Linked List Data Structure using Python from Udemy

If you have started using Python, by now you must have come to know the simplicity of the language.

This course is designed to help you get more comfortable with programming in Python. It covers completely, the concept of linked list using Python as the primary language.

Along with their Python implementation, you will learn the essence of linked list by understanding the different types of linked lists such as

Singly Linked List
Doubly Linked List
Circular Linked List

You need to be equipped with the basics of Python such as variables, lists, dictionary and so on.

You also need to be familiar with object oriented programming in Python such as classes and objects, inheritance, etc.

This course will teach you:

How a linked list differs from the built-in list type of Python
The concept of linked list is explained from scratch and then you will move on to creating your own linked list in Python
Different cases of insertions and deletions in a linked list will be covered. For each of such case, we will write programs in Python
You will find sections on brain teasers to get you thinking. The problem statement will be given for which you will first understand the logic and then write a solution in Python to improve your logical thinking.

You are comfortable with the basics of Python. Why not leverage your Python skills by hitting the enrol button? I hope to see you on the inside.

What's inside

Learning objectives

Have a good understanding on linked list
Be able to write your own linked lists in python
Understand different types of linked lists such as singly linked list, doubly linked list and circular linked list

Get better at problem solving in python
Leverage your python programming skills

Have a good understanding on linked list
Be able to write your own linked lists in python
Understand different types of linked lists such as singly linked list, doubly linked list and circular linked list
Get better at problem solving in python
Leverage your python programming skills

Syllabus

Introduction and Course Structure

Installation of Python (if you haven't already)

Installation for Windows

Installation for Mac

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Explores singly, doubly, and circular linked lists, which are fundamental data structures used in a variety of algorithms and software applications

Teaches linked list implementations from scratch, which helps learners develop a deeper understanding of data structures beyond Python's built-in lists

Includes brain teasers and problem statements, which helps learners improve their logical thinking and problem-solving skills in Python

Requires familiarity with object-oriented programming concepts in Python, such as classes, objects, and inheritance, which may be a barrier for some beginners

Covers common linked list operations like insertion, deletion, cycle detection, swapping, sorting, and duplicate removal, which are essential for practical application

Installation instructions are provided for Windows, Mac, and Linux, which may be helpful for learners who are new to Python development environments

Reviews summary

Linked list data structures in python

According to students, this course offers a clear and concise understanding of the linked list data structure using Python. Many reviewers found the Python implementation and coding examples to be particularly helpful for grasping the concepts. Learners appreciated the coverage of different types, including Singly, Doubly, and Circular Linked Lists. The inclusion of brain teasers and problem-solving sections is frequently highlighted as a strong positive, aiding in solidifying knowledge and developing practical skills. The course is widely regarded as providing a solid foundation for further study in data structures. While a small number of reviews mentioned potential areas for refinement, such as code optimization or pacing, the overall feedback indicates a largely positive experience.

Includes Singly, Doubly, and Circular lists.

"It covers Singly, Doubly, and Circular Linked Lists in depth with Python implementation."

"Explains the concept of all three linked lists clearly: singly, doubly and circular."

"Singly, doubly, and circular linked lists covered with good detail and examples."

Provides a solid base for data structures.

"This course provides a very good foundation on linked lists."

"good for understanding fundamentals and theory behind linked lists."

"Overall a good foundation in data structures using Python for beginners."

Brain teasers strengthen logical thinking.

"brain teasers given at the end of every linked list concepts were very helpful."

"The Brain teasers section was very helpful and helped improve my logical thinking."

"I loved the brain teaser sections... I was challenged in a good way."

"The problem-solving parts really made me think and apply what I learned."

Concepts are explained clearly with Python code.

"Excellent course on linked list with crystal clear explanations and Python code examples."

"explanations were clear enough to grasp and implementation was easy to understand."

"The way sir taught with the diagrams made the concepts so clear to me."

"The code implementation for all different cases was clear and easy to understand."

One review reported issues without detail.

"I could not get things work correctly with this course..."

"...and the Instructor does not respond properly to comments."

"I do not recommend this course."

Some reviewers note areas for potential refinement.

"Code implementation could have been better like explaining time and space complexity."

"Some implementations could be more efficient."

"Repetitive at times and code examples were not always the best or explained thoroughly."

"I felt the course could have moved a bit faster in places."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Linked List Data Structure using Python with these activities:

Review Python Fundamentals

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Reinforce your understanding of Python basics, including data types, lists, and dictionaries, which are essential for implementing linked lists.

Browse courses on Python Basics

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Review Python syntax and data structures.
Practice writing simple Python programs.

Brush up on Object-Oriented Programming (OOP) in Python

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Strengthen your OOP skills in Python, focusing on classes, objects, and inheritance, as linked list implementations heavily rely on these concepts.

