Python Basics for Testers: Variables, Data Types & Print Statements

 

📦 1. What is a Variable?

Think of a variable as a box that stores something for later use.

In Python, you don’t need to say what kind of data will go into the box. Just give it a name and assign a value.

🔧 Syntax:

name = "Alice"
age = 30

🧠 Explanation:

• name is a variable that holds the text "Alice".

• age is a variable that holds the number 30.

✅ Rules for Variable Names:

• Must start with a letter or underscore (_)

• Can contain letters, numbers, and underscores

• Case-sensitive (Name and name are different)

• Avoid using Python keywords (like for, if, print, etc.)

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🔢 2. Data Types in Python

A data type tells Python what kind of value you're working with.

Here are the most common ones testers need:

🔤 a. String (str)

A string is a sequence of characters, like text.

city = "Tallinn"

Anything inside quotes (" " or ' ') is a string.

➕ You can join strings:

first = "Quality"
second = "Assurance"
result = first + " " + second
print(result)  # Output: Quality Assurance

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🔢 b. Integer (int)

An integer is a whole number — no decimals.

bugs_found = 5

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🔣 c. Float (float)

A float is a number with a decimal point.

bug_rate = 2.5

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❓ d. Boolean (bool)

A boolean is either True or False.

is_test_passed = True

Useful for conditions like “Did this test pass?”

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🗃️ e. List (list)

A list stores multiple values in one variable.

test_cases = ["Login Test", "Signup Test", "Search Test"]
print(test_cases[0])  # Output: Login Test

Lists start at index 0. You can store strings, numbers, or even other lists!

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🗂️ f. Dictionary (dict)

A dictionary stores data as key-value pairs.

bug = {
    "id": 101,
    "title": "Login fails",
    "status": "Open"
}
print(bug["title"])  # Output: Login fails

Perfect for storing bug data or test case info.

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🖨️ 3. Using Print Statements

The print() function shows output on the screen.

Example:

print("Testing is fun!")

Output:

Testing is fun!

🔄 Print Variables

You can print variables directly:

name = "Alice"
print(name)

Output:

Alice

💬 Combine Text and Variables

Method 1: Comma , (most beginner-friendly)

tester = "Bob"
print("Tested by:", tester)

Output:

Tested by: Bob

Method 2: f-Strings (modern and clean)

age = 28
print(f"The tester is {age} years old.")

Output:

The tester is 28 years old.

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✅ Why Testers Should Learn This?

Even if you're not writing full Python programs, knowing these basics helps you:

• Read automation test scripts

• Debug test failures

• Modify test data

• Build test input/output quickly

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🧪 Small Practice Project: Bug Summary

Let’s combine what you learned into a tiny program.

🛠️ Code:

bug_id = 101
bug_title = "Signup button not working"
severity = "High"
is_reproducible = True

print("Bug Report")
print("-----------")
print("ID:", bug_id)
print("Title:", bug_title)
print("Severity:", severity)
print("Reproducible?", is_reproducible)

🖥️ Output:

Bug Report
-----------
ID: 101
Title: Signup button not working
Severity: High
Reproducible? True

You just printed a bug report using variables, different data types, and print statements!

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🤔 Quick Recap

Concept	Example	Description
Variable	name = "Bob"	Stores a value
String (str)	"Login Failed"	Text data
Integer (int)	10	Whole number
Float (float)	9.5	Decimal number
Boolean (bool)	True, False	Yes/No or On/Off
List (list)	["TC1", "TC2"]	Group of values
Dictionary (dict)	{"id": 1, "status": "Open"}	Key-value pair structure
Print	print("Hello!")	Shows output

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🎓 Final Thoughts

If you're starting your QA journey, Python is your friend. It's clean, beginner-friendly, and widely used in testing tools.

Today, you learned how to:

• Store data in variables

• Use common data types

• Print anything to the screen

Next steps? Learn conditions, loops, and functions — they’ll help you write smarter test scripts or explore automation.

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💡 Bonus Tip for Testers

You can use Python to:

• Generate random test data

• Compare expected vs actual results

• Read/write files (like test reports or logs)

• Connect with tools like Selenium or APIs

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That’s it for today’s Python basics! Start small, practice daily, and you’ll become comfortable with Python in no time.