Description
Recognizing that each candidate possesses unique time constraints, Elements of Programming Interviews caters to various preparation timelines, offering a meticulously crafted study guide with scenarios tailored to your needs—from intensive weekend Hackathons to thorough semester-long study plans. Each scenario includes a curated selection of problems designed to optimize your learning experience.
Every problem within this book is categorized by difficulty, complemented by numerous variants to broaden your understanding and application of the learned concepts. In addition, hints are provided for those instances where you may encounter difficulties, effectively mirroring the challenges posed in a real interview environment.
Have you ever found yourself…
- Dreaming of joining an innovative and cutting-edge tech company?
- Hankering to dive deep into practical computing challenges?
- Experiencing frustration with an interview problem that should have taken a mere 15 minutes to solve?
If your answer is yes, then Elements of Programming Interviews (EPI) is the book you need to explore.
Reviews
“A practical, fun approach to computer science fundamentals, as seen through the lens of common programming interview questions.” — Jeff Atwood / Co-founder of Stack Overflow and Discourse
“A treasure trove for anyone gearing up for a modern software engineering interview: work through this entire ebook, and you will discover that the actual interview feels like a breeze. Additionally, for algorithms lovers, Elements of Programming Interviews serves up endless hours of engaging content while equipping you with clever coding techniques.” — Vineet Gupta / Principal Engineer of Google
“This ebook is not just a preparation tool for contemporary software interviews; it also offers a peek into how algorithmic principles can be applied in real-world scenarios. It emphasizes problems rooted in practical applications, which can be coded in a reasonable timeframe, making it an excellent accompaniment to traditional computer science courses on algorithms and data structures.” — Ashish Goel / Professor at Stanford University
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