Silicon Valley Python Engineer Interview Guide Data Structure, Algorithm, and System Design
by
 
Ren, Jianfeng. author.

Title
Silicon Valley Python Engineer Interview Guide Data Structure, Algorithm, and System Design

Author
Ren, Jianfeng. author.

ISBN
9789819632015

Edition
1st ed. 2025.

Physical Description
XXVII, 468 p. 34 illus., 24 illus. in color. online resource.

Abstract
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.

Subject Term
Algorithms.
 
Python (Computer program language).
 
Artificial intelligence -- Data processing.
 
Design and Analysis of Algorithms.
 
Python.
 
Data Science.

Added Author
Li, Andric.

Added Corporate Author
SpringerLink (Online service)

Electronic Access
https://doi.org/10.1007/978-981-96-3201-5


LibraryMaterial TypeItem BarcodeShelf Number[[missing key: search.ChildField.HOLDING]]Status
Online LibraryE-Book607744-1001ONLINESpringer E-Kitap Koleksiyonu