Utilizing Built-in Functions

When coding in Python, it’s vital to recognize the extensive array of built-in functions and libraries available. These tools can help you complete tasks more efficiently. Rather than crafting your own solutions for standard tasks, consider harnessing these highly optimized built-in options, which can drastically accelerate your code.

For instance, instead of developing your own sorting method, you can simply apply the built-in sorted() function:

numbers = [3, 1, 4, 2, 5]

# Non-Pythonic approach

def bubble_sort(lst):

for i in range(len(lst)):

for j in range(len(lst)-1):

if lst[j] > lst[j+1]:

lst[j], lst[j+1] = lst[j+1], lst[j]

return lst

print(bubble_sort(numbers))

# Pythonic approach

print(sorted(numbers))

The second example showcases how to use the built-in zip() function to iterate over multiple lists simultaneously:

# Non-Pythonic approach

names = ["Alice", "Bob", "Charlie"]

ages = [25, 30, 35]

for i in range(len(names)):

print(names[i], ages[i])

# Pythonic approach

for name, age in zip(names, ages):

print(name, age)

Employing built-in functions and libraries is a straightforward and efficient method to enhance the performance of your Python code. Always verify if a built-in option exists that can simplify your task before opting to create your own solution.

Considering Performance vs. Readability

It's essential to acknowledge that utilizing built-in functions and libraries may involve a trade-off between performance and readability. Weigh this consideration carefully when deciding whether to use built-in tools or to develop your own functionalities.

More insights can be found at PlainEnglish.io. Subscribe to our free weekly newsletter and connect with us on Twitter, LinkedIn, YouTube, and Discord.