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DATA STRUCTURE AND ALGORITHM USING PYTHON

Computer science is a field of study that deals with solving a variety of problems by using computers. To solve a given problem by using computers, you need to design an algorithm for it. Multiple algorithms can be designed to solve a particular problem. An algorithm that provides the maximum efficiency should be used for solving the problem. The efficiency of an algorithm can be improved by using an appropriate data structure. Data structures help in creating programs that are simple, reusable, and easy to maintain. This module will enable a learner to select and implement an appropriate data structure and algorithm to solve a given programming problem.

WHY YOU NEED TO LEARN DATA STRUCTURE AND ALGORITHM USING PYTHON

If you want to join FAANG and other great IT Firm them this course is for you. Also many startUps are eagerly looking for such candidates who have python and DSA skills. Also if you want to dive into Artificial Intelligence then this course will be starting points for you.

Machine
Learning
User
friendly
Productivity
and Speed
Readable and
Maintainable
Suitable for
building products
WHY YOU SHOULD REGISTER AT LOGICRAYS FOR LEARNING DATA STRUCTURE AND ALGORITHM USING PYTHON COURSE IN AHMEDABAD?
  • Helps individuals sharpen their high-level programming skills
  • Leverage from the trainers having experience of more than 5 years
  • Proven and well-tested teaching methods for the newbie programmers
  • Get benefit of job placement assistance
  • Get mentored by the industry best DSA experts

If you are planning to learn Data Structure and Algorithms using Python from the professionals, get in touch with us now!

For any questions, you can contact us or visit LogicRays Academy center.

DATA STRUCTURE AND ALGORITHM
  • What is Algorithm
  • Review of Basic Python
  • Data types in Python
  • Control Structure in Python
  • Exception Handling
  • Defining Function
  • Object Oriented Programming in Python
  • A Basic Implementation of class
  • Make your class Comparable
  • What is Algorithm Analysis
  • Big-O Notation
  • Anagram Detection Example
  • Performance of Python Data Structure
  • What are Linear Structure
  • What is a Stack
  • Stack Abstract Data Types
  • Implementing a Stack in Python
  • Solving Real World problem using Stack

  • What is a Queue
  • The Queue Abstract Data Type
  • Implementating a Queue in Python
  • Solving Real World problem using Queue

  • What is a Deque
  • The Deque Abstract Data Type
  • Implementating a Deque in Python
  • Solving Real World problem

  • List in Python
  • The Unordered List Abstract Data Types
  • Implementaating an Unordered List: Linked List
  • Ordered List Abstract Data Types
  • Implementating an Ordered List
  • What is Recursion
  • Implementing recursion example
  • Basic strategy to implement recursion
  • Dynamic Programming
  • What is searching
  • Sequential search algorithm
  • Binary search algorithm
  • Hashing technique
  • Sorting technique
  • Bubble Sort
  • Selection Sort
  • Insertion Sort
  • Shell Sort
  • Merge Sort
  • Quick Sort
  • Examples of Trees
  • List of Lists Representation
  • Nodes and References
  • Parsing Tree
  • Tree Traversals
  • Priority Queues with Binary Heaps
  • Binary Heap Operations and Implementation
  • Binary Search Tree
  • Binary Search Tree Operations and Implementation
  • AVL Tree Performance and Implementations
  • Graph Abstract Data Type
  • Adjacency Matrix
  • Adjacency List
  • Implementing adjacency List
  • Introduction to Graphs
  • Implementing Breadth First Search
  • Introduction to Knight's Tour Problem
  • Building and Implementing Knight's Tour Graph
  • General Depth First Search
  • Sortest path Problem
  • Dijkstra Algorithm
  • Prim's Spanning Tree Algorithm
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