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Data Structures and Algorithms in Python - AI-Powered Course
4.6
Intermediate
19h
Data Structures and Algorithms in Python
Discover data structures and algorithms using Python. Gain insights into solving real-world problems and typical interview questions with detailed reviews, explanations, and hands-on coding exercises.
Join 2.8M developers at
Overview
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Data structures and algorithms are among the most fundamental concepts of Computer Science. Whether it’s real-world problems you’re trying to solve or the typical coding question asked in an interview, almost every problem requires you to demonstrate a deep understanding of data structures and algorithms.
This course is a detailed review of some of the most common data structures and algorithms that you’ll see in interviews and your everyday work. With implementation details, thorough explanations, and hands-on coding exercises, you’ll quickly gain the confidence you need to solve any problem, no matter the situation.
Data structures and algorithms are among the most fundamental concepts of Computer Science. Whether it’s real-world problems you...Show More
TAKEAWAY SKILLS
Python
Programming Language
Data Structures
Algorithms
Content
88 Lessons8 Quizzes14 Challenges
1.
Introduction
1 Lessons
Get familiar with data structures, algorithms, and fundamental Python problem-solving techniques.
2.
Stack
6 Lessons
Get started with stacks in Python for LIFO operations, reversing strings, and decimal to binary conversion.
3.
Singly Linked Lists
18 Lessons
Examine singly linked lists, including creation, insertion, deletion, swaps, and more.
4.
Circular Linked Lists
7 Lessons
Find out about circular linked lists, their operations, and applications in Python.
5.
Doubly Linked Lists
9 Lessons
Solve problems in doubly linked lists involving appending, prepending, deleting, reversing, and finding sums.
6.
Arrays
7 Lessons
Focus on array manipulation, algorithms for optimal task assignment, intersection, and stock trading.
7.
Binary Trees
8 Lessons
Piece together the parts of binary tree structures, traversal methods, height, and size calculations.
8.
Binary Search Trees
4 Lessons
Learn how to use binary search trees for organizing, inserting, and validating nodes.
9.
Binary Search
11 Lessons
Walk through binary search applications, enhancing efficiency for sorted lists in Python.
10.
Recursion
6 Lessons
Work your way through recursive algorithms for string manipulation and integer multiplication.
11.
String Processing
11 Lessons
Grasp the fundamentals of Python string processing through sequences, conversions, and permutation checks.
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