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Complete Guide To Python Data Structures And Algorithms Course
Published 1/2026
Created by Logic Labs
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 32 Lectures ( 5h 14m ) | Size: 2.85 GB [/center]
Core Concepts of Python Data Structures and Algorithms Explained Clearly
What you'll learn
Overview of Data Structures and Algorithms
Importance of Data Structures and Algorithms in Programming
Basic Concepts: Time Complexity, Space Complexity, Big O Notation
Data Types and Data Structures in Python
Functions and Control Flow Structures
Introduction to Arrays and Lists
Array Operations: Accessing Elements, Insertion, Deletion
List Manipulation and Traversal
Operations on Linked Lists: Insertion, Deletion, Traversal
Analyzing the Efficiency of Linked List Operations
Introduction to Stacks and Queues
Implementing Stacks and Queues using Arrays and Linked Lists
Stack and Queue Operations - Push, Pop, Enqueue, Dequeue
Tree Traversal Algorithms: Inorder, Preorder, Postorder
Hashing Techniques: Separate Chaining, Open Addressing
Comparison-Based Sorting Algorithms: Bubble Sort, Selection Sort, Insertion Sort, Merge Sort, Quick Sort
Linear search
Binary search
Recursion and Recursive Algorithms
Dynamic Programming: Principles and Applications and more.....
Requirements
Basic programming logic and Python programming
Description
Unlock the power of Python Data Structures and Algorithms and take your programming skills to the next level. This course is designed for beginners, intermediate programmers, and anyone looking to master efficient coding techniques that are essential for software development, problem-solving, and technical interviews.You will begin by understanding the core concepts of Python Data Structures and Algorithms, including lists, stacks, queues, linked lists, trees, and graphs. Each concept is explained in a simple, practical way, allowing you to see how it works in real-world applications and why it matters for writing efficient code.The course then dives deeper into algorithms, covering essential topics such as searching, sorting, recursion, and dynamic programming. You'll learn how to analyze algorithm performance, optimize code, and solve problems faster using Python's powerful features.Practical hands-on coding is a key focus of this course. You'll work on real examples and exercises that reinforce your understanding of Python Data Structures and Algorithms. By applying what you learn immediately, you'll gain the confidence to tackle more complex coding challenges.Throughout the course, you will gain skills such as:Implementing Python lists, stacks, queues, linked lists, and treesWriting efficient search and sorting algorithmsSolving problems using recursion and dynamic programmingAnalyzing algorithm complexity and performancePreparing for coding interviews and competitive programmingBy the end of this course, you will be able to write clean, efficient, and scalable Python code using the right data structures and algorithms. You'll understand how to choose the appropriate tools for different programming challenges, giving you a strong foundation for advanced Python development or software engineering roles.This course is perfect for:Beginners looking to strengthen their Python coding skillsProgrammers preparing for coding interviewsStudents and professionals aiming to improve problem-solving efficiencyAnyone interested in mastering Python Data Structures and AlgorithmsEnroll now to gain mastery of Python Data Structures and Algorithms through clear explanations and practical examples that will prepare you for real-world programming challenges and technical interviews.
Who this course is for
Anyone interested in mastering Python Data Structures and Algorithms
Students and professionals aiming to improve problem-solving efficiency
Programmers preparing for coding interviews
Beginners looking to strengthen their Python coding skills
Complete Guide To Python Data Structures And Algorithms Course
Published 1/2026
Created by Logic Labs
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 32 Lectures ( 5h 14m ) | Size: 2.85 GB [/center]
Core Concepts of Python Data Structures and Algorithms Explained Clearly
What you'll learn
Overview of Data Structures and Algorithms
Importance of Data Structures and Algorithms in Programming
Basic Concepts: Time Complexity, Space Complexity, Big O Notation
Data Types and Data Structures in Python
Functions and Control Flow Structures
Introduction to Arrays and Lists
Array Operations: Accessing Elements, Insertion, Deletion
List Manipulation and Traversal
Operations on Linked Lists: Insertion, Deletion, Traversal
Analyzing the Efficiency of Linked List Operations
Introduction to Stacks and Queues
Implementing Stacks and Queues using Arrays and Linked Lists
Stack and Queue Operations - Push, Pop, Enqueue, Dequeue
Tree Traversal Algorithms: Inorder, Preorder, Postorder
Hashing Techniques: Separate Chaining, Open Addressing
Comparison-Based Sorting Algorithms: Bubble Sort, Selection Sort, Insertion Sort, Merge Sort, Quick Sort
Linear search
Binary search
Recursion and Recursive Algorithms
Dynamic Programming: Principles and Applications and more.....
Requirements
Basic programming logic and Python programming
Description
Unlock the power of Python Data Structures and Algorithms and take your programming skills to the next level. This course is designed for beginners, intermediate programmers, and anyone looking to master efficient coding techniques that are essential for software development, problem-solving, and technical interviews.You will begin by understanding the core concepts of Python Data Structures and Algorithms, including lists, stacks, queues, linked lists, trees, and graphs. Each concept is explained in a simple, practical way, allowing you to see how it works in real-world applications and why it matters for writing efficient code.The course then dives deeper into algorithms, covering essential topics such as searching, sorting, recursion, and dynamic programming. You'll learn how to analyze algorithm performance, optimize code, and solve problems faster using Python's powerful features.Practical hands-on coding is a key focus of this course. You'll work on real examples and exercises that reinforce your understanding of Python Data Structures and Algorithms. By applying what you learn immediately, you'll gain the confidence to tackle more complex coding challenges.Throughout the course, you will gain skills such as:Implementing Python lists, stacks, queues, linked lists, and treesWriting efficient search and sorting algorithmsSolving problems using recursion and dynamic programmingAnalyzing algorithm complexity and performancePreparing for coding interviews and competitive programmingBy the end of this course, you will be able to write clean, efficient, and scalable Python code using the right data structures and algorithms. You'll understand how to choose the appropriate tools for different programming challenges, giving you a strong foundation for advanced Python development or software engineering roles.This course is perfect for:Beginners looking to strengthen their Python coding skillsProgrammers preparing for coding interviewsStudents and professionals aiming to improve problem-solving efficiencyAnyone interested in mastering Python Data Structures and AlgorithmsEnroll now to gain mastery of Python Data Structures and Algorithms through clear explanations and practical examples that will prepare you for real-world programming challenges and technical interviews.
Who this course is for
Anyone interested in mastering Python Data Structures and Algorithms
Students and professionals aiming to improve problem-solving efficiency
Programmers preparing for coding interviews
Beginners looking to strengthen their Python coding skills
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