course
Data Structures and Algorithms in Python
AvanceradFärdighetsnivå
Uppdaterad 2026-02PythonProgramming4 timmar16 videos49 exercises4,050 XP40,848Uttalande om prestation
Skapa ditt gratiskonto
eller
Genom att fortsätta accepterar du våra Användarvillkor, vår Integritetspolicy och att dina uppgifter lagras i USA.Älskad av elever på tusentals företag
Utbilda 2 eller fler personer?
Testa DataCamp for BusinessKursbeskrivning
Recognize Popular Data Structures and Algorithms
Most computer programs are based on a few data structures and algorithms. Learn about what’s behind the hood of most of your computer interactions in this four-hour course! You’ll familiarize yourself with some of the most common data structures: linked lists, stacks, queues, and trees. You’ll also implement popular algorithms, such as Depth First Search, Breadth First Search, Bubble sort, Merge sort, and Quicksort.Learn to Spot Data Structures and Algorithms in Everyday Life
You'll practice applying data structures and algorithms to decks of cards, music playlists, international dishes, and stacks of books. You’ll walk away with the ability to recognize common data structures and algorithms, and implement them in day-to-day applications!Analyze the Efficiency of Algorithms
Along the way, you’ll stop to analyze popular algorithms in terms of their efficiency. You’ll come to grips with “Big O Notation”, the industry standard for describing the complexity of an algorithm.Sharpen Your Python Programming Knowledge
Being well-versed with data structures and algorithms means being able to take everyday problems and solve them using efficient code. You’ll be practising this in Python, you’ll take these fundamental and transferable skills with you to any programming language.Förkunskapskrav
Introduction to Object-Oriented Programming in Python1
Work with Linked Lists and Stacks and Understand Big O notation
You’ll begin by learning what algorithms and data structures are. You will discover two data structures: linked lists and stacks. You will then learn how to calculate the complexity of an algorithm by using Big O Notation.
2
Queues, Hash Tables, Trees, Graphs, and Recursion
This second chapter will teach you the basics of queues, hash tables, trees, and graphs data structures. You will also discover what recursion is.
3
Searching algorithms
This chapter will focus on searching algorithms, like linear search, binary search, depth first search, and breadth first search. You will also study binary search trees and how to search within them.
4
Sorting algorithms
This chapter will teach you some sorting algorithms, like bubble sort, selection sort, insertion sort, merge sort, and quicksort.
Data Structures and Algorithms in Python
Kursen är
Få ett prestationsutlåtande
Lägg till denna inloggningsuppgifter i din LinkedIn-profil, ditt CV eller ditt CVDela det på sociala medier och i ditt prestationssamtalRegistrera Dig Nu
Gå med över 19 miljoner elever och börja Data Structures and Algorithms in Python idag!
Skapa ditt gratiskonto
eller
Genom att fortsätta accepterar du våra Användarvillkor, vår Integritetspolicy och att dina uppgifter lagras i USA.Utveckla dina datakunskaper med DataCamp för mobilen
Gör framsteg när du är på språng med våra mobila kurser och dagliga 5-minuters kodningsutmaningar.