2024 Data Structures Using Python
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- Curriculum
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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:
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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.
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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.
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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.
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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!!
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1VariablesVideo lesson
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2Conditionals & If statementVideo lesson
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3If statement exampleVideo lesson
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4If else statementVideo lesson
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5Example for If else statementVideo lesson
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6Elif StatementVideo lesson
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7Example for Elif StatementVideo lesson
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8Nested if statementVideo lesson
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9Example for Nested if statementVideo lesson
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10While loopVideo lesson
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11While loop to count the digits in a given numberVideo lesson
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12While loop to display multiplication tableVideo lesson
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13For loopVideo lesson
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14Displaying numbers using for loopVideo lesson
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15Break and Continue statementVideo lesson
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16Finding Sum of first 10 numbersVideo lesson
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17Finding Sum of digits in a given numberVideo lesson
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18DefinitionVideo lesson
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19Creating and Displaying 1D ArraysVideo lesson
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20Accessing 1D ArraysVideo lesson
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21Searching in 1D ArraysVideo lesson
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22Insertion in 1D ArraysVideo lesson
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23Deletion in 1D ArraysVideo lesson
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24Updating in 1D ArraysVideo lesson
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25Accessing 2D ArraysVideo lesson
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26Insertion Operation in 2D ArraysVideo lesson
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27Deletion Operation in 2D ArraysVideo lesson
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28Update Operation in 2D ArraysVideo lesson
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29Accessing Elements & Searching Element in a ListVideo lesson
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30Working with Operators on ListsVideo lesson
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31Indexing and Slicing in ListsVideo lesson
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32Working with List MethodsVideo lesson
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33List ComprehensionVideo lesson
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34Finding Maximum and Minimum Element in a ListVideo lesson
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35TuplesVideo lesson
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36Tuple Indexing and SlicingVideo lesson
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37Manipulating TuplesVideo lesson
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38Unpacking TuplesVideo lesson
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39Basics of DictionaryVideo lesson
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40Accessing dictionary elementsVideo lesson
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41Working with dictionaryVideo lesson
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42Understanding Sets in PythonVideo lesson
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48Basics of Linked listsVideo lesson
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49Inserting an Element in a Linked ListVideo lesson
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50Searching an Element in a Linked ListVideo lesson
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51Finding Middle Element in a Linked ListVideo lesson
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52Checking whether two given Linked Lists are Identical or not ?Video lesson
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53Finding maximum value in a Linked listVideo lesson
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54Deleting the Linked ListVideo lesson
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55Understanding StacksVideo lesson
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56Implementing Stacks in PythonVideo lesson
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57Implementing Stacks Using Lists with built-in methods in PythonVideo lesson
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58Implementing Stacks Using Collections-dequeue in PythonVideo lesson
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59Implementing Stacks Using Queue-Lifo Queue in PythonVideo lesson
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60Linked List Implementation of Stacks in PythonVideo lesson
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61Stack Application: Balanced ParenthesisVideo lesson
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62Using Stacks for Checking Balanced ParenthesisVideo lesson
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63Understanding QueuesVideo lesson
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64Implementing Queues Using Lists with built-in methods in PythonVideo lesson
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65Implementing Queues Using Collections-dequeue in PythonVideo lesson
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66Implementing Queues using queue module in PythonVideo lesson
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67Implementing Queues Using LinkedListsVideo lesson
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68Circular QueuesVideo lesson
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69Tree TerminologyVideo lesson
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70Defining Binary Tree and Complete Binary TreeVideo lesson
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71Representation of a Binary TreeVideo lesson
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72Binary Tree TraversalsVideo lesson
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73How to Implement Inorder Traversal in Python ?Video lesson
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74How to Implement Pre-order Traversal in Python ?Video lesson
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75How to Implement Post-order Traversal in Python ?Video lesson
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76How to Implement Height of a Binary Tree in Python ?Video lesson
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77Sum of Elements in a Binary TreeVideo lesson
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