Member-only story
15 Important Python Functions That Will Change How You Work with Data!
In this guide, we’ll explore 15 important Python functions that every data scientist should remember. Each function will come with easy explanations, examples, and tips for using them in real life.
Why Python Functions Matter
In Python, functions are little blocks of code that help you perform specific tasks. Knowing the right functions can save you time, improve your code, and make data analysis a lot smoother. Let’s take a look at some functions that you’ll find super helpful in your data science journey.
1.print()
The print()
function is your go-to for displaying information on the screen. It’s especially handy for debugging and showing results.
- How to Use:
print("Hello, World!")
- Example:
# Print a welcoming message
print("Welcome to Data Science!")
2 len()
The len()
function tells you how many items are in an object, like a list or a string. This is crucial when you're dealing with data collections.
- How to Use:
len(object)
- Example:
# Find the length of a list
data_list = [1, 2, 3, 4, 5]
print(len(data_list)) #…