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Sunday, 25 October 2026

Python Variables, Strings and Numbers Explained

Python Variables, Strings and Numbers” showing a code window with name, age and height variables, a warning against adding text and a number, and the note “Type it, run it, then change it”.

Every program works with data: names, ages, prices, messages. In Python you store that data in variables, and it comes in different types, mainly text (strings) and numbers. Understanding these basics is the foundation for everything else you will build.

This guide assumes you have Python installed and can run a file. If not, read my guide on writing your first 10 lines of Python. Type each example yourself and compare the output with what you see here.

Variables: labeled boxes

A variable is a name that holds a value. You create one with the equals sign:

name = "Sam"
age = 20
height = 1.75
print(name, age, height)

Output:

Sam 20 1.75

The = sign does not mean "equals" like in maths. It means "store the value on the right in the name on the left".

Naming rules

  • Use letters, numbers and underscores, and don't start with a number.
  • Names are case sensitive: age and Age are different variables.
  • Use clear names like user_name instead of x, and use lowercase with underscores.
  • You cannot use Python's reserved words, such as if, for or class.

The three types you will use most

print(type(name), type(age), type(height))

Output:

<class 'str'> <class 'int'> <class 'float'>
  • str (string): text, written in quotes, like "Sam".
  • int (integer): whole numbers, like 20.
  • float: numbers with a decimal point, like 1.75.

Working with strings

Joining text

greeting = "Hello, " + name + "!"
print(greeting)
print(f"{name} is {age} years old.")

Output:

Hello, Sam!
Sam is 20 years old.

The second line uses an f-string: put an f before the quotes and place variables inside curly brackets. It is the easiest way to mix text and values.

Useful string tools

print(len(name))
print(name.upper())
print(name.lower())
print(name[0])
print(name[1:3])

Output:

3
SAM
sam
S
am
  • len() counts the characters.
  • .upper() and .lower() change the case.
  • name[0] gets the first character. Python starts counting at 0, not 1.
  • name[1:3] is a slice: it starts at position 1 and stops before position 3.

Working with numbers

print(7 + 3, 7 - 3, 7 * 3)
print(7 / 2)
print(7 // 2)
print(7 % 2)
print(2 ** 5)

Output:

10 4 21
3.5
3
1
32
  • +, - and * add, subtract and multiply.
  • / divides and always gives a decimal result (3.5).
  • // divides and keeps only the whole part (3).
  • % gives the remainder (1). It is handy for checking whether a number is even or odd.
  • ** raises to a power (2 ** 5 is 32).

Converting between types

Text that looks like a number is still text. Python will not multiply it until you convert it:

price = "10"
total = int(price) * 3
print(total)

Output:

30

Without int(), "10" * 3 would repeat the text three times instead of doing maths. The functions to remember are int(), float() and str(). Remember that input() always returns text, so convert it when you need a number.

Changing a variable

age = age + 1
print(age)
print(round(3.14159, 2))

Output:

21
3.14

A variable can be updated at any time. round() rounds a number to a chosen number of decimal places.

Common beginner mistakes

  • Mixing text and numbers. "Age: " + 20 causes an error. Use an f-string or str(20).
  • Forgetting quotes around text, or putting quotes around a variable name you want the value of.
  • Starting counting at 1. The first character of a string is at position 0.
  • Using unclear names. x1 and temp2 will confuse you next week.
  • Assuming / gives a whole number. Use // if you want one.

Practice tasks

  1. Create variables for your name, age and favourite number, and print a sentence using an f-string.
  2. Print your name in uppercase and its length.
  3. Ask the user for two numbers with input() and print their sum. Remember to convert them.
  4. Check whether a number is even using the % operator.

Final thoughts

Variables, strings and numbers appear in every Python program you will ever write. Practice them until they feel natural, and don't worry about memorizing everything. Looking things up is part of programming. Once you are comfortable, the next steps are decisions, loops, lists and functions.

Which task was the trickiest for you? Tell me in the comments, and follow the blog for more guides on programming, AI, crypto and Kali Linux.

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