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Home> Data> Data Science> Algorithms and Data Structures with Python
Algorithms and Data Structures with Python
Algorithms and Data Structures with Python

Algorithms and Data Structures with Python: A comprehensive guide to data structures & algorithms via an interactive learning experience

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Profile Icon Cuantum Technologies LLC
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$34.99
eBookJun 2024488 pages1st Edition
eBook
$34.99
Arrow left icon
Profile Icon Cuantum Technologies LLC
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$34.99
eBookJun 2024488 pages1st Edition
eBook
$34.99
eBook
$34.99

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Key benefits

  • Comprehensive introduction to Python programming and algorithms
  • Detailed exploration of data structures and sorting/searching techniques
  • Advanced topics including graph algorithms and computational problem-solving

Description

Begin your journey with an introduction to Python and algorithms, laying the groundwork for more complex topics. You will start with the basics of Python programming, ensuring a solid foundation before diving into more advanced and sophisticated concepts. As you progress, you'll explore elementary data containers, gaining an understanding of their role in algorithm development.Midway through the course, you’ll delve into the art of sorting and searching, mastering techniques that are crucial for efficient data handling. You will then venture into hierarchical data structures, such as trees and graphs, which are essential for understanding complex data relationships. By mastering algorithmic techniques, you’ll learn how to implement solutions for a variety of computational challenges.The latter part of the course focuses on advanced topics, including network algorithms, string and pattern deciphering, and advanced computational problems. You'll apply your knowledge through practical case studies and optimizations, bridging the gap between theoretical concepts and real-world applications. This comprehensive approach ensures you are well-prepared to handle any programming challenge with confidence.

Who is this book for?

This course is designed for a diverse group of learners, including technical professionals, software developers, computer science students, and data enthusiasts. It caters to individuals who have a basic understanding of programming and are eager to deepen their knowledge of Python and algorithms. Whether you're a recent graduate, or an experienced developer looking to expand your skill set, this course is tailored to meet the needs of all types of audiences. Ideal for those aiming to strengthen their algorithmic thinking and improve their coding efficiency.

What you will learn

  • Master sorting and searching algorithms
  • Implement hierarchical data structures like trees and graphs
  • Apply advanced algorithmic techniques to solve complex problems
  • Optimize code for efficiency and performance
  • Understand and implement advanced graph algorithms
  • Translate theoretical concepts into practical, real-world solutions

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date :Jun 12, 2024
Original Publication date :Nov 01, 2023
Length:488 pages
Edition :1st
Language :English
ISBN-13 :9781836208549
Category :
Languages :
Concepts :
Tools :

What do you get with eBook?

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Product Details

Publication date :Jun 12, 2024
Original Publication date :Nov 01, 2023
Length:488 pages
Edition :1st
Language :English
ISBN-13 :9781836208549
Category :
Languages :
Concepts :
Tools :

