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Home> Programming> Programming Language> Data Structures Using Python 2024
Data Structures Using Python 2024
Data Structures Using Python 2024

Data Structures Using Python 2024 : Master Data Structures in Python: Unlock the Power of Efficient Programming!

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Profile Icon Surendra Varma Pericherla
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₹700₹4096.99
VideoMay 20246hrs 44mins1st Edition
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₹700 ₹4096.99
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Arrow left icon
Profile Icon Surendra Varma Pericherla
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₹700₹4096.99
VideoMay 20246hrs 44mins1st Edition
Video
₹700 ₹4096.99
Subscription
Free Trial
Renews at ₹800p/m
Video
₹700 ₹4096.99
Subscription
Free Trial
Renews at ₹800p/m

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Key benefits

  • Comprehensive coverage from basic to advanced data structures.
  • Hands-on examples and exercises to reinforce learning.
  • Resources including code files and assessments.

Description

This comprehensive course begins with fundamental concepts, introducing you to basic data structures like arrays and lists, and progressively covers more complex structures such as linked lists, stacks, queues, trees, and graphs. Each lesson is intricately designed to build upon the previous, ensuring a seamless transition from simple to complex data management techniques.As the course unfolds, you'll delve into the practical implementations and theoretical underpinnings of each data structure. We not only explain the operations of each structure but also demonstrate their real-world applications in Python, enabling you to optimize software performance and tackle programming challenges with precision. Detailed video tutorials guide you through the intricacies of data manipulation, ensuring you understand how to effectively utilize data structures in your projects. This approach not only enhances learning but also ensures you can apply these structures to solve practical, real-world problems.By the end of this course, your transformation from a beginner to a proficient Python programmer will be well underway. You'll possess the skills to handle complex data structures, making you a valuable asset in the tech industry.

Who is this book for?

This course is designed for beginner to intermediate programmers, as well as computer science students and self-learners, who already have a basic understanding of programming concepts and are familiar with Python syntax. They should be comfortable with Python's variables, data types, loops, conditionals, and functions, looking to expand their expertise into more complex data structures. It's perfect for software developers and anyone keen to deepen their programming skills through a structured and comprehensive learning path.

What you will learn

  • Define and manipulate various data structures in Python.
  • Implement arrays, lists, tuples, and dictionaries for efficient data handling.
  • Master complex data structures like linked lists, stacks, queues, and trees.
  • Develop proficiency in graph theory and binary search trees.
  • Utilize recursion for elegant and powerful code solutions.
  • Apply data structures to solve common programming challenges.

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Last updated date :May 12, 2025
Publication date :May 06, 2024
Length:6hrs 44mins
Edition :1st
Language :English
ISBN-13 :9781836204671
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Product Details

Last updated date :May 12, 2025
Publication date :May 06, 2024
Length:6hrs 44mins
Edition :1st
Language :English
ISBN-13 :9781836204671
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Languages :
Concepts :
Tools :

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Table of Contents

9 Chapters
Arrays in PythonChevron down iconChevron up icon
Definition
Creating and Displaying 1D Arrays
Accessing 1D Arrays
Searching in 1D Arrays
Insertion in 1D Arrays
Deletion in 1D Arrays
Updating in 1D Arrays
Accessing 2D Arrays
Insertion Operation in 2D Arrays
Deletion Operation in 2D Arrays
Update Operation in 2D Arrays
Lists, Tuples, Sets, and Dictionaries in PythonChevron down iconChevron up icon
Accessing Elements & Searching Element in a List
Working with Operators on Lists
Indexing and Slicing in Lists
Working with List Methods
Append()
Clear()
count()
extend()
index()
insert()
pop()
remove()
reverse()
sort()
List Comprehension
Finding Maximum and Minimum Element in a List
Tuples
Tuple Indexing and Slicing
Manipulating Tuples
Unpacking Tuples
Basics of Dictionary
Accessing dictionary elements
Working with dictionary
Understanding Sets in Python
RecursionChevron down iconChevron up icon
Functions in Python
Example Program1 on Functions
Example Program2 on Functions
Example Program3 on Functions
Recursion
Linked ListsChevron down iconChevron up icon
Basics of Linked Lists
Inserting an Element in a Linked List
Searching an Element in a Linked List
Finding Middle Element in a Linked List
Checking Whether Two Given Linked Lists are Identical or Not
Finding Maximum Value in a Linked List
Deleting the Linked List
StacksChevron down iconChevron up icon
Understanding Stacks
Implementing Stacks in Python
Implementing Stacks Using Lists with Built-in Methods in Python
Implementing Stacks Using Collections-dequeue in Python
Implementing Stacks Using Queue-LifoQueue in Python
Linked List Implementation of Stacks in Python
Stack Application: Balanced Parenthesis
Using Stacks for Checking Balanced Parenthesis
QueuesChevron down iconChevron up icon
Understanding Queues
Implementing Queues Using Lists with Built-in Methods in Python
Implementing Queues Using Collections-dequeue in Python
Implementing Queues Using Queue Module in Python
Implementing Queues Using LinkedLists
Circular Queues
TreesChevron down iconChevron up icon
Tree Terminology
Defining Binary Tree and Complete Binary Tree
Representation of a Binary Tree
Binary Tree Traversals
How to Implement Inorder Traversal in Python?
How to Implement Pre-order Traversal in Python?
How to Implement Post-order Traversal in Python?
How to Implement Height of a Binary Tree in Python?
Sum of Elements in a Binary Tree
Binary Search TreesChevron down iconChevron up icon
Definition of BST with Example
Search Operation in BST
Inserting a Node in BST
Creating a BST
GraphsChevron down iconChevron up icon
Basics of Graphs
Adjacency Matrix Representation
Adjacency List Representation

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About the author

Profile icon Surendra Varma Pericherla
Surendra Varma Pericherla
LinkedIn icon
Surendra Varma is a distinguished educator renowned for his exceptional contributions to the field of Computer Science. With over 16 years of comprehensive experience encompassing teaching, research, and industry expertise, his dedication has touched the lives of many students, many of whom now hold positions in prominent multinational corporations like Amazon, Infosys, Wipro, TCS, CTS, and Accenture. His online training programs have reached students from diverse corners of the globe, spanning countries such as India, USA, Canada, UAE, Australia, UK, and Germany. His proficiency in coding is exemplified by his notable achievement of ranking in the top 5% in the Amazon Coding Assessment.
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