Gayle Laakmann McDowell, the author of Cracking the PM Interview and Cracking the Tech Career, is the founder and CEO of CareerCup. Her professional background is in software development. She has worked as a software engineer for companies such as Google, Microsoft, and Apple. On the hiring committee at Google, she interviewed hundreds of software engineers and analyzed thousands of hiring packets. She graduated from the University of Pennsylvania with a B.S.E. and M.S.E. in computer science, as well as an MBA from the Wharton School.

Cracking the Coding Interview, 6th Edition will guide you through the process, teaching you what you need to know and allowing you to perform at your best. Hundreds of software engineers have been coached and interviewed by the author. As a result, this book was born and regarded as one of the best books on data structures.

Learn how to decipher clues and hidden subtleties in a question, how to break down a problem into manageable bits, how to unstick yourself when stuck, key computer science ideas (or re-learn), and practice on 189 interview questions and solutions.

These interview questions are authentic; they were not taken from computer science textbooks. They accurately reflect what is genuinely being asked at the best firms, allowing you to be as prepared as possible.

WHAT'S ON THE INSIDE?

• There are 189 programming interview questions ranging from the fundamentals to the most difficult algorithm difficulties.
• A step-by-step explanation of how to arrive to each solution, so you can do it yourself.
• Hints on how to answer each of the 189 questions, just like in a real interview.
• Five tried-and-true ways for answering algorithm questions so you can solve problems you've never seen before.
• Coverage of fundamental topics such as huge O time, data structures, and core algorithms is extensive.
• A look behind the scenes at how major corporations such as Google and Facebook hire developers.
• Techniques for preparing for and acing behavioral questions in interviews.
• Details about what constitutes a successful interview question and the recruiting process for interviewers and organizations.

Author: Gayle Laakmann McDowell

Link to buy: https://www.amazon.com/Cracking-Coding-Interview-Programming-Questions/dp/0984782850/

Ratings: 4.7 out of 5 stars (from 7210 reviews)

Best Sellers Rank: #730 in Books

#1 in Job Interviewing (Books)

#1 in Job Hunting (Books)

#1 in Software Design & Engineering

Niklaus Emil Wirth is a computer scientist from Switzerland. He created various computer languages, notably Pascal, and pioneered several classic software engineering concepts. In 1984, he received the Turing Award, widely regarded as the top honor in computer science, for designing a series of new computer languages.

Niklaus Wirth's 1976 book Algorithms + Data Structures = Programs covers some of the core subjects of computer programming, including that algorithms and data structures are essentially related. For example, if one has a sorted list, one will employ a search algorithm designed specifically for sorted lists.

The book, like Wirth's other works, was widely utilized in education and was one of the most influential computer science books of the time. Anders Hejlsberg's Turbo Pascal compiler was heavily influenced by Niklaus Wirth's Tiny Pascal compiler.

The book includes five chapters:

• Chapter 1 - Fundamental Data Structures
• Chapter 2 - Sorting
• Chapter 3 - Recursive Algorithms
• Chapter 4 - Dynamic Information Structures
• Chapter 5 - Language Structures and Compilers

Author: John Sonmez

Link to buy: https://www.amazon.com/Algorithms-Structures-Prentice-Hall-Automatic-Computation/dp/0130224189/

Ratings: 4.6 out of 5 stars (from 69 reviews)

Best Sellers Rank: #166,669 in Books

#7 in Data Structure and Algorithms

#1,366 in Computer Science (Books)

#1,644 in Mathematics (Books)

Problem Solving with Algorithms and Data Structures Using Python focuses on computer science. Python is also mentioned. There is, however, much more.

Comprehension what computer science is all about requires a thorough understanding of algorithms and data structures. Learning computer technology is similar to learning any other tough subject. The only way to succeed is to deliberately and incrementally expose yourself to the essential ideas. Before moving on to the more sophisticated aspects of the curriculum, a novice computer scientist must practice to ensure a complete comprehension. Furthermore, a newbie must be given the opportunity to succeed and acquire confidence.

Problem Solving with Algorithms and Data Structures Using Python is intended to be used as a text for a first course on data structures and algorithms, which is usually taught as the second semester in a computer science program. Despite the fact that the second course is more difficult than the first, this book assumes you are a beginner at this level. You may still be struggling with some of the fundamental concepts and abilities from your first computer science course, but you are eager to learn more about the subject and practice problem solving. In the books, the authors go over abstract data types and data structures, as well as developing algorithms and problem solving. They look at a variety of data structures and address common challenges. The tools and techniques you acquire here will be useful as you continue your studies in computer science.

Author: Bradley N. Miller and David L. Ranum

Link to buy: https://www.amazon.com/Problem-Solving-Algorithms-Structures-Python/dp/1590282574/

Ratings: 4.6 out of 5 stars (from 129 reviews)

Best Sellers Rank: #110,520 in Books

#5 in Data Structure and Algorithms

#143 in Python Programming

#258 in Computer Programming Languages

Robert Lafore holds degrees in Electrical Engineering and Mathematics, worked as a systems analyst for the Lawrence Berkeley Laboratory, created his own software company, and is a best-selling computer programming author. His most recent books include C++ Interactive Course and Object-Oriented Programming in C++. Earlier best-selling products include Assembly Language Primer for the IBM PC and XT and Soul of CP/M (at the dawn of the computer revolution).

Although the topic is complex, Data Structures and Algorithms in Java, Second Edition is written to be easy to read and understand. Algorithms are the processes used by computer programs to alter data structures. A workshop is included as a short demonstration application executable in a Web browser, in addition to clear and simple example programs. The applications show what data structures look like and how they work in graphical form. The program is rebuilt in the second edition to improve operation and explain the algorithms, the example programs are updated to run with the most recent version of the Java JDK, and questions and exercises are included at the conclusion of each chapter to make the book even more useful.

Instructors at accredited educational institutions can access suggested solutions to the programming tasks found at the end of each chapter. The book is regarded as one of the best books on data structures.

Author: Robert Lafore

Link to buy: https://www.amazon.com/Data-Structures-Algorithms-Java-2nd/dp/0672324539/

Ratings: 4.6 out of 5 stars (from 370 reviews)

Best Sellers Rank: #158,462 in Books

#6 in Data Structure and Algorithms

#26 in Computer Programming Structured Design

#51 in Java Programming

Michael Main is a computer science associate professor at the University of Colorado at Boulder. Washington State University is where he received his BS, MS, and PhD.

Walter Savitch is an Emeritus Professor of Computer Science at the University of California, San Diego. Complexity theory, formal language theory, computational linguistics, and the development of computer science education materials, including numerous top textbooks, are among his research interests. He received his doctorate in mathematics from the University of California, Berkeley.

Among the best books on data structures, Data Structures and Other Objects Using C++ is a gentle introduction to the C++ data structures course. This text provides an early, self-contained overview of object-oriented programming and C++, giving students a good understanding of important ideas and allowing those experienced in another language to simply adjust.. Because the course is designed to be flexible, professors can emphasize object-oriented programming, cover recursion and sorting early, or accelerate the speed of the course. Finally, a solid foundation in creating and exploiting abstract data types is presented, as well as a variety of advanced subjects such as B-trees for project development and graphs.

Author: Walter J. Savitch and M. Main

Link to buy: https://www.amazon.com/Data-Structures-Other-Objects-Using/dp/0132129485/

Ratings: 4.0 out of 5 stars (from 79 reviews)

Best Sellers Rank: #188,567 in Books

#7 in Data Structure and Algorithms

#63 in C++ Programming Language

#115 in Database Storage & Design