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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
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Python Set comprehension - How to Use it Read now

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In python, Set does not allow duplicates, and  you can't modify an existing set with a comprehension. But using the Set comprehension you can create a new Set.


set comprehension


Set Comprehension 


In addition, the comprehension must result in a valid set.  Likewise Dictionary, a set does not allow entries of the same value.


If you try to add values to the set that are already there, it will replace the old one with the new one.

Explained syntax

Set comprehensions using the {} syntax only exist in Python 3. Before that, you'll have to use the set() function to create and work with sets. You might guess, therefore, that one of the best uses of a set is to eliminate duplicates.

In fact, this is one of the most basic forms of set comprehension. Given a list, we can duplicate it as a list with a simple list comprehension like this:

Details of logic

if we change the list comprehension to a set comprehension, we get the same result, but as a set. That means without duplicates.

list_copy = [x for x in original_list]
 

Sample Set comprehension

my_list_with_dupes = [1,2,1,2,3,4,1,2,3,4,5,6,7,1,2,3] 
my_set_without_dupes = {x for x in my_list_with_dupes} 
print(my_set_without_dupes) 

{1, 2, 3, 4, 5, 6, 7}


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