Agustus 10, 2014
Download PDF Programming Problems: A Primer for the Technical Interview (Volume 1)
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Programming Problems: A Primer for the Technical Interview (Volume 1)
Download PDF Programming Problems: A Primer for the Technical Interview (Volume 1)
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Product details
Series: Programming Problems
Paperback: 154 pages
Publisher: CreateSpace Independent Publishing Platform; 2 edition (March 27, 2012)
Language: English
ISBN-10: 1492175552
ISBN-13: 978-1492175551
Product Dimensions:
6 x 0.4 x 9 inches
Shipping Weight: 10.2 ounces (View shipping rates and policies)
Average Customer Review:
3.4 out of 5 stars
17 customer reviews
Amazon Best Sellers Rank:
#586,659 in Books (See Top 100 in Books)
I've run most of the code in both volumes and they run at about 90% accurate. For comparison, a "new" $300 algo text from a reputable publisher runs about the same! There are huge numbers of English language typos and mistakes, but these are annoyances, and do not take away from the deep value of the problems and ideas. The author covers the subtleties of "trick" questions (eg. hash table deficiencies) better than most texts I've seen; for the price, these are a must.In general, C++ is one of the most hated languages ever created (see Code Complete at: Code Complete: A Practical Handbook of Software Construction, Second Edition if you don't believe me!). Yes, it is a lot more transparent, and the statements far more explicit than C#, Python or Java, but nearly every seasoned programmer hates it outside its narrow wheelhouse. C itself is still used in numerous circuit applications, and is far from dead, but objective C and ++ are mostly reserved for older O/S applications today.Most interviews today allow you to choose a better known language, and the author makes a good point that this is one of the easier to "demonstrate," but the truth is, the follow up question would be: "and how would you do that functionally, or just using the oop elements of the language?" meaning-- C#, Java or Python!! Haskell pros also score high in the interviews I review, especially if augmented with an oop like Java. Some of us older C pros can use the whole C++ without every accessing an oop method, as it can "act" like C when you need it to-- but again, circuits and O/S are the sweet spot, which leave out a LOT of more modern interviews.For background, I'm a volunteer interview question designer and reviewer at preptorial dot org, who offer thousands of test bank questions free, so I'm basing my review on the most current questions we get in exit interviews at all the top hiring companies, big and small, which the foundation pays for.If typos or the occasional blown code are something you can't live with, pass. Otherwise, there is a LOT in both volumes that get much deeper into the guts of coding questions than other texts at 10 times the cost. These aren't big books, but are packed in every sentence with relevant code and reasons for one choice vs. another, which really is the essence of interviewing: with 3 ways to design a solution, why choose B instead of A or C? That is where this author shines, and it is obvious that he's for real in the problem definition and solution design departments. By showing this kind of deep, specialized understanding, regardless of language, your interview will shine and stand out.
Actually, I am not sure if it should be called a book. It looks like a collection of informal notes collected by an engineer who is pretty good at algorithms. It is still a good (although not complete) overview of basic algorithms for a technical interview. However it comes at a high cost.I didn't look for a book with all the formal proofs and discussions, but the level of informality here is astonishing. In a couple of cases I couldn't even understand the definition of a problem (prime example is "Find a fixed point" problem). In many other cases it was absolutely impossible to understand the approach without actually reading all the code. For example, "Selection on Large Data" has a ton of text and still it is absolutely impossible to understand even a high level strategy\approach by reading just the text. Again, at other places explanations are very vague and ambiguous. When reading an average article in this book I feel like I am looking at an informal email from a friend who is trying to explain the algorithm, but since the email is not for the wide audience he didn't try to be specially clear or strict. So in many cases, I just ended up reading Wikipedia articles on these subjects instead. They are much clearer.As a simple demonstration of incompleteness/informality, let's take a look at the problem "8.3.1" where the author is explaining how to do a topological sort with DFS. Can it be done, with BFS? Or is there something special about DFS? You want find the answer in this book...C++ 11 notation doesn't improve the readability of code at all, it will just make it harder for Java/C# developers to map this to their languages.To be fair, there are quite a few tricks that were useful and helpful and improved my previous solutions to these problems.
Setting aside the occasional incorrectness and vagueness mentioned in other reviews this "book" is still not worth buying. It is really short, there are a bunch of obvious misspellings and grammatical problems and the author repeatedly references the "sequel" which is just as short. I am only about halfway through because the last time I sat down to read it I was immediately distracted by one of the code samples and sat there for 10 minutes trying to understand what he was doing and why, I eventually just put the book down and went to attempt the problem on my own and compare solutions.
I would like to first address a comment by another reviewer who feels that the content of this book is sub-par simply because it does not cover anything new. I believe that is not the intent of this book. The sub-heading on the front cover clearly states that it's a "primer", which by definition suggests that it will cover the elementary principles. Reading the preface at the beginning of the book and the afterward at the end should convince you that this book is the first volume and a follow up volume, that is yet to be published, will cover more challenging algorithms.This book is very helpful to those who want a thorough review of the basics principles of popular data-structures used to solve programming problems. While it is true that other programming interview books may have wider coverage, this book condenses the fundamentals in a very concise and organized manner. Each data-structure is introduced with it's fundamental build-blocks (structure, insert, find, remove) and other operations unique to the data-structure that is commonly tested in interviews.The usage of C++11 is an apt choice, and I agree with the author that the language is held in high regard with the "best in the field". I eagerly await the author's next volume.
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