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15 Python Tips : How to Write Code Effectively

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 Here are some Python tips to keep in mind that will help you write clean, efficient, and bug-free code.     Python Tips for Effective Coding 1. Code Readability and PEP 8  Always aim for clean and readable code by following PEP 8 guidelines.  Use meaningful variable names, avoid excessively long lines (stick to 79 characters), and organize imports properly. 2. Use List Comprehensions List comprehensions are concise and often faster than regular for-loops. Example: squares = [x**2 for x in range(10)] instead of creating an empty list and appending each square value. 3. Take Advantage of Python’s Built-in Libraries  Libraries like itertools, collections, math, and datetime provide powerful functions and data structures that can simplify your code.   For example, collections.Counter can quickly count elements in a list, and itertools.chain can flatten nested lists. 4. Use enumerate Instead of Range     When you need both the index and the value in a loop, enumerate is a more Pyth

These Tips Helpful to Remove Python List and Dictionary Duplicates

In this post, I have shared top ideas to remove duplicates from the list. Those are with Append and Dictionary.


Python: How to Remove Duplicates From List

1. How to Remove Duplicates with Append

# Here is a list with duplicates

list_with_duplicates = [1,2,3,12,1,2,3,4,5,6,1,2,3,7,8,9]

It is simple if you follow the first-approach - brute force approach:

list_without_duplicates = []

for pd in list_with_duplicates:
  if pd not in list_without_duplicates:
      list_without_duplicates.append(pd)
print(list_without_duplicates)

Result:

[1, 2, 3, 12, 4, 5, 6, 7, 8, 9]

This method has performance issues when the list is bigger in size. 

Real-time.

Idea 1:  Remove Duplicates Using Append.



2. How to Remove Duplicates with Dictionary


# Here is you can convert a list to a dictionary

dict_without_duplicates = dict(zip(list_with_duplicates, list_with_duplicates))
print(dictionary_without_duplicates)

Result:

{1: 1, 2: 2, 3: 3, 12: 12, 4: 4, 5: 5, 6: 6, 7: 7, 8: 8, 9: 9}


Real-time.

Idea 2: Remove Duplicates Using Dictionary.


Once again, this works and has the advantage of taking less space than duplicating the entire list. 


Notes: Of course, we still need to convert it back to a list when we did, which will be somewhat painful since we must extract the keys and add them to a list.

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