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Introduction to Functions in Python

4.6+
157 reviews
Beginner

Learn the art of writing your own functions in Python, as well as key concepts like scoping and error handling.

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3 Hours10 Videos44 Exercises
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Course Description

It's time to push forward and develop your Python chops even further. Python has tons of fantastic functions and a module ecosystem. However, as a data professional or developer, you'll constantly need to write your own functions to solve problems that are dictated by your data. You will learn the art of function writing in this first course. You'll come out of this course being able to write your very own custom functions, complete with multiple parameters and multiple return values, along with default arguments and variable-length arguments. You'll gain insight into scoping in Python, be able to write lambda functions and handle errors in your function writing practice. You'll wrap up each chapter by using your new skills to write functions that analyze Twitter data.
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In the following Tracks

Certification Available

Associate Data Scientist in Python

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Python Data Fundamentals

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  1. 1

    Writing your own functions

    Free

    You'll learn how to write simple functions, as well as functions that accept multiple arguments and return multiple values. You'll also have the opportunity to apply these new skills to questions commonly encountered by data professionals and developers.

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    User-defined functions
    50 xp
    Strings in Python
    50 xp
    Recapping built-in functions
    50 xp
    Write a simple function
    100 xp
    Single-parameter functions
    100 xp
    Functions that return single values
    100 xp
    Multiple parameters and return values
    50 xp
    Functions with multiple parameters
    100 xp
    A brief introduction to tuples
    100 xp
    Functions that return multiple values
    100 xp
    Bringing it all together
    50 xp
    Bringing it all together (1)
    100 xp
    Bringing it all together (2)
    100 xp
For Business

GroupTraining 2 or more people?

Get your team access to the full DataCamp library, with centralized reporting, assignments, projects and more

In the following Tracks

Certification Available

Associate Data Scientist in Python

Go To Track

Python Data Fundamentals

Go To Track

Datasets

Tweets

Collaborators

Collaborator's avatar
Francisco Castro

Prerequisites

Intermediate Python
Hugo Bowne-Anderson HeadshotHugo Bowne-Anderson

Data Scientist

Hugo is a data scientist, educator, writer and podcaster formerly at DataCamp. His main interests are promoting data & AI literacy, helping to spread data skills through organizations and society and doing amateur stand up comedy in NYC. If you want to know what he likes to talk about, definitely check out DataFramed, the DataCamp podcast, which he hosted and produced.
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*4.6
from 157 reviews
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  • Oriol P.
    about 2 months

    Muy bién para conocer mejor las posibilidades de python

  • Javier M.
    2 months

    Great course!

  • Konstantinos V.
    2 months

    Very usefu knowledge l!!!

  • Tamás C.
    3 months

    Very interesting and cool.

  • Romulo B.
    3 months

    great course to start your data scientist journey

"Muy bién para conocer mejor las posibilidades de python"

Oriol P.

"Great course!"

Javier M.

"Very usefu knowledge l!!!"

Konstantinos V.

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