports, and modules. Get introduced to object-oriented basics to write cleaner, reusable, and scalable code.

Work with files and structured data. Practice reading and writing text files, handling JSON, and processing CSV data to prepare for real-world projects.

First Steps

Cursor AI IDE

Interface Overview

Useful Features