Daily Coding Problem: Get exceptionally good at coding interviews by solving one problem every day

I bought this book two weeks ago and am LOVING it. I'm a beginner-intermediate coder, and I feel like this is really helping to take me to the next level. I've working through a variety of online programming courses for a while, and was just starting to plateau. I'm still a ways from being ready for a job interview, but hopefully by the time I finish the book I will be. For the most part, the information in the book you could find elsewhere, but for me it's so helpful to have it all well-organized in one place. It makes it much easier to quickly learn new techniques instead of spending hours trying to think of the right phrasing for my question in google. One thing that might not be clear from the title is that a large part of the book covers various algorithms and programming structures. Only 1/3 - 1/2 is actual coding questions. As someone learning, that's what I was looking for, but good to be aware of before you buy. Some of the coding questions are pretty easy, but others are very hard and would probably be a challenge even for someone more experienced. My advice to anyone who gets the book is to not give up on the hard problems too easily, really struggle for a bit before checking the answer.

I bought this book like 3 months ago. It is really good because it teach you how to solve problems with a different perspective. This book is meant for intermediate and advance level. I read the other reviews and they are wrong. It seems like the expectation is to teach you how to code. This book is not meant for beginners that are just learning how to code for the first time. I love to code in java so it is good that this book used python so I can learn python plus I translate the code into java.

I am a subscriber for their email list called Daily Coding Problem. The book contains same/similar questions from the email list. However, explanations are pretty good. I would recommend to any friend who wants to excel in programming problems.

Really easy read, much more so than cracking the coding interview. Looking thru the table of contents is a little intimidating b/c it covers so many topics, but each section isn't too intense so its easier to get thru than expected. I like how the book is organized: reminds me of classes in undergrad. The book is a little larger than expected but still light enough to carry around easily. The benefit here is that there's enough white space in the margins to take notes if you want to. I've been a subscriber of the mailing list for a while which is pretty barebones, just coding problems + their solutions, so it's pretty cool to see something more educational and robust come out from the same founders.

Performance is one of the most important criteria for algorithm implementations. This book uses Python as the choice of algorithm implementations, which is not made clear anywhere (title, book description or Preface). Performance wise, Python is a bad choice, because it is well-known that Python as a scripting language is orders of magnitude slower than complied languages such as C/C++, Java, etc. For example, the first example of "Get products of all other elements" took 67 seconds with an array of 9 elements from 1 through 9, looped 10 million times, versus 0.39 seconds with the same problem from another text titled "Algorithms with Implementations in C: a Quantitative Approach," under the same test conditions. This is a 172 times difference! I wish there was a version with the examples implemented in Java or C/C++. Besides, the implementations are not as efficient as they should have been, given that it is supposed to teach others to code more efficiently. Using the same example mentioned above, I got it down from 67 seconds to 34 seconds, simply by re-implementing it using the same implementation logic in C as can be found in "Algorithms with Implementations in C: a Quantitative Approach." Here is my re-implementation of the same problem in Python that improved the original running time of 67 seconds by 2x down to 34 seconds on my Macbook Pro. You can copy/paste/run it on your own machine and verify. ''' Implementation from "Algorithms with Implementations in C: A quantitative Approach" void array_multiply(int a[], int b[], int n) { int sub = 1; for (int i = 1; i < n; i++) { sub *= a[i - 1]; b[i] = sub; } b[0] = 1; sub = 1; for (int i = n - 1; i > 0; i--) { sub *= a[i]; b[i - 1] *= sub; } } ''' import time def products(a): n = len(a) sub = 1 b = [0] * n i = 1 while (i < n): sub = sub * a[i - 1] b[i] = sub i = i + 1 i = n - 1 b[0] = 1 sub = 1 while (i > 0): sub = sub * a[i] b[i - 1] = sub * b[i -1] i = i - 1 return b a = [1, 2, 3, 4, 5, 6, 7, 8, 9] start = time.time() N = 10000000 for i in range(N): b = products(a) print("duration =", str(int(time.time()-start)), "seconds") print(b)

I've transferred jobs once before and it was astounding how much interview/algorithms/coding content had just been flushed out of my brain in the time I was actually working. I'm not going to lie, I keep a copy of this book in my bathroom. Sometimes, I'll head for the toilet knowing I won't be getting up for a while. I figured it would probably behoove me to find something productive to do during this time instead of just browsing instagram/reddit on my phone like a jackass. I tried browsing interview questions on leetcode and geeksforgeeks but the mobile UI is complete shit if I'm being honest. Paying $33 just to solve that problem is well worth it IMO. On top of that, I've found the content in this to be easier to digest than those sites. I started interviewing again recently and I was pleasantly surprised to discover that I could essentially skip the "studying" phase this time. 10/10 purchase, would buy a 2nd edition.

For those with a keen interest in solving various practical and theoretical coding problems, or for someone needing a quick fix for an imminent interview, this book is very helpful. Its explanation for each category of questions provides a guide to solve problems of the same category. Such explanations are particularly useful as they are not normally taught in the classroom. Although titled "Daily Coding Problems", it allows me to go through the questions at my own pace, one or several a day. The book could be improved by including some really mind-boggling questions to challenge readers' intellectual limit, just for fun.

I have read the entire book, and the conclusion is that there are some code errors and the code is not written rigorously. The code is pretty rough

This book is so overpriced for its content. All questions are taken from LeetCode.

A must have for anyone who is learning coding and would either like to challenge themselves or prepare for a future job interview. The problems and their solutions are nicely structured. In addition increasing levels of difficulty allow you to understand how far your understanding goes and how prepared you can be for a interview at a specific firm. Also try their daily challenges via email. More problems for you if it is not enough.

Not much is explained. A couple of exercises that could be found on leetcode. Avoid