Coding Interview Preparation
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Reading list
We've selected 20 books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Coding Interview Preparation.
Is widely considered the bible for coding interview preparation. It provides a comprehensive collection of programming questions and detailed solutions, covering essential data structures and algorithms. It's an excellent starting point for gaining a broad understanding and must-read for anyone serious about technical interviews.
Available in C++, Java, and Python versions, this book offers a vast collection of challenging problems and their solutions. It delves deeper into algorithmic paradigms and problem-solving techniques, making it ideal for solidifying understanding and preparing for interviews at top tech companies. It valuable reference tool.
The second volume in the System Design Interview series, this book covers additional system design topics and provides more practice problems. It's essential for candidates preparing for multiple rounds of system design interviews.
Offers a unique perspective by focusing on identifying and solving algorithmic problems in the real world. It includes a catalog of algorithmic problems and their solutions, making it a useful reference for recognizing problem patterns in interviews. The third edition was published in 2020, offering updated content.
Provides a very visual and beginner-friendly introduction to core algorithms. It's an excellent resource for those new to algorithms or who prefer a more intuitive explanation before diving into more rigorous texts. It helps in gaining a broad understanding of fundamental concepts.
While not strictly an interview preparation book, this crucial resource for understanding the underlying principles of large-scale data systems. It provides depth on topics relevant to system design interviews and is highly regarded in the industry.
Another book by Alex Xu, this resource focuses on common coding interview patterns. Recognizing these patterns can help candidates approach and solve problems more efficiently during interviews. It complements general algorithm and data structure knowledge.
The previous edition of the classic CLRS textbook. While the fourth edition is available, the third edition still contains foundational knowledge on algorithms and data structures that is highly relevant for coding interviews. It remains a valuable, in-depth resource.
Covers a range of interview topics beyond just algorithms and data structures, including_testing, databases, and other technical subjects. It provides a broader view of the technical interview process and common questions asked.
Is geared towards competitive programmers but is an excellent resource for mastering advanced algorithms and data structures. It's suitable for those aiming for top-tier tech companies and seeking to deepen their understanding significantly. It is more advanced than typical interview prep books.
The second volume of Sedgewick and Wayne's Algorithms, covering graph algorithms and string processing. is useful for deepening understanding of more advanced algorithmic concepts that may appear in coding interviews.
Offers a collection of data structure and algorithm problems with solutions, presented in a puzzle-like format. It can be a useful resource for practicing problem-solving and reinforcing concepts learned from other texts.
This textbook provides a comprehensive introduction to data structures and algorithms using Python. It's suitable for those who prefer learning these concepts in a specific programming language commonly used in interviews.
Provides a good collection of problems and solutions focusing on data structures and algorithms implemented in Java. It practical resource for practicing coding problems in a specific language relevant to many interviews.
Provides a solid theoretical foundation in algorithms and data structures. It's a good resource for university students and those who want a rigorous understanding of the subject matter. It can serve as a valuable reference.
Written by one of the co-authors of "Introduction to Algorithms," this book provides a more accessible introduction to algorithms for a broader audience. It's a good stepping stone for those who find CLRS too challenging but want to build a solid understanding of algorithmic concepts.
Focuses specifically on recursion, a fundamental concept frequently tested in coding interviews. It provides clear explanations and examples in Python and JavaScript, making a sometimes tricky topic more accessible.
Offers a concise overview of fundamental algorithms and data structures. It's a good reference for quickly reviewing concepts and understanding their practical applications.
While not directly about algorithms or data structures, this book is crucial for writing maintainable and readable code, a skill implicitly assessed in coding interviews. It emphasizes software craftsmanship and best practices that are highly valued by employers.
Provides timeless advice on various aspects of software development, including writing flexible and maintainable code, continuous learning, and career development. While not a technical interview book, its principles can help candidates demonstrate a strong understanding of software engineering practices.
For more information about how these books relate to this course, visit:
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