课程
Data Structures and Algorithms in Python
高级技能水平
更新时间 2026年2月
PythonProgramming4 小时16 视频49 练习4,050 经验值42,199成就声明
创建你的免费账户
继续使用 Google显示更多选项或
继续操作即表示您接受我们的《使用条款》和《隐私政策》，并同意您的数据存储在美国。
深受数千家公司学习者的喜爱
Training a Team?
Try for Business课程描述
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.先决条件
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
课程完成 加入超过19百万学习者，今天就开始Data Structures and Algorithms in Python！
创建你的免费账户
继续使用 Google显示更多选项或
继续操作即表示您接受我们的《使用条款》和《隐私政策》，并同意您的数据存储在美国。
通过 DataCamp for Mobile 提升您的数据技能
随时随地通过我们的移动课程和每日 5 分钟编程挑战提升技能。