The print() Function in Python

Nerd Cafe | نرد کافه

The print() function displays information to the console (or another output stream). It’s very common in debugging, reporting results, and logging progress.

Syntax

print(*objects, sep=' ', end='\n', file=sys.stdout, flush=False)

Parameter	Meaning
*objects	One or more items to print
sep	Separator between items (default: space " ")
end	What to add at the end (default: newline "\n")
file	Where to send output (default: console)
flush	Force immediate writing (useful for live updates)

Step-by-Step Examples

1. Basic Output

print("Hello, World!")

Output:

Hello, World!

2. Printing Variables

model = "RandomForest"
accuracy = 94.5
print("Model:", model)
print("Accuracy:", accuracy)

Output:

Model: RandomForest
Accuracy: 94.5

3. Custom Separator (sep)

print("Accuracy", 94.5, "percent", sep=" - ")

Output:

Accuracy - 94.5 - percent

Useful when printing multiple metrics side by side.

4. Stay on the Same Line (end)

for i in range(3):
    print(i, end=", ")

Output:

0, 1, 2, 

Helpful for progress display.

5. Mixing Data Types

loss = 0.2456
print("Loss value:", loss, "| Type:", type(loss))

Output:

Loss value: 0.2456 | Type: <class 'float'>

Good for debugging variables.

6. f-Strings (Recommended for Professional Logging)

epoch = 5
acc = 87.23
loss = 0.123
print(f"Epoch: {epoch}, Accuracy: {acc:.2f}%, Loss: {loss:.4f}")

Output:

Epoch: 5, Accuracy: 87.23%, Loss: 0.1230

Clean, readable, and widely used in machine learning logs.

7. Video Tutorial

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Keywords

print(), syntax, arguments, objects, sep, end, file, flush, console, variables, strings, data types, formatting, logging, debugging, nerd cafe , نرد کافه

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