课程

Data Types in Python

中级技能水平

更新时间 2026年5月

Consolidate and extend your knowledge of Python data types such as lists, dictionaries, and tuples, leveraging them to solve Data Science problems.

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课程描述

Have you got your basic Python programming chops down but are yearning for more? Then this is the course for you. Herein, you'll consolidate and practice your knowledge of lists, dictionaries, tuples, sets, and date times. You'll see their relevance in working with lots of real data and how to leverage several of them in concert to solve multistep problems, including an extended case study using Chicago metropolitan area transit data. You'll also learn how to use many of the objects in the Python Collections module, which will allow you to store and manipulate your data for a variety of purposes. After taking this course, you'll be ready to tackle many data challenges Pythonically.

先决条件

1

Fundamental Sequence Data Types

This chapter will introduce you to the fundamental Python data types - lists, sets, and strings. These data containers are critical as they provide the basis for storing and looping over ordered data. To make things interesting, you'll apply what you learn about these types to answer questions about the New York Baby Names dataset!

Introduction and lists

50 经验值

Manipulating lists for fun and profit

100 经验值

Looping over lists

100 经验值

Meet the tuples

50 经验值

Data type usage

50 经验值

Using and unpacking tuples

100 经验值

Making tuples by accident

100 经验值

50 经验值

Formatted String Literals ("f" strings)

100 经验值

Combining multiple strings

100 经验值

Finding strings in other strings

100 经验值

2

Dictionaries - The Root of Python

At the root of all things Python is a dictionary. Herein, you'll learn how to use them to safely handle data that can viewed in a variety of ways to answer even more questions about the New York Baby Names dataset. You'll explore how to loop through data in a dictionary, access nested data, add new data, and come to appreciate all of the wonderful capabilities of Python dictionaries.

Using dictionaries

50 经验值

Creating and looping through dictionaries

100 经验值

Safely finding by key

100 经验值

Altering dictionaries

50 经验值

Adding and extending dictionaries

100 经验值

Popping and deleting from dictionaries

100 经验值

Pythonically using dictionaries

50 经验值

Working with dictionaries more pythonically

100 经验值

Checking dictionaries for data

100 经验值

Mixed data types in dictionaries

50 经验值

Dealing with nested dictionaries

100 经验值

Dealing with nested mixed types

100 经验值

3

Numeric Data Types, Booleans, and Sets

Let's take a step away from dictionaries and look at some other common numeric and boolean data types along with sets.

Numeric data types

50 经验值

Choosing when to use integers and floats

100 经验值

Printing floats

100 经验值

Division with integers and floats

100 经验值

Booleans - The logical data type

50 经验值

More than just true and false

100 经验值

Comparisons

100 经验值

Truthy, True, Falsey, and False

100 经验值

Sets (unordered data with optimized logic operations)

50 经验值

Determining set differences

100 经验值

Finding all the data and the overlapping data between sets

100 经验值

4

Advanced Data Types

Some data types are composites of other data types and give me even more capabilities than a fundamental data type. Let's explore a few complex types from the collections module and data classes.

Counting made easy

50 经验值

Using Counter on lists

100 经验值

Finding most common elements

100 经验值

Dictionaries of unknown structure - Defaultdict

50 经验值

Creating dictionaries of an unknown structure

100 经验值

Safely appending to a key's value list

100 经验值

What do you mean I don't have any class? Namedtuple

50 经验值

Creating namedtuples for storing data

100 经验值

Leveraging attributes on namedtuples

100 经验值

Dataclasses

50 经验值

Creating a dataclass

100 经验值

Using dataclasses

100 经验值

50 经验值

Data Types in Python

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