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10 Must-Know Python Methods

10 Must-Know Python Methods

Python is a versatile language, and mastering its built-in methods can significantly boost your productivity. Here are 10 essential Python methods every developer should know.

1. len()

The len() method returns the number of items in an object. It can be used for strings, lists, tuples, and more.

my_list = [1, 2, 3, 4]
print(len(my_list))  # Output: 4

2. max()

The max() method returns the largest item in an iterable or the largest of two or more arguments.

numbers = [3, 7, 2, 8, 1]
print(max(numbers))  # Output: 8

3. min()

Similar to max(), the min() method returns the smallest item in an iterable.

numbers = [3, 7, 2, 8, 1]
print(min(numbers))  # Output: 1

4. sorted()

The sorted() method returns a new sorted list from the elements of any iterable.

numbers = [3, 7, 2, 8, 1]
print(sorted(numbers))  # Output: [1, 2, 3, 7, 8]

5. sum()

The sum() method adds all the items in an iterable and returns the result.

numbers = [3, 7, 2, 8, 1]
print(sum(numbers))  # Output: 21

6. abs()

The abs() method returns the absolute value of a number.

num = -5
print(abs(num))  # Output: 5

7. any()

The any() method returns True if any element in the iterable is true; otherwise, it returns False.

conditions = [False, True, False]
print(any(conditions))  # Output: True

8. all()

The all() method returns True if all elements in the iterable are true; otherwise, it returns False.

conditions = [True, True, True]
print(all(conditions))  # Output: True

9. enumerate()

The enumerate() method adds a counter to an iterable and returns it as an enumerate object.

my_list = ['apple', 'banana', 'cherry']
for index, item in enumerate(my_list):
    print(index, item)
# Output:
# 0 apple
# 1 banana
# 2 cherry

10. zip()

The zip() method combines two or more iterables by pairing their elements.

names = ['John', 'Jane', 'Doe']
ages = [25, 30, 35]
combined = zip(names, ages)
print(list(combined))
# Output: [('John', 25), ('Jane', 30), ('Doe', 35)]

These 10 Python methods can greatly simplify your code and enhance your understanding of the language. Familiarizing yourself with them will definitely make your coding more efficient and Pythonic.

Created on Sept. 9, 2024, 7:37 a.m.