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Mastering Search Algorithms with Python | Data Search & Optimization Guide | Pooja Baraskar | New Edition | BPB (English Medium)
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| 672-827 |
Mastering Search Algorithms with Python | Data Search & Optimization Guide | Pooja Baraskar | New Edition | BPB (English Medium)
"Mastering Search Algorithms with Python" is a comprehensive guide that takes you through the world of data search and optimization using Python programming language. Authored by Pooja Baraskar, this new edition from BPB Publications is designed to help both beginners and experienced programmers understand and implement advanced search algorithms effectively.
The book starts with an introduction to basic search algorithms and gradually progresses towards more complex topics such as graph algorithms, string matching algorithms, and optimization techniques. With practical examples and hands-on exercises, readers will learn how to apply these algorithms in real-world scenarios to solve complex data search problems efficiently.
Key Features:
1. Comprehensive coverage of various search algorithms including linear search, binary search, depth-first search, breadth-first search, Dijkstra's algorithm, A* algorithm, and more.
2. Detailed explanations with code snippets in Python for easy understanding and implementation.
3. Practical examples and case studies to demonstrate the application of search algorithms in different domains.
4. Tips and tricks for optimizing search algorithms for better performance.
5. Exercises at the end of each chapter to test your understanding and reinforce learning.
Whether you are a student looking to deepen your understanding of data structures and algorithms or a professional seeking to enhance your skills in data search and optimization, "Mastering Search Algorithms with Python" is the perfect resource for you. Get ready to master the art of searching through vast amounts of data efficiently using Python!
Publisher : BPB Publications, Publication date : 20 July 2024, Language : English, Print length : 340 pages, ISBN-10 : 935551624X, ISBN-13 : 978-9355516244, Item Weight : 585 g, Dimensions : 19.05 x 1.96 x 23.5 cm, Country of Origin : India
Mastering Search Algorithms with Python by Pooja Baraskar is a practical and comprehensive guide designed to help learners and professionals understand the core concepts of search algorithms and their real-world applications. In today’s data-driven world, efficient search techniques are essential for handling large datasets, optimizing performance, and building intelligent systems.
This book begins with the fundamentals of search algorithms, making it ideal for beginners as well as intermediate learners. It covers basic techniques such as linear search and binary search, explaining their working principles, performance, and real-world use cases. With clear explanations and Python-based examples, readers can easily understand how these algorithms function and how to implement them.
As the book progresses, it introduces more advanced concepts, including graph traversal algorithms like Depth-First Search (DFS) and Breadth-First Search (BFS). These algorithms are essential for solving complex problems in computer science, such as network analysis, pathfinding, and decision-making systems. The step-by-step coding examples help readers build confidence in implementing these techniques.
One of the key highlights of this book is its coverage of advanced search algorithms like the A* (A-star) algorithm, which is widely used in artificial intelligence for optimal pathfinding. Readers will learn how to apply these techniques in real-world scenarios such as navigation systems, gaming, and robotics.
The book also explores optimization techniques and performance analysis, helping readers understand how to choose the most efficient algorithm for a given problem. This knowledge is crucial for developers working with large datasets, machine learning models, and big data applications.
In addition, the book touches on modern applications of search algorithms, including their role in artificial intelligence and neural networks. Concepts such as gradient descent are introduced to provide a broader understanding of how search techniques are applied in advanced technologies.
Written in a simple and easy-to-understand language, this book is suitable for students, software developers, data scientists, and professionals who want to strengthen their algorithmic skills. It is also helpful for those preparing for coding interviews, competitive programming, or technical exams.
By the end of this book, readers will have a strong understanding of search algorithms, their implementation in Python, and their practical applications in real-world scenarios. This makes it a valuable resource for anyone looking to build efficient and optimized software solutions.
Search Keywords - Mastering Search Algorithms with Python book, Data Search & Optimization Guide by Pooja Baraskar, Best books on Python programming, Advanced search algorithms tutorial, How to optimize data searches in Python, Graph algorithms explained with examples, String matching algorithms in Python, Dijkstra's algorithm implementation in Python, A* algorithm tutorial, Linear vs binary search comparison, Depth-first vs breadth-first search differences, Top books on data structures and algorithms, BPB Publications new edition books, Recommended programming books for beginners, Python programming resources for students, Data science tutorials using Python, Coding interview preparation guide, Efficient ways to search through large datasets, Tips for improving algorithm efficiency, Python programming projects for practice 1. Mastering Search Algorithms with Python book, 2. Pooja Baraskar book on search algorithms, 3. Data search and optimization guide book, 4. Best books on search algorithms, 5. Python programming for search algorithms, 6. BPB publications new edition books, 7. Search algorithms explained, 8. How to optimize data searches with Python, 9. Top Python books for data optimization, 10. Search algorithm examples in Python
| SKU / BOOK Code: | MSA-PB-2024-EN |
| Publisher: | BPB Publications |
| Author: | Pooja Baraskar (Author) |
| Binding Type: | Paperback |
| No. of Pages: | 340 |
| ISBN-10: | 935551624X |
| ISBN-13: | 978-9355516244 |
| Edition: | NEW |
| Language: | English Medium |
| Publish Year: | 2024-07 |
| Weight (g): | 585 |
| Product Condition: | New |
| Reading Age: | Above 18 Years |
| Country of Origin: | India |
| Genre: | Computers & Internet |
| Manufacturer: | BPB Publications |
| Importer: | BPB Publications |
| Packer: | Fullfilled by Supplier |
Mastering Search Algorithms with Python | Data Search & Optimization Guide | Pooja Baraskar | New Edition | BPB (English Medium)
"Mastering Search Algorithms with Python" is a comprehensive guide that takes you through the world of data search and optimization using Python programming language. Authored by Pooja Baraskar, this new edition from BPB Publications is designed to help both beginners and experienced programmers understand and implement advanced search algorithms effectively.