Show steps

Review the principles of object-oriented programming.
Practice creating classes and objects in Python.
Experiment with inheritance and polymorphism.

Review 'Data Structures and Algorithms in Python'

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Study this book to gain a deeper understanding of data structures and algorithms, including linked lists, and to see Python implementations.

View Data Structures and Algorithms in Java 6th... on Amazon

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Read the chapters on linked lists and related data structures.
Work through the examples and exercises in the book.

Four other activities

Expand to see all activities and additional details

Show all seven activities

Implement Basic Linked List Operations

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Practice implementing basic linked list operations like insertion, deletion, and traversal to solidify your understanding of the data structure.

Show steps

Implement insertion at the head, tail, and middle of a linked list.
Implement deletion of nodes from the head, tail, and middle.
Implement a function to traverse and print the linked list.

Create a Visual Guide to Linked Lists

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Create a visual guide (e.g., infographic, presentation) explaining the different types of linked lists and their operations to reinforce your understanding and help others learn.

Show steps

Research and gather information on linked lists.
Design the layout and structure of the visual guide.
Create visuals to illustrate linked list concepts.
Write clear and concise explanations.

Explore Advanced Linked List Techniques

Show steps

Follow tutorials on advanced linked list techniques like reversing a linked list, detecting cycles, and merging sorted lists to deepen your knowledge.

Show steps

Find tutorials on reversing a linked list.
Find tutorials on detecting cycles in a linked list.
Find tutorials on merging two sorted linked lists.

Build a Playlist Manager with Linked Lists

Show steps

Develop a playlist manager application using linked lists to manage songs, allowing you to add, remove, and reorder tracks.

Show steps

Design the structure of the playlist manager.
Implement the linked list to store songs.
Implement functions to add, remove, and reorder songs.
Create a user interface to interact with the playlist manager.

Career center

Learners who complete Linked List Data Structure using Python will develop knowledge and skills that may be useful to these careers:

Software Engineer

A software engineer designs, develops, and tests software applications. This course on linked lists using Python is helpful to building data structures, which are a fundamental building block in software development. Software engineers frequently use a variety of data structures and algorithms to solve a range of computational problems. This course introduces core concepts such as singly, doubly, and circular linked lists, equipping you with practical skills in Python. This course may be particularly useful to improve your logical thinking. One should take this course to improve their grasp of linked lists, which are crucial for efficiently managing and manipulating data within software systems.

See salaries and explore the career path for Software Engineer

Algorithm Developer

Algorithm developers design and implement algorithms for various applications, such as search engines, data analysis, and artificial intelligence. A deep understanding of data structures is essential for this role, making this course extremely helpful. This course on linked lists using Python can help one to implement efficient and optimized algorithms. Algorithm developers need to be able to analyze the performance characteristics of different data structures and choose the right one for a given task. This course may be particularly useful for understanding the trade-offs between different types of linked lists. One should take this course to master linked list implementations in Python.

See salaries and explore the career path for Algorithm Developer

Data Engineer

Data engineers build and maintain the infrastructure that allows data to be used effectively within an organization. As a data engineer, understanding data structures, such as linked lists, is useful for optimizing data storage and retrieval processes. This course on linked lists using Python helps build a solid foundation in this area. Data engineers often need to implement custom data structures or modify existing ones to meet specific performance requirements. This course may assist with learning to create, insert, delete, and manipulate nodes in linked lists using Python and may be particularly useful to improve your logical thinking. Taking this course is a practical way to improve your data engineering abilities.

See salaries and explore the career path for Data Engineer

Backend Developer

Backend developers are responsible for the server side logic and databases that power web applications. As a backend developer, you will frequently work with data structures to manage and process data efficiently. This course on linked lists using Python may be helpful because it introduces essential data structures, such as singly, doubly, and circular linked lists, equipping you with practical skills in Python. Backend developers need to design and implement efficient data storage and retrieval mechanisms that can handle large amounts of data. This course may be particularly useful for learning different cases of insertions and deletions in linked lists. This course is a great way to improve your backend development capabilities.

See salaries and explore the career path for Backend Developer

Full-Stack Developer

Full stack developers work on both the front end and back end of web applications. This course on linked lists using Python may be useful in terms of their work in the backend. Full stack developers are required to have a broad understanding of data structures and algorithms. This course introduces linked lists, a fundamental data structure. Full stack Developers must have the capability to solve problems using various data structures and algorithms. This course may be particularly useful to improve your logical thinking. This course can improve your overall problem solving skills.

See salaries and explore the career path for Full-Stack Developer

Software Development Engineer in Test

A software development engineer in test designs and implements tests to ensure software quality. As a software development engineer in test, you will need to understand data structures, such as linked lists, to effectively test software systems. This course can help you create comprehensive test cases to verify the correctness and performance of linked list implementations. As a software development engineer in test, you might deal with singly, doubly, and circular linked lists, equipping you with practical skills in Python. This course may be particularly useful to improve your logical thinking. Taking this course is a way to improve your testing abilities.

