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Algorithms and Data Structures with Python

19 chapters and 88 canonical sections synced from the Cuantum content database.

Author
Cuantum Tech.
Chapters
19
Reading time
~ 18h
Level
Professional
Language
English
Edition
2025
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Chapters & sections

19 chapters - 88 sections
Chapter 01

Chapter 1: Python & Algorithms: An Introduction

0/6
11.1 Why algorithms and data structures?12m21.2 The Evolution of Programming12m31.3 The Synergy Between Python and Algorithms12m41.4 Python's Role in Algorithm Development12m5Chapter 1: Practical Exercises12m6Chapter 1: Summary12m
Chapter 02

Chapter 2: Diving into Python

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12.1 Python Syntax Essentials12m22.2 Data Types and Operators12m32.3 Control Structures and Functions12m5Chapter 2 Summary12m4Chapter 2: Practical Exercises12m
Chapter 03

Chapter 3: Elementary Data Containers

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13.1 Lists, Tuples, Sets, and Dictionaries12m23.2 OOP: Classes, Objects, and Encapsulation12m33.3 Stacks, Queues, and their Applications12m43.4 Linked Lists: Understanding Pointers and Nodes, and Their Applications12m6Chapter 3 Summary12m5Practical Exercises: Chapter 312m
Chapter 04

Quiz Part I: Python Foundations and Basic Data Structures

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2Answers12m1Questions12m
Chapter 05

Project 1: Basic Calculator

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11. Setting Up the Main Framework12m22. Implementing Arithmetic Functions12m33. Integrating Arithmetic Functions with Main Framework12m44. Enhancing User Experience12m55. Adding Advanced Arithmetic Functions12m66. Incorporating Advanced Functions12m77. Memory Functions12m88. Improving UI/UX12m
Chapter 06

Chapter 4: The Art of Sorting

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14.1 Basic Sorting Algorithms: Bubble, Selection, Insertion12m24.2 Advanced Sorting: Delving Deeper12m34.3 Time Complexity and Performance Analysis12m5Chapter 4 Summary12m4Practical Exercises: Chapter 412m
Chapter 07

Chapter 5: Search Operations & Efficiency

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15.1 Linear vs. Binary Search12m25.2 Introduction to Hashing and Its Efficiency12m35.3 Time Complexity and Big O Notation12m4Chapter 5 Summary12m5Practical Exercises: Chapter 512m
Chapter 08

Chapter 6: Trees and Graphs: Hierarchical Data Structures

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16.1 Trees: Types and Traversal Techniques12m26.2 Graphs: Representation and Basic Algorithms12m36.3 Hash Tables: Implementation and Collision Resolution12m5Chapter 6 Summary12m4Practical Exercises for Chapter 612m
Chapter 09

Quiz Part II: Sorting, Searching, and Hierarchical Structures

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2Answers12m1Questions12m
Chapter 10

Project 2: Contact Book Application

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1Adding Delete Functionality12m2Adding Search Functionality12m3Conclusion and Future Enhancements12m4Implementing the Basic Structure12m5Listing All Contacts12m
Chapter 11

Chapter 7: Mastering Algorithmic Techniques

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17.1 The Philosophy of Divide and Conquer12m27.2 Saving Time with Dynamic Programming12m37.3 The Greedy Approach and Backtracking12m5Chapter 7 Summary12m4Practical Exercises for Chapter 712m
Chapter 12

Chapter 8: Networks and Paths: Advanced Graph Algorithms

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18.1 Diving Deeper into Graph Theory12m28.2 Algorithms for Shortest Paths, Flows, and Connectivity12m38.3 Network Optimization and Advanced Graph Techniques12m5Chapter 8 Summary12m4Practical Exercises for Chapter 812m
Chapter 13

Quiz Part III: Advanced Algorithmic Techniques and Network Structures

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2Answers12m1Questions12m
Chapter 14

Project 3: Map-based Routing Application

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6Conclusion and Future Enhancements12m5Graphical Interface for Visualization (Optional)12m4Handling Real-World Map Data12m7Here's a summary of what we've accomplished12m2Implementing Dijkstra's Algorithm12m1Setting Up the Graph for the Map12m3User Interaction and Input Handling12m
Chapter 15

Chapter 9: Deciphering Strings and Patterns

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19.1 Basics of String Algorithms12m29.2 Pattern Searching, Tries, and Suffix Trees12m39.3 Advanced Pattern Matching and Text Analysis Techniques12m5Chapter 9 Summary12m4Practical Exercises for Chapter 912m
Chapter 16

Chapter 10: Venturing into Advanced Computational Problems

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110.1 Unraveling NP-hard and NP-complete Classes12m210.2 Approaches to Approximation and Randomized Algorithms12m310.3 Advanced Algorithms in Graph Theory and Network Analysis12m5Chapter 10 Summary12m4Practical Exercises for Chapter 1012m
Chapter 17

Chapter 11: From Theory to Practice. Case Studies & Optimizations

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111.1 Case Studies: Real-world Algorithmic Solutions12m211.2 Python Performance Considerations and Enhancements12m4Chapter 11 Summary12m3Practical Exercises for Chapter 1112m
Chapter 18

Quiz Part IV: String Manipulation, Advanced Concepts, and Practical Applications

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2Answers12m1Questions12m
Chapter 19

Project 4: Plagiarism Detection System

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1Building the Foundation: Text Preprocessing and Similarity Measurement12m4Conclusion and Future Directions12m2Handling Larger Documents and Paragraph-Level Analysis12m3Incorporating Advanced Text Analysis Techniques12m