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Python Data Science Toolbox (Part 1)

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 Hours12 Videos46 Exercises319,970 Learners3650 XPData Scientist TrackPython Fundamentals TrackPython Programmer Track

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Course Description

It's time to push forward and develop your Python chops even further. There are tons of fantastic functions in Python and its library ecosystem. However, as a data scientist, 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 Python Data Science Toolbox 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 and be able to write lambda functions and handle errors in your function writing practice. And you'll wrap up each chapter by using your new skills to write functions that analyze Twitter DataFrames.

  1. 1

    Writing your own functions

    Free

    In this chapter, 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 scientists.

    Play Chapter Now
    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
    Congratulations!
    50 xp

In the following tracks

Data Scientist Python FundamentalsPython Programmer

Datasets

Tweets

Collaborators

fgcastroFrancisco Castro

Prerequisites

Intermediate Python
Hugo Bowne-Anderson Headshot

Hugo Bowne-Anderson

Data Scientist at DataCamp

Hugo is a data scientist, educator, writer and podcaster 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 hosts and produces: https://www.datacamp.com/community/podcast
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Lloyds Banking Group

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Harvard Business School

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Decision Science Analytics, USAA

Join over 9 million learners and start Python Data Science Toolbox (Part 1) today!

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