Friday, September 13, 2019

Why Are Data Structures and Algorithms Emphasized?

This book teaches you, in addition to the basic knowledge in programming, proper algorithmic thinking and using basic data structures in programming. Data structures and algorithms are a programmer’s most important fundamental skills! If you have a good grasp of them, you will not have any trouble becoming proficient in any software technology, development tool, framework or API. That is what the most serious software companies rely on when hiring employees. Proof of this is job interviews at large companies like Google and Microsoft that rely exclusively on algorithmic thinking and knowledge of all basic data structures and algorithms.

The information below comes from Svetlin Nakov, the leading author of this book, who passed software engineering interviews at Microsoft and Google in 2007-2008 and shares his own experiences.



Job Interviews at Google

100% of the questions at job interviews for software engineers at Google, Zurich, are about data structures, algorithms, and algorithmic thinking. At such an interview you may have to implement on a whiteboard a linked list (see the chapter "Linear Data Structures") or come up with an algorithm for filling a raster polygon (given in the form of a GIF image) with some sort of color (see Breadth-first search in the chapter "Trees and Graphs"). It seems like Google are interested in hiring people who can think algorithmically and who have a grasp of basic data structures and computer algorithms. Any technology that candidates would afterward use in their line of work can be quickly learned. Needless to say, do not assume this book will give you all the knowledge and skills to pass a job interview at Google. The knowledge in the book is absolutely a necessary minimum, but not completely sufficient. It only marks the first step.

Job Interviews at Microsoft

A lot of questions at job interviews for software engineers at Microsoft, Dublin, focus on data structures, algorithms, and algorithmic thinking.  For example, you could be asked to reverse the words in a string (see the chapter "Strings and Text Processing" or to implement topological sorting in an undirected graph (see the chapter "Trees and Graphs"). Unlike Google, Microsoft asks a lot of engineering questions related to software architectures, multithreading, writing secure code, working with large amounts of data and software testing. This book is far from sufficient for applying at Microsoft, but the knowledge in it will surely be of use to you for the majority of questions.




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