Workspace

Dashboard Library Academies Learning Paths

Study

Your annotations Practice AI TutorBeta

Account

Access & Billing Account

GLGuest learnerSign in

Lesson reader

Algorithms and Data Structures with Python

01Python & Algorithms: An Introduction0/6

11.1 Why algorithms and data structures?21.2 The Evolution of Programming 31.3 The Synergy Between Python and Algorithms 41.4 Python's Role in Algorithm Development 5Chapter 1: Practical Exercises 6Chapter 1: Summary

02Diving into Python0/5

12.1 Python Syntax Essentials 22.2 Data Types and Operators 32.3 Control Structures and Functions 5Chapter 2 Summary 4Chapter 2: Practical Exercises

03Elementary Data Containers0/6

13.1 Lists, Tuples, Sets, and Dictionaries 23.2 OOP: Classes, Objects, and Encapsulation 33.3 Stacks, Queues, and their Applications 43.4 Linked Lists: Understanding Pointers and Nodes, and Their Applications 6Chapter 3 Summary 5Practical Exercises: Chapter 3

04Quiz Part I: Python Foundations and Basic Data Structures0/2

2Answers 1Questions

05Project 1: Basic Calculator0/8

11. Setting Up the Main Framework 22. Implementing Arithmetic Functions 33. Integrating Arithmetic Functions with Main Framework 44. Enhancing User Experience 55. Adding Advanced Arithmetic Functions 66. Incorporating Advanced Functions 77. Memory Functions 88. Improving UI/UX

06The Art of Sorting0/5

14.1 Basic Sorting Algorithms: Bubble, Selection, Insertion 24.2 Advanced Sorting: Delving Deeper 34.3 Time Complexity and Performance Analysis 5Chapter 4 Summary 4Practical Exercises: Chapter 4

07Search Operations & Efficiency0/5

15.1 Linear vs. Binary Search 25.2 Introduction to Hashing and Its Efficiency 35.3 Time Complexity and Big O Notation 4Chapter 5 Summary 5Practical Exercises: Chapter 5

08Trees and Graphs: Hierarchical Data Structures0/5

16.1 Trees: Types and Traversal Techniques 26.2 Graphs: Representation and Basic Algorithms 36.3 Hash Tables: Implementation and Collision Resolution 5Chapter 6 Summary 4Practical Exercises for Chapter 6

09Quiz Part II: Sorting, Searching, and Hierarchical Structures0/2

2Answers 1Questions

10Project 2: Contact Book Application0/5

1Adding Delete Functionality 2Adding Search Functionality 3Conclusion and Future Enhancements 4Implementing the Basic Structure 5Listing All Contacts

11Mastering Algorithmic Techniques0/5

17.1 The Philosophy of Divide and Conquer 27.2 Saving Time with Dynamic Programming 37.3 The Greedy Approach and Backtracking 5Chapter 7 Summary 4Practical Exercises for Chapter 7

12Networks and Paths: Advanced Graph Algorithms0/5

18.1 Diving Deeper into Graph Theory 28.2 Algorithms for Shortest Paths, Flows, and Connectivity 38.3 Network Optimization and Advanced Graph Techniques 5Chapter 8 Summary 4Practical Exercises for Chapter 8

13Quiz Part III: Advanced Algorithmic Techniques and Network Structures0/2

2Answers 1Questions

14Project 3: Map-based Routing Application0/7

6Conclusion and Future Enhancements 5Graphical Interface for Visualization (Optional)4Handling Real-World Map Data 7Here's a summary of what we've accomplished 2Implementing Dijkstra's Algorithm 1Setting Up the Graph for the Map 3User Interaction and Input Handling

15Deciphering Strings and Patterns0/5

19.1 Basics of String Algorithms 29.2 Pattern Searching, Tries, and Suffix Trees 39.3 Advanced Pattern Matching and Text Analysis Techniques 5Chapter 9 Summary 4Practical Exercises for Chapter 9

16Venturing into Advanced Computational Problems0/5

110.1 Unraveling NP-hard and NP-complete Classes 210.2 Approaches to Approximation and Randomized Algorithms 310.3 Advanced Algorithms in Graph Theory and Network Analysis 5Chapter 10 Summary 4Practical Exercises for Chapter 10

17From Theory to Practice. Case Studies & Optimizations0/4

111.1 Case Studies: Real-world Algorithmic Solutions 211.2 Python Performance Considerations and Enhancements 4Chapter 11 Summary 3Practical Exercises for Chapter 11

18Quiz Part IV: String Manipulation, Advanced Concepts, and Practical Applications0/2

2Answers 1Questions

19Project 4: Plagiarism Detection System0/4

1Building the Foundation: Text Preprocessing and Similarity Measurement 4Conclusion and Future Directions 2Handling Larger Documents and Paragraph-Level Analysis 3Incorporating Advanced Text Analysis Techniques

Algorithms and Data Structures with PythonChapter 92

Answers

Section 1 of 2-~ 12 min read-Synced from Cuantum content

b

b

c

b

c

b

b

c

d

b