Variables
- Show example how variables are defined and updated in Python, include case where a variable is reassigned with values of different data types.
- Show code example which represents variable naming rules in python (valid and invalid cases).
- Compare a short Python example with and without variables. Show the difference in readability.
- Make short cheatsheet for "Variables" chapter.
Variables and Values
A variable is a name that refers to a value in memory.
You assign values with the =
symbol and can reuse them instead of repeating the same data.
Python automatically detects the type of the value β number, string, or another object β so you don't declare it explicitly. Variables are flexible: you can change their contents or even assign a new value of a different type.
Naming Rules for Variables
Variable names in Python must follow these rules:
- Start with a letter or underscore;
- Contain only letters, digits, or underscores;
- No spaces, special characters, or punctuation;
- Cannot be Python keywords;
- Case-sensitive:
name
andName
are different.
Best practices:
- Use short but meaningful names, like
price
oruser_age
; - Use lowercase with underscores:
total_sum
; - Avoid single-letter names, except for simple counters.
Reusability and Why Variables Matter
Variables prevent repetition and make code easier to maintain. They improve readability, reduce mistakes, and simplify updates.
Instead of repeating the same value in several places, you store it in one variable and reuse it. If the value changes, you only update it once.
Summary
- A variable stores a value using the
=
symbol; - Python automatically detects the data type;
- You can update or overwrite variables at any time;
- Variable names must follow syntax rules and naming conventions;
- Variables improve flexibility, readability, and maintainability in code.
Try It Yourself
- Create variables: one number, one string, and one with a simple operation;
- Update one variable;
- Print them all to see how assignment and reassignment work.
Thanks for your feedback!
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Variables
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- Show example how variables are defined and updated in Python, include case where a variable is reassigned with values of different data types.
- Show code example which represents variable naming rules in python (valid and invalid cases).
- Compare a short Python example with and without variables. Show the difference in readability.
- Make short cheatsheet for "Variables" chapter.
Variables and Values
A variable is a name that refers to a value in memory.
You assign values with the =
symbol and can reuse them instead of repeating the same data.
Python automatically detects the type of the value β number, string, or another object β so you don't declare it explicitly. Variables are flexible: you can change their contents or even assign a new value of a different type.
Naming Rules for Variables
Variable names in Python must follow these rules:
- Start with a letter or underscore;
- Contain only letters, digits, or underscores;
- No spaces, special characters, or punctuation;
- Cannot be Python keywords;
- Case-sensitive:
name
andName
are different.
Best practices:
- Use short but meaningful names, like
price
oruser_age
; - Use lowercase with underscores:
total_sum
; - Avoid single-letter names, except for simple counters.
Reusability and Why Variables Matter
Variables prevent repetition and make code easier to maintain. They improve readability, reduce mistakes, and simplify updates.
Instead of repeating the same value in several places, you store it in one variable and reuse it. If the value changes, you only update it once.
Summary
- A variable stores a value using the
=
symbol; - Python automatically detects the data type;
- You can update or overwrite variables at any time;
- Variable names must follow syntax rules and naming conventions;
- Variables improve flexibility, readability, and maintainability in code.
Try It Yourself
- Create variables: one number, one string, and one with a simple operation;
- Update one variable;
- Print them all to see how assignment and reassignment work.
Thanks for your feedback!