Silicon Valley Python Engineer Interview Guide
Ren, Jianfeng, Li, Andric
Produktnummer:
18f09c4b5a52194693a9f650309ad2a31b
Autor: | Li, Andric Ren, Jianfeng |
---|---|
Themengebiete: | Algorithms Binary Search Breadth-First Search (BFS) Data Structures Depth-First Search (DFS) Dynamic Programming Machine Learning Python Programming System Design Technical Interview |
Veröffentlichungsdatum: | 22.03.2025 |
EAN: | 9789819632008 |
Sprache: | Englisch |
Seitenzahl: | 468 |
Produktart: | Kartoniert / Broschiert |
Verlag: | Springer Singapore |
Untertitel: | Data Structure, Algorithm, and System Design |
Produktinformationen "Silicon Valley Python Engineer Interview Guide"
Silicon Valley Python Interview Guide: Data Structures, Algorithms, and System Design is an essential resource for aspiring software engineers preparing for technical interviews at top-tier companies. This book provides a comprehensive roadmap, covering foundational concepts, practical coding techniques, and advanced problem-solving strategies to help candidates excel in interviews. With a focus on Python, the book equips readers with the skills to tackle challenging coding problems, design scalable systems, and communicate solutions effectively. In the first half, the book delves into core data structures (lists, stacks, queues, graphs, and trees) and algorithms (binary search, dynamic programming, DFS, BFS, and backtracking),offering practical examples and Python implementations. The latter half transitions to system design, including big data architectures, distributed systems, and machine learning workflows. Case studies on real-world applications like Tiny URL, autocomplete systems, and Chat GPT-like models provide hands-on insights. Whether you are an early-career engineer or an experienced professional, this guide is designed to enhance your preparation with real-world examples, tested code, and proven strategies. It is more than a technical handbook—it is your roadmap to building confidence and securing a role in the competitive tech industry.

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