🟡 Advanced Python · Lesson 30

Testing and Debugging Python Code

Python Code Testing और Debugging

What is Testing and Debugging?

Testing and Debugging means testing checks whether code works correctly. Debugging helps find and fix errors.

In real programs, this topic helps in checking code automatically. Learn the idea first, then type the program yourself and compare the output.

💡 At a Glance

Point	Details
Course Area	Advanced Python Professional concepts used to make code reusable, clean and project-ready.
Main Use	checking code automatically
Example File	`testing-debugging.py`
Practice Focus	Run, change values, and explain the output line by line.

Why should you learn this?

It is useful for checking code automatically.
It connects with finding wrong output.
It improves your ability to read, write and debug Python programs.

Important Terms

These terms are used directly in this lesson. Understand them before memorising the code.

Term	Meaning
assert	Statement used to verify that a condition is true.
unit test	Small test that checks one part of code.
bug	A mistake in code that causes wrong behavior.
traceback	traceback is an important term in this topic.
print debugging	print debugging is an important term in this topic.

Syntax / Basic Pattern

The simple pattern is: prepare data, apply the concept, then show the result.

Basic Pattern

def add(a, b):
    return a + b
assert add(2, 3) == 5
assert add(-1, 1) == 0
print("All tests passed")

Complete Example Program

Python – testing-debugging.py

def add(a, b):
    return a + b

assert add(2, 3) == 5
assert add(-1, 1) == 0

print("All tests passed")

Expected Output

All tests passed

Program Explanation

def add(a, b): creates a reusable function.
return a + b sends a result back from the function.
assert add(2, 3) == 5 performs the next step of the program logic.
assert add(-1, 1) == 0 performs the next step of the program logic.
print("All tests passed") displays information or calculated result on the screen.

Where will you use it?

Checking code automatically.
Finding wrong output.
Improving reliability.

Common Mistakes

Making code complex when a simple function or class is enough.
Not handling possible errors or edge cases.
Mixing project dependencies instead of using a virtual environment.

Practice Tasks

Type the program in testing-debugging.py and run it.
Change input values or sample data and observe the new output.
Create one example related to checking code automatically.
Write 5 lines explaining the logic in your own words.

Summary

Testing and Debugging is not a theory-only topic. You should be able to explain the meaning, write the example, run it successfully, and use it in a small practical program.

Testing और Debugging क्या है?

Testing और Debugging ka matlab hai: Testing checks whether code works correctly. Debugging helps find and fix errors. Simple words me, ye topic practical Python programs likhne me direct use hota hai.

Is topic ko sirf definition ke liye nahi, balki checking code automatically jaise real examples ke liye practice karein.

यह क्यों सीखना जरूरी है?

Ye checking code automatically me kaam aata hai.
Ye finding wrong output se bhi connected hai.
Isse aap code ka output aur errors better samajh paate hain.

Important Terms

Term	Meaning
assert	Statement used to verify that a condition is true.
unit test	Small test that checks one part of code.
bug	A mistake in code that causes wrong behavior.
traceback	traceback is an important term in this topic.
print debugging	print debugging is an important term in this topic.

Syntax / Basic Pattern

Basic idea: pehle data तैयार करें, phir Python logic apply करें, aur finally result display करें.

Basic Pattern

def add(a, b):
    return a + b
assert add(2, 3) == 5
assert add(-1, 1) == 0
print("All tests passed")

Complete Example Program

Python – testing-debugging.py

def add(a, b):
    return a + b

assert add(2, 3) == 5
assert add(-1, 1) == 0

print("All tests passed")

Expected Output

All tests passed

Program Explanation

def add(a, b): creates a reusable function.
return a + b sends a result back from the function.
assert add(2, 3) == 5 performs the next step of the program logic.
assert add(-1, 1) == 0 performs the next step of the program logic.
print("All tests passed") displays information or calculated result on the screen.

Practical Uses

Checking code automatically.
Finding wrong output.
Improving reliability.

Common Mistakes

Making code complex when a simple function or class is enough.
Not handling possible errors or edge cases.
Mixing project dependencies instead of using a virtual environment.

Practice Tasks

Program ko testing-debugging.py file me type karke run karein.
Values change karke output compare karein.
checking code automatically par ek छोटा example banayen.
Logic ko apne words me 5 lines me likhein.

सारांश

Testing and Debugging ko tab complete maanenge jab aap iska meaning, example, output aur practical use clearly explain kar saken.

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