Name: Python Data Structures
Rating: 4.726190476190476 (672 reviews)

Python Data Structures

In this course, you'll get to know the fundamental data structures of the Python programming language. We'll explore utilizing Python's native data structures like lists, dictionaries, tuples, and sets to tackle different challenges.

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31 chapters

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Outcomes

Learning outcomes

Modules

Testimonials

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Codefinity advantages

FAQs

What you will learn

Understand and utilize lists, dictionaries, tuples, and sets in Python to address programming challenges.
Develop skills in creating, indexing, and manipulating lists for dynamic data collection tasks.
Master dictionary operations including information extraction, item addition, and dictionary comprehensions.
Gain proficiency in tuple operations, including element access, concatenation, and updates, enhancing data structure versatility.

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31 assignments

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There are 4 modules in this course

What is a list? A list is an ordered collection that can be modified. It also allows for duplicate elements.

What is a dictionary? A dictionary is an ordered collection that can be changed, but it doesn't allow duplicate entries. It consists of `key:value` pairs, which are used to optimize its structure.

What is a tuple? A tuple is an ordered collection that cannot be altered. It can have duplicate elements. While it's similar to a list, the values in a tuple can be of any type and are indexed by integers. Although not mandatory, it's common to enclose the values of a tuple in parentheses, making them easier to understand in Python.

What is a set? In Python, a `set` is an unordered collection that is both `iterable` and `mutable`, with no repeated elements. While the order of items in a set isn't fixed, it can include a variety of elements. A key benefit of using sets over lists is their highly efficient method for determining if an element exists within the set.

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Showing 3 of 50 reviews

Christer Gellerman

Reviewed on Oct 30, 2025

Kristine Snyder

Reviewed on Oct 30, 2025

The overall organizational structure is good, but the task instructions are rather redundant in a way that took some filtering to use effectively. It would be nice if the overall goal were placed up top and any specific instructions were given in the bullets. That said, maybe it's a good test to have the student have to filter out what's necessary.

rdm.sntrk@gmail.com

Reviewed on Oct 29, 2025

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Introduction to Python

C++ Introduction

C# Basics

C Basics

Data Types in Python

R Introduction

Introduction to JavaScript

Java Basics

Advanced Techniques in SQL

C++ OOP

Conditional Statements in Python

Introduction to Blockchain

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Your subscription also includes:

Introduction to Python

C++ Introduction

C# Basics

C Basics

Data Types in Python

R Introduction

Introduction to JavaScript

Java Basics

Advanced Techniques in SQL

C++ OOP

Conditional Statements in Python

Introduction to Blockchain

Introduction to Python

C++ Introduction

C# Basics

C Basics

Data Types in Python

R Introduction

Introduction to JavaScript

Java Basics

Advanced Techniques in SQL

C++ OOP

Conditional Statements in Python

Introduction to Blockchain

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