10 Common Mistakes Beginners Make in Python (And How to Avoid Them)

Python is often praised for its simplicity and readability, making it a top choice for beginners entering the world of programming. However, like any language, Python has its quirks — and new learners frequently fall into the same traps. In this blog post, we'll explore 10 of the most common mistakes Python beginners make, along with tips on how to avoid them.

 

1. Using the Wrong Indentation

Problem: Python uses indentation to define blocks of code. Mixing tabs and spaces or using inconsistent indentation levels causes errors.

Example:

python

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def greet():

    print("Hello")

     print("World"# IndentationError

Tip: Stick to either spaces or tabs (PEP8 recommends 4 spaces). Use an editor that highlights indentation errors.

 

2. Misunderstanding Mutable Default Arguments

Problem: Using a mutable object (like a list or dictionary) as a default argument can lead to unexpected behavior.

Example:

python

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def add_item(item, items=[]):

    items.append(item)

    return items

Calling add_item("apple") multiple times keeps adding to the same list.

Tip: Use None as the default and initialize inside the function:

python

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def add_item(item, items=None):

    if items is None:

        items = []

    items.append(item)

    return items

 

3. Using = Instead of == in Conditions

Problem: Accidentally using = (assignment) instead of == (comparison) in if statements causes syntax errors.

Example:

python

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if x = 5# SyntaxError

    print("x is 5")

Tip: Remember = is for assignment; == is for comparison.

4. Not Using Pythonic Idioms

Problem: Writing code in a non-Pythonic way makes it harder to read and maintain.

Unpythonic:

python

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if len(my_list) > 0:

    print("List is not empty")

Pythonic:

python

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if my_list:

    print("List is not empty")

Tip: Learn and apply common Python idioms to write cleaner code.

 

5. Misusing is vs. ==

Problem: Using is instead of == for value comparison can lead to logic errors.

Example:

python

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a = [1, 2, 3]

b = [1, 2, 3]

print(a is b)   # False

print(a == b)   # True

Tip: Use == to compare values, is to check identity (same object in memory).

 

6. Overcomplicating Simple Tasks

Problem: Beginners often use loops or manual checks when built-in functions do the job better.

Example:

python

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total = 0

for num in [1, 2, 3]:

    total += num

Better:

python

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total = sum([1, 2, 3])

Tip: Get familiar with Python's standard library and built-in functions.

 

7. Ignoring Exceptions

Problem: Beginners may write code that crashes when errors occur without handling exceptions.

Example:

python

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num = int(input("Enter a number: "))  # crashes on non-integer input

Tip: Use try/except blocks to handle potential errors gracefully.

 

8. Not Understanding Variable Scope

Problem: Modifying global variables inside functions without declaring them can cause errors.

Example:

python

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count = 0

def increment():

    count += 1  # UnboundLocalError

Tip: Use global count or better yet, avoid global variables when possible.

 

9. Misusing Loops with range()

Problem: Off-by-one errors are common with range().

Example:

python

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for i in range(1, 10):

    print(i)  # Prints 1 to 9, not 10

Tip: Remember range(start, stop) goes up to but does not include stop.

 

10. Not Reading Error Messages

Problem: New learners often get overwhelmed by traceback messages and ignore them.

Tip: Python’s error messages are usually descriptive. Read from the bottom up and use the line number and error type as a clue.

 

Final Thoughts

Mistakes are part of the learning process, and every Python developer has made most of these errors at some point. The key is to learn from them and keep improving. Write us at info@wifilearning.com if you have any doubt

Happy coding! ????

 

17-Jul-2024

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