Data Structures & Algorithms Using Python - Ultimate Course

Unleash the Power of DSA! Unlock Data Structures & Algorithms Wizardry and Transform Your Coding Skills from 0 to Master

What you'll learn

Implementation of Data Structures: Stacks, Queues, Deques, Dynamic Arrays, Linked Lists, Hashmaps, Binary Search Trees & Graphs

Recursion: Working Principle & Implementation

Implementation of Sorting Algorithms: Bubble Sort, Selection Sort, Insertion Sort, Quick Sort, Merge Sort

Implementation of Searching Algorithms: Linear Search (Iterative, Two pointers and Recursive approach), Binary Search (Iterative and Recursive approach)

Interpolation Search & Jump Search

Requirements

Just a basic knowledge about Python Programming

Description

Welcome to the ultimate comprehensive course on Data Structures and Algorithms using Python! This course is designed to equip you with the essential knowledge and skills to excel in the world of programming and problem-solving.Throughout this course, you will delve into a wide range of data structures such as stacks, queues, deque, dynamic arrays, hash-maps/ hash-tables/ dictionaries, binary search trees, graphs, and linked lists along with quizzes and coding exercises. You will gain a deep understanding of their properties, implementation, and practical applications.Stack : Is empty, push, pop, peek, size, displayQueue : Is empty, enqueue, dequeue, peek, size, displayDeque : Is empty, add front, remove front, add rear, remove rear, peek front, peek rear, size, displayDynamic Array: Length, get item, append, insert at, pop, remove at, displayLinked List: append, insert, delete, length, displayHashMap/ HashTable/ Dictionary : find hash, get item, set item, delete item, displayBinary Search Tree: Insert, height, display, search, deleteGraph: add node, add edge, remove node, remove edge, get adjacent nodes, get nodes, get edges, is adjacent, get degree, depth first search algorithm, is connected, displayIn addition to data structures, this course will also cover crucial algorithms. You will explore the power of recursion and learn how to break down complex problems into smaller, solvable parts. Recursion: Working principle with example and codeThe course will guide you through various sorting algorithms like:Bubble sortSelection sortInsertion sortQuicksortMerge sortenabling you to organize and order data efficiently.Furthermore, you will master searching algorithms, including:Linear search with iterative, two pointers, and recursive approachesBinary search with iterative and recursive implementationsInterpolation searchJump searchBy the end of this course, you will have a solid foundation in data structures and algorithms, empowering you to approach programming challenges with confidence and efficiency. Enroll now and embark on a journey towards becoming a skilled and resourceful developer.© All Rights Reserved

Overview

Section 1: Prerequisites

Lecture 1 Swapping of Two Variables (with & without temporary variable and shortcut trick)

Section 2: Recursion

Lecture 2 Recursion (Theory + coding)

Section 3: Data Structures

Lecture 3 Stack (Theory + Coding)

Lecture 4 Queue (Theory + Coding)

Lecture 5 Deque (Theory + Coding)

Lecture 6 Dynamic Array Theory

Lecture 7 Dynamic Array Coding

Lecture 8 Linked List Theory

Lecture 9 Linked List Coding

Lecture 10 Hash-Maps / Hash-Tables / Dictionaries Theory

Lecture 11 Hash-Maps / Hash-Tables / Dictionaries Coding

Lecture 12 Binary Search Tree Theory

Lecture 13 Binary Search Tree Coding Part 1

Lecture 14 Binary Search Tree Coding Part 2

Lecture 15 Graph Theory

Lecture 16 Graph Coding Part 1

Lecture 17 Graph Coding Part 2

Section 4: Sorting Algorithms

Lecture 18 Bubble Sort Theory

Lecture 19 Bubble Sort Coding

Lecture 20 Selection Sort Theory

Lecture 21 Selection Sort Time and Space Complexity

Lecture 22 Selection Sort Coding

Lecture 23 Insertion Sort Theory

Lecture 24 Insertion Sort Coding

Lecture 25 Quick Sort Theory

Lecture 26 Quick Sort Coding

Lecture 27 Merge Sort Theory

Lecture 28 Merge Sort Coding

Section 5: Searching Algorithms

Lecture 29 Linear Search Theory

Lecture 30 Linear Search Coding

Lecture 31 Linear Search with Two Pointers Theory

Lecture 32 Linear Search with Two Pointers Coding

Lecture 33 Linear Search with Two Pointers (Test on Different Test Case)

Lecture 34 Linear Search Algorithm using Recursion Coding

Lecture 35 Binary Search Theory

Lecture 36 Binary Search Coding

Lecture 37 Binary Search using Recursion Coding

Lecture 38 Interpolation Search Coding

Lecture 39 Jump Search Theory

Lecture 40 Jump Search Coding

This course is designed for anyone looking to enhance their programming skills and deepen their understanding of data structures and algorithms. Whether you are a beginner starting your coding journey or an experienced programmer seeking to level up, this course will provide valuable knowledge and practical skills. If you aspire to become a software developer, this course will equip you with the essential tools and techniques to excel in your career. It's also beneficial for computer science students, coding enthusiasts, and anyone interested in solving problems efficiently and writing optimized code. Regardless of your background or current skill level, this course will guide you step-by-step, starting from the basics and gradually progressing to more advanced concepts. With a hands-on approach and real-world examples, you'll gain the confidence to tackle coding challenges and build efficient solutions using data structures and algorithms. No matter where you are in your programming journey, if you have a passion for learning and a desire to become a proficient coder, this course is for you. Enroll now and embark on a transformative learning experience that will set you on the path to success in the world of programming.