The book starts with an introduction to basic search algorithms and gradually progresses towards more complex topics such as graph algorithms, string matching algorithms, and optimization techniques. With practical examples and hands-on exercises, readers will learn how to apply these algorithms in real-world scenarios to solve complex data search problems efficiently.
Key Features:
1. Comprehensive coverage of various search algorithms including linear search, binary search, depth-first search, breadth-first search, Dijkstra's algorithm, A* algorithm, and more.
2. Detailed explanations with code snippets in Python for easy understanding and implementation.
3. Practical examples and case studies to demonstrate the application of search algorithms in different domains.
4. Tips and tricks for optimizing search algorithms for better performance.
5. Exercises at the end of each chapter to test your understanding and reinforce learning.
Whether you are a student looking to deepen your understanding of data structures and algorithms or a professional seeking to enhance your skills in data search and optimization, "Mastering Search Algorithms with Python" is the perfect resource for you. Get ready to master the art of searching through vast amounts of data efficiently using Python!
Publisher : BPB Publications, Publication date : 20 July 2024, Language : English, Print length : 340 pages, ISBN-10 : 935551624X, ISBN-13 : 978-9355516244, Item Weight : 585 g, Dimensions : 19.05 x 1.96 x 23.5 cm, Country of Origin : India
Mastering Search Algorithms with Python by Pooja Baraskar is a practical and comprehensive guide designed to help learners and professionals understand the core concepts of search algorithms and their real-world applications. In today’s data-driven world, efficient search techniques are essential for handling large datasets, optimizing performance, and building intelligent systems.
This book begins with the fundamentals of search algorithms, making it ideal for beginners as well as intermediate learners. It covers basic techniques such as linear search and binary search, explaining their working principles, performance, and real-world use cases. With clear explanations and Python-based examples, readers can easily understand how these algorithms function and how to implement them.
As the book progresses, it introduces more advanced concepts, including graph traversal algorithms like Depth-First Search (DFS) and Breadth-First Search (BFS). These algorithms are essential for solving complex problems in computer science, such as network analysis, pathfinding, and decision-making systems. The step-by-step coding examples help readers build confidence in implementing these techniques.
One of the key highlights of this book is its coverage of advanced search algorithms like the A* (A-star) algorithm, which is widely used in artificial intelligence for optimal pathfinding. Readers will learn how to apply these techniques in real-world scenarios such as navigation systems, gaming, and robotics.
The book also explores optimization techniques and performance analysis, helping readers understand how to choose the most efficient algorithm for a given problem. This knowledge is crucial for developers working with large datasets, machine learning models, and big data applications.
In addition, the book touches on modern applications of search algorithms, including their role in artificial intelligence and neural networks. Concepts such as gradient descent are introduced to provide a broader understanding of how search techniques are applied in advanced technologies.
Written in a simple and easy-to-understand language, this book is suitable for students, software developers, data scientists, and professionals who want to strengthen their algorithmic skills. It is also helpful for those preparing for coding interviews, competitive programming, or technical exams.
By the end of this book, readers will have a strong understanding of search algorithms, their implementation in Python, and their practical applications in real-world scenarios. This makes it a valuable resource for anyone looking to build efficient and optimized software solutions.
Search Keywords - Mastering Search Algorithms with Python book, Data Search & Optimization Guide by Pooja Baraskar, Best books on Python programming, Advanced search algorithms tutorial, How to optimize data searches in Python, Graph algorithms explained with examples, String matching algorithms in Python, Dijkstra's algorithm implementation in Python, A* algorithm tutorial, Linear vs binary search comparison, Depth-first vs breadth-first search differences, Top books on data structures and algorithms, BPB Publications new edition books, Recommended programming books for beginners, Python programming resources for students, Data science tutorials using Python, Coding interview preparation guide, Efficient ways to search through large datasets, Tips for improving algorithm efficiency, Python programming projects for practice 1. Mastering Search Algorithms with Python book, 2. Pooja Baraskar book on search algorithms, 3. Data search and optimization guide book, 4. Best books on search algorithms, 5. Python programming for search algorithms, 6. BPB publications new edition books, 7. Search algorithms explained, 8. How to optimize data searches with Python, 9. Top Python books for data optimization, 10. Search algorithm examples in Python
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