Master Data Structures in Python: Unlock the Power of Efficient Programming!
Note: Course Free for limited time and limited users(500 limit) so Enroll ASAP. If not free it means you are late. Scroll Down and click Enroll Now button to get enrolled
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Apply Coupon Code: 3ED24086D548BAA546A2
What you’ll learn
- Beginner programmers: Those who have a basic understanding of Python and programming concepts but want to enhance their knowledge of data structures.
- Intermediate programmers: Individuals who are familiar with Python and have some experience with data structures but want to strengthen their understanding
- Computer science students: Students studying computer science or related fields who need to learn about data structures as part of their curriculum.
- Software developers: Professionals working in the software development industry who want to improve their understanding of data structures
- Self-learners: Individuals with a strong interest in programming and data structures who are motivated to learn on their own
Explore related topics
This course includes:
- 8 hours on-demand video
- 5 coding exercises
- 2 downloadable resources
- Access on mobile and TV
- Full lifetime access
- Certificate of completion
Coding Exercises
This course includes our updated coding exercises so you can practice your skills as you learn.
Course content
12 sections • 85 lectures • 7h 59m total length
- Variables
- Conditionals & If statement
- If statement example
- If else statement
- Example for If else statement
- Elif Statement
- Example for Elif Statement
- Nested if statement
- Example for Nested if statement
- While loop
- While loop to count the digits in a given number
- While loop to display multiplication table
- For loop
- Displaying numbers using for loop
- Break and Continue statement
- Finding Sum of first 10 numbers
- Finding Sum of digits in a given number
- 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
- Accessing Elements & Searching Element in a List
- Working with Operators on Lists
- Indexing and Slicing in Lists
- Working with List Methods
- 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
- Functions in python
- Example program1 on functions
- Example program2 on functions
- Example program3 on functions
- Recursion
- 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
- 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-Lifo Queue in Python
- Linked List Implementation of Stacks in Python
- Stack Application: Balanced Parenthesis
- Using Stacks for Checking Balanced Parenthesis
- 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
- 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
- Definition of BST with Example
- Search operation in BST
- Inserting a node in BST
- Creating a BST
- Basics of graphs
- Adjacency Matrix Representation
- Adjacency List Representation
- Problem Statement on Arrays/Lists
- Problem Statement on Linked Lists
- Problem Statement on Stacks
- Problem Statement on Binary Tree Using Queue
- Problem Statement on Trees and BST
- Bonus Lecture
- Basic programming knowledge: It is typically expected that learners have a basic understanding of programming concepts and have some experience with Python programming language. This includes knowledge of variables, data types, loops, conditionals, and basic functions.
- Familiarity with Python syntax: Learners should be comfortable with the syntax and basic usage of Python programming language, including knowledge of functions, modules, and libraries.
Description
Master Data Structures in Python: Unlock the Power of Efficient Programming!
Welcome to the most comprehensive and highly rated data structures course on Udemy! If you’re a student searching for a data structures course that will truly elevate your programming skills, look no further. This course is designed to provide you with the knowledge and expertise you need to excel in the world of data structures and algorithmic problem-solving.
In this course, we leave no stone unturned as we delve deep into the core concepts and practical implementations of essential data structures. From arrays and linked lists to stacks, queues, trees, and graphs, you’ll gain a solid foundation in each data structure and learn how to leverage their unique properties for optimal efficiency.
What sets this course apart? It’s simple. Our focus is on practicality and real-world applications. We understand that theory alone isn’t enough to excel as a programmer. That’s why we provide numerous hands-on coding exercises and projects that will put your newfound knowledge to the test. By solving real-world coding challenges, you’ll sharpen your problem-solving skills and develop the confidence to tackle complex programming tasks.
Here’s what you can expect from this course:
- Comprehensive Coverage: We leave no stone unturned as we explore a wide range of data structures, including arrays, linked lists, stacks, queues, trees, and graphs. You’ll learn the intricacies of each structure and gain a deep understanding of their strengths and weaknesses.
- Hands-On Practice: Theory is important, but practice is crucial. Throughout the course, you’ll find an abundance of coding exercises and projects that will help solidify your understanding and hone your programming skills.
- Real-World Applications: Data structures are not abstract concepts—they are tools that can solve real-world problems. We provide real-life examples and demonstrate how to apply each data structure to practical scenarios, ensuring that you can bridge the gap between theory and practice.
- Expert Guidance: As an experienced instructor with a passion for teaching, I’ll guide you through every step of your learning journey. You can count on my support as you progress through the course, ensuring that you have a rich and rewarding learning experience.
By the end of this course, you’ll possess a deep understanding of data structures, algorithms, and their practical implementations. Armed with this knowledge, you’ll be well-equipped to tackle coding interviews, develop efficient software solutions, and excel in any programming challenge that comes your way.
Don’t miss out on the opportunity to become a Master of Data structures in Python. Enroll now, and let’s embark on this exciting journey together!
Happy Coding!!
Who this course is for:
- Beginner programmers
- Intermediate programmers
- Computer science students
- Software developers
- Self-learners
Note: The course is free for a limited time and limited to 500 users. Enroll as soon as possible. If it is no longer free, it means you are late, and it has already exceeded its limits.
🎫 After adding the course into Cart at Checkout page, Apply Coupon Code➛. 3ED24086D548BAA546A2 Note:- After applying coupon, if it says ”This coupon has exceeded its maximum possible redemptions…”, then it means you’re Late, and first 500 coupons already redeemed.
