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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
~ 11h
Level
Professional
Language
English
Edition
2025
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Chapters & sections

19 chapters - 88 sections

Chapter 1: Python & Algorithms: An Introduction

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1.1 Why algorithms and data structures?13m1.2 The Evolution of Programming14m1.3 The Synergy Between Python and Algorithms13m1.4 Python's Role in Algorithm Development11mChapter 1: Practical Exercises4mChapter 1: Summary3m

Chapter 2: Diving into Python

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2.1 Python Syntax Essentials14m2.2 Data Types and Operators15m2.3 Control Structures and Functions12mChapter 2: Practical Exercises3mChapter 2 Summary3m

Chapter 3: Elementary Data Containers

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3.1 Lists, Tuples, Sets, and Dictionaries15m3.2 OOP: Classes, Objects, and Encapsulation14m3.3 Stacks, Queues, and their Applications14m3.4 Linked Lists: Understanding Pointers and Nodes, and Their Applications18mPractical Exercises: Chapter 33mChapter 3 Summary3m

Quiz Part I: Python Foundations and Basic Data Structures

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Questions2mAnswers1m

Project 1: Basic Calculator

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1. Setting Up the Main Framework4m2. Implementing Arithmetic Functions1m3. Integrating Arithmetic Functions with Main Framework1m4. Enhancing User Experience2m5. Adding Advanced Arithmetic Functions1m6. Incorporating Advanced Functions2m7. Memory Functions1m8. Improving UI/UX1m

Chapter 4: The Art of Sorting

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4.1 Basic Sorting Algorithms: Bubble, Selection, Insertion15m4.2 Advanced Sorting: Delving Deeper14m4.3 Time Complexity and Performance Analysis12mPractical Exercises: Chapter 44mChapter 4 Summary4m

Chapter 5: Search Operations & Efficiency

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5.1 Linear vs. Binary Search16m5.2 Introduction to Hashing and Its Efficiency22m5.3 Time Complexity and Big O Notation19mChapter 5 Summary4mPractical Exercises: Chapter 53m

Chapter 6: Trees and Graphs: Hierarchical Data Structures

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6.1 Trees: Types and Traversal Techniques16m6.2 Graphs: Representation and Basic Algorithms16m6.3 Hash Tables: Implementation and Collision Resolution16mPractical Exercises for Chapter 65mChapter 6 Summary3m

Quiz Part II: Sorting, Searching, and Hierarchical Structures

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Questions2mAnswers1m

Project 2: Contact Book Application

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Adding Delete Functionality2mAdding Search Functionality2mConclusion and Future Enhancements1mImplementing the Basic Structure4mListing All Contacts1m

Chapter 7: Mastering Algorithmic Techniques

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7.1 The Philosophy of Divide and Conquer12m7.2 Saving Time with Dynamic Programming13m7.3 The Greedy Approach and Backtracking17mPractical Exercises for Chapter 73mChapter 7 Summary4m

Chapter 8: Networks and Paths: Advanced Graph Algorithms

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8.1 Diving Deeper into Graph Theory17m8.2 Algorithms for Shortest Paths, Flows, and Connectivity16m8.3 Network Optimization and Advanced Graph Techniques16mPractical Exercises for Chapter 84mChapter 8 Summary4m

Quiz Part III: Advanced Algorithmic Techniques and Network Structures

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Questions3mAnswers1m

Project 3: Map-based Routing Application

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Setting Up the Graph for the Map3mImplementing Dijkstra's Algorithm2mUser Interaction and Input Handling1mHandling Real-World Map Data1mGraphical Interface for Visualization (Optional)1mConclusion and Future Enhancements1mHere's a summary of what we've accomplished2m

Chapter 9: Deciphering Strings and Patterns

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9.1 Basics of String Algorithms22m9.2 Pattern Searching, Tries, and Suffix Trees20m9.3 Advanced Pattern Matching and Text Analysis Techniques20mPractical Exercises for Chapter 93mChapter 9 Summary4m

Chapter 10: Venturing into Advanced Computational Problems

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10.1 Unraveling NP-hard and NP-complete Classes13m10.2 Approaches to Approximation and Randomized Algorithms14m10.3 Advanced Algorithms in Graph Theory and Network Analysis19mPractical Exercises for Chapter 104mChapter 10 Summary4m

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

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11.1 Case Studies: Real-world Algorithmic Solutions16m11.2 Python Performance Considerations and Enhancements14mPractical Exercises for Chapter 114mChapter 11 Summary4m

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

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Questions3mAnswers1m

Project 4: Plagiarism Detection System

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Building the Foundation: Text Preprocessing and Similarity Measurement4mHandling Larger Documents and Paragraph-Level Analysis2mIncorporating Advanced Text Analysis Techniques1mConclusion and Future Directions1m