Mastering Search Algorithms with Python Pooja Baraskar, Abhishek Nandy
- Autorzy:
- Pooja Baraskar, Abhishek Nandy
- Wydawnictwo:
- BPB Publications
- Ocena:
- Stron:
- 340
- Dostępne formaty:
-
ePubMobi
Czytaj fragment
Zostało Ci
na świąteczne zamówienie
opcje wysyłki »
Opis
książki
:
Mastering Search Algorithms with Python
Description
In today's era of Artificial Intelligence and the vast expanse of big data, understanding how to effectively utilize search algorithms has become crucial. Every day, billions of searches happen online, influencing everything from social media recommendations to critical decisions in fields like finance and healthcare. Behind these seemingly straightforward searches are powerful algorithms that determine how information is discovered, organized, and applied, fundamentally shaping our digital interactions.
This book covers various search algorithms, starting with linear and binary searches, analyzing their performance, and implementing them in Python. It progresses to graph traversal algorithms like DFS and BFS, including Python examples and explores the A* algorithm for optimal pathfinding. Advanced search techniques and optimization best practices are discussed, along with neural network applications like gradient descent. You will also learn to create interactive visualizations using Streamlit and explore real-world applications in gaming, logistics, and Machine Learning.
By the end, readers will have a solid grasp of search algorithms, enabling them to implement them efficiently in Python and tackle complex search problems with ease. Key Features
Comprehensive coverage of a wide range of search algorithms, from basic to advanced.
Hands-on Python code examples for each algorithm, fostering practical learning.
Insights into the real-world applications of each algorithm, preparing readers for real-world challenges. What you will learn
Understand basic to advanced search algorithms in Python that are crucial for information retrieval.
Learn different search methods like binary search and A* search, and their pros and cons.
Use Pythons visualization tools to see algorithms in action for better understanding.
Enhance learning with practical examples, challenges, and solutions to boost programming skills. Who this book is for
This book is for software engineers, data scientists, and computer science students looking to master search algorithms with Python to optimize search algorithms in today's data-driven environments. Table of Contents
1. Introduction to Search Algorithms
2. Linear and Binary Search
3. Depth Search and Breadth First Search
4. Heuristic Search: Introducing A* Algorithm
5. Advanced Search Algorithms and Techniques
6. Optimizing and Benchmarking Search Algorithms
7. Search Algorithms for Neural Networks
8. Interactive Visualizations with Streamlit
9. Search Algorithms in Large Language Models
10. Diverse Landscape of Search Algorithms
11. Real World Applications of Search Algorithms
In today's era of Artificial Intelligence and the vast expanse of big data, understanding how to effectively utilize search algorithms has become crucial. Every day, billions of searches happen online, influencing everything from social media recommendations to critical decisions in fields like finance and healthcare. Behind these seemingly straightforward searches are powerful algorithms that determine how information is discovered, organized, and applied, fundamentally shaping our digital interactions.
This book covers various search algorithms, starting with linear and binary searches, analyzing their performance, and implementing them in Python. It progresses to graph traversal algorithms like DFS and BFS, including Python examples and explores the A* algorithm for optimal pathfinding. Advanced search techniques and optimization best practices are discussed, along with neural network applications like gradient descent. You will also learn to create interactive visualizations using Streamlit and explore real-world applications in gaming, logistics, and Machine Learning.
By the end, readers will have a solid grasp of search algorithms, enabling them to implement them efficiently in Python and tackle complex search problems with ease. Key Features
Comprehensive coverage of a wide range of search algorithms, from basic to advanced.
Hands-on Python code examples for each algorithm, fostering practical learning.
Insights into the real-world applications of each algorithm, preparing readers for real-world challenges. What you will learn
Understand basic to advanced search algorithms in Python that are crucial for information retrieval.
Learn different search methods like binary search and A* search, and their pros and cons.
Use Pythons visualization tools to see algorithms in action for better understanding.
Enhance learning with practical examples, challenges, and solutions to boost programming skills. Who this book is for
This book is for software engineers, data scientists, and computer science students looking to master search algorithms with Python to optimize search algorithms in today's data-driven environments. Table of Contents
1. Introduction to Search Algorithms
2. Linear and Binary Search
3. Depth Search and Breadth First Search
4. Heuristic Search: Introducing A* Algorithm
5. Advanced Search Algorithms and Techniques
6. Optimizing and Benchmarking Search Algorithms
7. Search Algorithms for Neural Networks
8. Interactive Visualizations with Streamlit
9. Search Algorithms in Large Language Models
10. Diverse Landscape of Search Algorithms
11. Real World Applications of Search Algorithms
Wybrane bestsellery
BPB Publications - inne książki
Dzięki opcji "Druk na żądanie" do sprzedaży wracają tytuły Grupy Helion, które cieszyły sie dużym zainteresowaniem, a których nakład został wyprzedany.
Dla naszych Czytelników wydrukowaliśmy dodatkową pulę egzemplarzy w technice druku cyfrowego.
Co powinieneś wiedzieć o usłudze "Druk na żądanie":
- usługa obejmuje tylko widoczną poniżej listę tytułów, którą na bieżąco aktualizujemy;
- cena książki może być wyższa od początkowej ceny detalicznej, co jest spowodowane kosztami druku cyfrowego (wyższymi niż koszty tradycyjnego druku offsetowego). Obowiązująca cena jest zawsze podawana na stronie WWW książki;
- zawartość książki wraz z dodatkami (płyta CD, DVD) odpowiada jej pierwotnemu wydaniu i jest w pełni komplementarna;
- usługa nie obejmuje książek w kolorze.
Masz pytanie o konkretny tytuł? Napisz do nas: sklep@ebookpoint.pl
Proszę wybrać ocenę!
Proszę wpisać opinię!
Książka drukowana
Oceny i opinie klientów: Mastering Search Algorithms with Python Pooja Baraskar, Abhishek Nandy (0) Weryfikacja opinii następuje na podstawie historii zamowień na koncie Użytkownika umiejszczającego opinię.