See salaries and explore the career path for Software Development Engineer in Test

Data Scientist

Data scientists analyze and interpret complex data to extract insights and inform decision making. While data scientists work with structured data, understanding fundamental data structures like linked lists may be helpful in working with unstructured or semi structured data, or when building custom data processing pipelines. This course may teach you to manage and manipulate data using Python. This course may be particularly useful to improve your logical thinking, which is essential in data science. Taking this course is a way to improve your data science abilities.

See salaries and explore the career path for Data Scientist

Machine Learning Engineer

Machine learning engineers develop and deploy machine learning models. While this role focuses more on algorithms and model building, this course on linked lists using Python may be helpful for understanding data structures and for improving problem solving skills. Machine learning engineers need to optimize data processing and feature engineering pipelines. A course may be particularly useful to improve your logical thinking. Taking this course is a way to potentially broaden your skills as a machine learning engineer.

See salaries and explore the career path for Machine Learning Engineer

Solutions Architect

A solutions architect designs and implements technology solutions to meet business needs. As a solutions architect, understanding different data structures, such as linked lists, is useful for designing efficient and scalable systems. This course on linked lists using Python helps build a solid foundation in this area. Solutions architects often need to make decisions about which data structures to use in different parts of a system. This course may assist with learning to create, insert, delete, and manipulate nodes in linked lists using Python and may be particularly useful to improve your logical thinking. Taking this course is a practical way to improve your solutions architecture abilities.

See salaries and explore the career path for Solutions Architect

IT Consultant

An IT consultant provides expert advice and guidance to organizations on how to use technology to meet their business goals. This course on linked lists using Python helps the IT consultant communicate effectively with those on the team knowledgeable about data structures. This course will help the IT consultant to have a solid grasp on different data structures to guide their team. This course may be particularly useful to improve your logical thinking. Taking this course is a way to augment your skills as an IT consultant.

See salaries and explore the career path for IT Consultant

Site Reliability Engineer

A site reliability engineer ensures the reliability and performance of software systems. Understanding data structures, such as linked lists, helps in troubleshooting and optimizing system performance. Knowledge of foundational data structures allows for the development of tools and scripts that effectively manage system resources. This course introduces essential concepts such as singly, doubly, and circular linked lists, equipping you with practical skills in Python. This course may be particularly useful to improve your logical thinking. Taking this course can improve your site reliability engineering insight.

See salaries and explore the career path for Site Reliability Engineer

Database Administrator

Database administrators are responsible for managing and maintaining databases. While this role primarily involves working with relational databases, this course on linked lists using Python may be useful for understanding data structures and for improving problem solving skills. Database administrators need to ensure data integrity and optimize database performance. This course may be particularly useful to improve your logical thinking. Taking this course is a way to augment your skills as a database administrator.

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Technology Trainer

A technology trainer educates individuals or groups in technology use. This course on linked lists using Python helps the technology trainer communicate effectively with those who wish to learn more about data structures. This course will help the technology trainer to have a solid grasp on different data structures to better serve learners. This course may be particularly useful to improve your logical thinking. Taking this course is a way to augment your skills as a technology trainer.

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Quantitative Analyst

Quantitative analysts, often working in finance, develop and implement mathematical models for pricing securities, managing risk, and identifying trading opportunities. Some quantitative analysts work with financial data that is stored using data structures. This course on linked lists using Python may be helpful for understanding data structures and for improving problem solving skills. This course may be particularly useful to improve your logical thinking. Taking this course is a way to possibly broaden your quantitative analysis skills.

See salaries and explore the career path for Quantitative Analyst

Technical Lead

A technical lead oversees a team of developers and ensures projects are completed efficiently. This course on linked lists using Python helps the technical lead communicate effectively with those on the team knowledgeable about data structures. This course will help to have a solid grasp on different data structures to guide your team. This course may be particularly useful to improve your logical thinking. Taking this course is a way to augment your skills as a technical lead.

See salaries and explore the career path for Technical Lead

Reading list

We've selected one books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Linked List Data Structure using Python.

Data Structures and Algorithms in Java, 6th Edition

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Provides a comprehensive introduction to data structures and algorithms, with a strong focus on Python implementations. It covers linked lists in detail, along with other fundamental data structures, making it an excellent resource for expanding your knowledge beyond the course's specific focus. It's often used as a textbook in university courses.

Data Structures and Algorithms in Java 6th Edition...

Paperback

$$$

Data Structures and Algorithms in Java, 6th Edition

Kindle Edition

$$$

Linked List Data Structure using Python

What's inside

Learning objectives

Syllabus

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Reviews summary

Linked list data structures in python

Activities

Career center

Reading list

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