1. “Mastering If Else List Comprehension: Tips and Tricks” 2. “10 Practical Examples of If Else List Comprehension”

Mastering If Else List Comprehension: Tips and Tricks

If-else statements and list comprehension are two powerful features in Python that enable users to write clean and concise code. In fact, combining the two can lead to even greater efficiency and readability. Here are some tips and tricks for mastering if else list comprehension.

Understanding If Else List Comprehension

List comprehension is a concise way to create lists in Python. It allows you to write a for loop in a single line. The syntax for list comprehension is as follows:

“`python
new_list = [expression for item in iterable if condition]
“`

If-else statements, on the other hand, allow you to execute different operations based on conditions. The syntax for if-else statements is as follows:

“`python
result = true_value if condition else false_value
“`

Combining these two features, you can create a more efficient and readable code using if else list comprehension.

Tips and Tricks for If Else List Comprehension

1. Keep It Short and Simple (KISS) – If else list comprehension is meant to simplify your code. Avoid using complex expressions or nested loops as much as possible.

2. Use Parenthesis – Parenthesis around if-else statements clean up expressions and improve readability.

“`python
new_list = [(string.strip() if string is not None else “”) for string in old_list]
“`

3. Avoid Duplications – Use a variable or function to avoid duplication of code in multiple list comprehension statements.

“`python
clean_string = (lambda string: string.strip() if string is not None else “”)
new_list = [clean_string(string) for string in old_list]
“`

10 Practical Examples of If Else List Comprehension

1. Create a list of odd numbers:

“`python
odd_numbers = [x for x in range(10) if x%2!=0]
“`

2. Create a new list with lowercased strings:

“`python
old_list = [“Hello”, “World”]
new_list = [string.lower() for string in old_list]
“`

3. Create a new list by filtering strings longer than 5 characters:

“`python
old_list = [“Hello”, “My”, “Name”, “Is”, “John”]
new_list = [string for string in old_list if len(string) > 5]
“`

4. Convert a list of integers to a list of strings:

“`python
old_list = [1, 2, 3, 4, 5]
new_list = [str(number) for number in old_list]
“`

5. Create a new list by adding the first and last element of each tuple:

“`python
old_list = [(1, 2), (3, 4), (5, 6)]
new_list = [pair[0]+pair[1] for pair in old_list]
“`

6. Create a new list by replacing None values with 0:

“`python
old_list = [1, 2, None, 3, None, 4]
new_list = [num if num is not None else 0 for num in old_list]
“`

7. Create a new list by filtering even numbers and multiplying by 10:

“`python
old_list = [1, 2, 3, 4, 5]
new_list = [number*10 for number in old_list if number%2==0]
“`

8. Create a new list by filtering tuples with even values:

“`python
old_list = [(1, 2), (3, 4), (5, 6), (7, 8)]
new_list = [pair for pair in old_list if all(x%2==0 for x in pair)]
“`

9. Create a new list by filtering strings that contain “e”:

“`python
old_list = [“Hello”, “World”, “Python”, “Programming”]
new_list = [string for string in old_list if “e” in string]
“`

10. Create a new list with the first letter of each string capitalized:

“`python
old_list = [“hello”, “world”, “python”, “programming”]
new_list = [string.capitalize() for string in old_list]
“`

Conclusion

If else list comprehension is a powerful feature in Python that enables you to simplify your code and make it more readable. By adhering to the tips and tricks mentioned above, you can master this feature and write more efficient code. By providing practical examples, you can apply this knowledge to real-life scenarios in your coding. So go ahead, experiment with if else list comprehension, and improve your coding skills!

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