Summary  
This chapter introduces using Python’s `print()` function to output text, demonstrating how to wrap strings in quotes and separate multiple arguments with commas to include spaces automatically.

General domain of usage  
Console-based applications and utilities

**Python** is a high-level programming language. High-level languages use abstract syntax that is easy for humans to understand but cannot be directly interpreted by machines.

Definition

Programming is the process of giving instructions to a computer to perform tasks, and Python is a popular language known for its simplicity and versatility. Let’s explore what makes Python unique.

Let's get started by printing your first message in Python! To do this, use the `print()` function. When printing specific text, wrap it in quotation marks, either `"..."` or `'...'`.

You can also add more text by using a comma to separate different parts within the `print()` function. The function automatically adds a space between the arguments. Try experimenting with different messages to see how it works.

import unittest
import re
import importlib

def _dynamic_test(test_case, condition, success_message, failure_message):
    if condition:
        test_case._testMethodName = success_message
        test_case.assertTrue(True, success_message)
    else:
        test_case._testMethodName = failure_message
        test_case.fail(failure_message)

class TestUserCode(unittest.TestCase):

    def test_print_statement_used(self):
        with open('user_code.py', 'r') as file:
            user_code_source = file.read()
        _dynamic_test(
            self,
            re.search(r'print\s*\(', user_code_source),
            "The `print` statement is used.",
            "Expected the `print` statement to be used."
        )

    def test_correct_message_printed(self):
        import io
        import sys
        import user_code

        captured_output = io.StringIO()
        sys.stdout = captured_output 
        importlib.reload(user_code)
        sys.stdout = sys.__stdout__ 

        output = captured_output.getvalue().strip()

        _dynamic_test(
            self,
            output == "Hello world!",
            'The correct message "Hello world!" is printed.',
            f'Expected "Hello world!" to be printed, but got "{output}".'
        )

if __name__ == '__main__':
    unittest.main()

test_main.py

Python is an interpreted high-level general-purpose programming language. Unlike HTML, CSS, and JavaScript, which are primarily used for web development, Python is versatile and can be used in various fields, including software development, data science, and back-end development. In this course, you'll explore the core aspects of Python, and by the end, you'll be crafting your own functions!

Dive into the basics of Python, explore your workspace, and perform simple math operations. Learn how to write readable code using comments and handle both basic and advanced mathematical expressions while displaying your results.

Learn how to store and manage data in Python by working with numbers, text, and variables. Understand how to assign values, follow naming conventions, and explore different data types. Gain hands-on experience with string operations, indexing, slicing, and memory recall techniques to efficiently manipulate text in Python.

Learn how to use comparison and logical operators, work with conditional expressions, and apply membership and type comparisons. Build a strong foundation in writing programs that respond dynamically to different conditions using if/else and if/elif/else structures.

Expand your understanding of data types by learning how to group multiple attributes within a single variable. Explore lists, tuples, and dictionaries to efficiently store and manage structured data, along with essential methods for manipulation and retrieval.

Master the art of writing loops in Python—essential constructs for iterating over lists, tuples, dictionaries, and other data structures. Learn to use while and for loops effectively, explore the range function, and work with nested loops to handle complex iteration patterns.

Explore essential built-in functions in Python and take the next step by creating your own. Learn how to define functions, use conditional logic, modify existing functions, and work with lambda expressions to write efficient, reusable code.

The Very First Steps in Python

Løsning