Mastering Search Algorithms with Python

In todays 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 Python’s 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 todays data-driven environments.

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

Pooja Baraskar is an accomplished software engineer, inventor, and technical author with over a decade of experience in the tech industry. Currently, Pooja is leading developer programs at Intel worldwide, including the Global Intel® Software Innovator Program. Leveraging her expertise and vision, she leads impactful initiatives that shape the industry and empower tech professionals globally.

Pooja is passionate about challenging the status quo and driving innovation. She is a trailblazer in areas, such as artificial intelligence and the Internet of Things and has a proven ability to translate complex technical concepts into accessible and actionable ideas. Pooja’s clear and precise writing has made her a trusted source in tech, and her educational materials have been adopted worldwide including the OpenVINOTM Digital Courseware for Educators. She actively mentors others and shares her expertise to foster growth within the tech community. Her contributions have been recognized with awards such as three-time Microsoft Most Valuable Professional (MVP) and two-time top Intel Software Innovator.

In addition to her work in the tech industry, Pooja is an avid traveler, passionate cook, and skilled martial artist. Her diverse interests and experiences have given her a well-rounded perspective on life and work, allowing her to approach challenges with creativity, energy, and enthusiasm.

Abhishek Nandy is the Chief of AI at PrediQt Business Solution, spearheading the development of cutting-edge AI tools tailored for diverse client needs. With a rich blend of industry experience, research acumen, and entrepreneurial spirit, Abhishek has achieved notable success across pharmaceuticals, manufacturing, and retail sectors. He has effectively led teams in both research and product development. Abhishek has a B.Tech degree and is driven by an insatiable curiosity, which fuels his ongoing pursuit of a PHD in Industrial IoT and AI.

An Intel Black Belt Developer recognized for his contributions to Intel Open Source, Abhishek is also an accomplished author with four published books. Beyond his professional roles, he serves as a mentor and educator, also moderating the MLOps program for Udacity Nanodegree Course.