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Table of Contents

25 Chapters
Code Blocks ResourceChevron down iconChevron up icon
Code Blocks Resource
Premium Customer SupportChevron down iconChevron up icon
Premium Customer Support
Who we areChevron down iconChevron up icon
Who we are
Our Philosophy
Our Expertise
IntroductionChevron down iconChevron up icon
Introduction
Chapter 1: Python & Algorithms: An IntroductionChevron down iconChevron up icon
Chapter 1: Python & Algorithms: An Introduction
1.1 Why algorithms and data structures?
1.2 The Evolution of Programming
1.3 The Synergy Between Python and Algorithms
1.4 Python's Role in Algorithm Development
Chapter 1: Practical Exercises
Chapter 1 Summary
Chapter 2: Diving into PythonChevron down iconChevron up icon
Chapter 2: Diving into Python
2.1 Python Syntax Essentials
2.2 Data Types and Operators
2.3 Control Structures and Functions
Chapter 2 Practical Exercises
Chapter 2 Summary
Chapter 3: Elementary Data ContainersChevron down iconChevron up icon
Chapter 3: Elementary Data Containers
3.1 Lists, Tuples, Sets, and Dictionaries
3.2 OOP: Classes, Objects, and Encapsulation
3.3 Stacks, Queues, and their Applications
3.4 Linked Lists: Understanding Pointers and Nodes, and Their Applications
Practical Exercises: Chapter 3
Chapter 3 Summary
Quiz Part I: Python Foundations and Basic Data StructuresChevron down iconChevron up icon
Quiz Part I: Python Foundations and Basic Data Structures
Project 1: Basic CalculatorChevron down iconChevron up icon
Project 1: Basic Calculator
1. Setting Up the Main Framework
2. Implementing Arithmetic Functions
4. Enhancing User Experience
5. Adding Advanced Arithmetic Functions
7. Memory Functions
8. Improving UI/UX
Chapter 4: The Art of SortingChevron down iconChevron up icon
Chapter 4: The Art of Sorting
4.1 Basic Sorting Algorithms: Bubble, Selection, Insertion
4.2 Advanced Sorting: Delving Deeper
4.3 Time Complexity and Performance Analysis
Practical Exercises: Chapter 4
Chapter 4 Summary
Chapter 5: Search Operations & EfficiencyChevron down iconChevron up icon
Chapter 5: Search Operations & Efficiency
5.1 Linear vs. Binary Search
5.2 Introduction to Hashing and Its Efficiency
5.3 Time Complexity and Big O Notation
Practical Exercises: Chapter 5
Chapter 5 Summary
Chapter 6: Trees and Graphs: Hierarchical Data StructuresChevron down iconChevron up icon
Chapter 6: Trees and Graphs: Hierarchical Data Structures
6.1 Trees: Types and Traversal Techniques
6.2 Graphs: Representation and Basic Algorithms
6.3 Hash Tables: Implementation and Collision Resolution
Practical Exercises for Chapter 6
Chapter 6 Summary
Quiz Part II: Sorting, Searching, and Hierarchical StructuresChevron down iconChevron up icon
Quiz Part II: Sorting, Searching, and Hierarchical Structures
Project 2: Contact Book ApplicationChevron down iconChevron up icon
Project 2: Contact Book Application
Implementing the Basic Structure
Adding Search Functionality
Adding Delete Functionality
Listing All Contacts
Conclusion and Future Enhancements
Chapter 7: Mastering Algorithmic TechniquesChevron down iconChevron up icon
Chapter 7: Mastering Algorithmic Techniques
7.1 The Philosophy of Divide and Conquer
7.2 Saving Time with Dynamic Programming
7.3 The Greedy Approach and Backtracking
Practical Exercises for Chapter 7
Chapter 7 Summary
Chapter 8: Networks and Paths: Advanced Graph AlgorithmsChevron down iconChevron up icon
Chapter 8: Networks and Paths: Advanced Graph Algorithms
8.1 Diving Deeper into Graph Theory
8.2 Algorithms for Shortest Paths, Flows, and Connectivity
8.3 Network Optimization and Advanced Graph Techniques
Practical Exercises for Chapter 8
Chapter 8 Summary
Quiz Part III: Advanced Algorithmic Techniques and Network StructuresChevron down iconChevron up icon
Quiz Part III: Advanced Algorithmic Techniques and Network Structures
Project 3: Map-based Routing ApplicationChevron down iconChevron up icon
Project 3: Map-based Routing Application
Setting Up the Graph for the Map
Implementing Dijkstra's Algorithm
User Interaction and Input Handling
Handling Real-World Map Data
Graphical Interface for Visualization (Optional)
Conclusion and Future Enhancements
Here's a summary of what we've accomplished
Chapter 9: Deciphering Strings and PatternsChevron down iconChevron up icon
Chapter 9: Deciphering Strings and Patterns
9.1 Basics of String Algorithms
9.2 Pattern Searching, Tries, and Suffix Trees
9.3 Advanced Pattern Matching and Text Analysis Techniques
Practical Exercises for Chapter 9
Chapter 9 Summary
Chapter 10: Venturing into Advanced Computational ProblemsChevron down iconChevron up icon
Chapter 10: Venturing into Advanced Computational Problems
10.1 Unraveling NP-hard and NP-complete Classes
10.2 Approaches to Approximation and Randomized Algorithms
10.3 Advanced Algorithms in Graph Theory and Network Analysis
Practical Exercises for Chapter 10
Chapter 10 Summary
Chapter 11: From Theory to Practice. Case Studies & OptimizationsChevron down iconChevron up icon
Chapter 11: From Theory to Practice. Case Studies & Optimizations
11.1 Case Studies: Real-world Algorithmic Solutions
11.2 Python Performance Considerations and Enhancements
Practical Exercises for Chapter 11
Chapter 11 Summary
Quiz Part IV: String Manipulation, Advanced Concepts, and Practical ApplicationsChevron down iconChevron up icon
Quiz Part IV: String Manipulation, Advanced Concepts, and Practical Applications
Project 4: Plagiarism Detection SystemChevron down iconChevron up icon
Project 4: Plagiarism Detection System
Building the Foundation: Text Preprocessing and Similarity Measurement
Handling Larger Documents and Paragraph-Level Analysis
Incorporating Advanced Text Analysis Techniques
Conclusion and Future Directions
ConclusionChevron down iconChevron up icon
Conclusion
Know more about usChevron down iconChevron up icon
Know more about us

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About the author

Profile icon Cuantum Technologies LLC
Cuantum Technologies LLC
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Cuantum Technologies is a leading innovator in the realm of software development and education, with a special focus on leveraging the power of Artificial Intelligence and cutting-edge technology. They specialize in web-based software development, authoring insightful programming and AI literature, and building captivating web experiences with the intricate use of HTML, CSS, JavaScript, and Three.js. Their diverse array of products includes CuantumAI, a pioneering SaaS offering, and an array of books spanning from Python, NLP, PHP, JavaScript, and beyond. Through their services, they are constantly striving to demystify AI and technology, making it accessible, understandable, and useable for all.
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