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This tutorial is a beginner-friendly guide for learning data structures and algorithms using Python In this article, we will discuss the in-built data structures such as lists, tuples, dictionaries, etc and some user-defined data structures such as linked lists, trees, graphs, etc 1 List List is a built-in dynamic array which can store elements of different data types It is an ordered
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The article will teach you the basics of data structures and algorithms in Python Arrays, lists, dictionaries, tuples, sets, and queues are all there and more
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Learn what data structures and algorithms are, why they are useful, and how you can use them effectively in Python
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A beginner-friendly introduction to common data structures (linked lists, stacks, queues, graphs) and algorithms (search, sorting, recursion, dynamic programming) in Python This course will help you prepare for coding interviews and assessments
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Enhance Python programming skills alongside DSA concepts Who Should Enroll in this Data Structures Algorithms in Python Course? Beginners: If you're new to programming or Python, this course will help you build a strong foundation in Data Structures and Algorithms from the ground up
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Beau Carnes Algorithms and data structures are important for most programmers to understand We just released a course on the freeCodeCamp YouTube channel that is a beginner-friendly introduction to common data structures (linked lists, stacks, queues, graphs) and algorithms (search, sorting, recursion, dynamic programming) in Python
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Data Structures are a way of organizing data so that it can be accessed more efficiently depending upon the situation Data Structures are fundamentals of any programming language around which a program is built Python helps to learn the fundamental of these data structures in a simpler way as compared to other programming languages
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In this module, we will introduce graphs, one of the most versatile data structures in computer science You will learn to represent graphs using adjacency matrices and lists, equipping you with the tools to understand and implement graph-based algorithms for real-world problems
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