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Data Structures and Algorithms
with Python

Difficulty ( Advanced )13 Modules12 MonthsAge 15~

Which Data Structures and Algorithms (DSA) Course is Right for You?

Category
with PythonCurrent
with Javawith C++
KeywordsIntuitive, Fast Implementation, AI & Data ScienceStructural, AP CSA Extension, Enterprise StandardMaximum Performance, Memory Control, Deep CS Foundation
DescriptionPython's readable syntax allows students to focus purely on algorithmic logic. Automatic memory management makes coding extremely fast and efficient.Java is the gold standard for OOP and the official language for AP CSA. It is the perfect continuation for mastering university-level software architecture.C++ offers precise memory control and unmatched performance. Students learn to build data structures from scratch, gaining a strong foundation in low-level programming.
Recommended ForFirst-time algorithm learners, and students interested in AI, machine learning, or data science.Students who completed AP CSA and want to delve deeper into large-scale application development.Future CS majors, and students interested in game engines, robotics, or "under the hood" mechanics.

Course Description

Explore the foundational principles of data organization and algorithm design in this rigorous college-level course.

Covering essential topics such as linked lists, queues, stacks, hash maps, sorting algorithms, trees, graphs, and various algorithmic strategies, students will learn to analyze, implement, and optimize data structures for efficient problem-solving.

Emphasis will be placed on understanding asymptotic notation for algorithmic complexity, as well as practical applications of data structures and algorithms in software development.

By the end of the course, students will be equipped with the skills to design robust algorithms, assess their efficiency, and apply them to real-world computational problems.

Course Designed For

This course is intended for students pursuing a degree in Computer Science or related fields who need a solid understanding of data structures and algorithms.

It is suitable for individuals with programming experience who want to deepen their knowledge and skills in data structures and algorithms.

Requirements

Proficiency in programming

What You Will Learn

Linked Lists & Nodes
Queues & Stacks
Hash Maps
Asymptotic Notation
Pattern Searching
Sorting Algorithms
Brute Force Algorithms
Trees & Tree Traversal
Divide and Conquer
Heaps & Heapsort
Graph Search
Greedy Algorithms
Pathfinding Algorithms

Course Details

Objective / Topics Covered
Node FundamentalsSingly Linked ListsDoubly Linked ListsCircular Linked ListsInsertion & Deletion
Example Exercises

Custom Linked List Implementation

Build a fully functional doubly linked list class from scratch in Python, implementing methods to append, prepend, insert, and delete nodes.

LRU Cache Mechanism

Design a Least Recently Used (LRU) cache using a combination of a hash map and a custom doubly linked list to achieve O(1) time complexity.

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