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Grokking Algorithms
- Narrated by: Derek Lettman
- Length: 3 hrs and 46 mins
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Grokking Algorithms
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Summary
Grokking Algorithms is a friendly guide that teaches you how to apply common algorithms to the practical problems you face every day as a programmer. You'll start with sorting and searching and, as you build up your skills in thinking algorithmically, you'll tackle more complex concerns such as data compression and artificial intelligence. Learning about algorithms doesn't have to be boring!
An algorithm is nothing more than a step-by-step procedure for solving a problem. The algorithms you'll use most often as a programmer have already been discovered, tested, and proven. If you want to understand them but refuse to slog through dense multipage proofs, this is the book for you. This engaging guide makes it easy to learn how to use the most important algorithms effectively in your own programs.
Contents include:
- Introduction to algorithms
- Selection sort
- Recursion
- Quicksort
- Hash tables
- Breadth-first search
- Dijkstra's algorithm
- Greedy algorithms
- Dynamic programming
- K-nearest neighbors
This accessible introduction is suitable for self-taught programmers, engineers, or anyone who wants to brush up on algorithms. Each carefully presented example includes helpful diagrams and fully annotated code samples in Python.
Aditya Bhargava is a software engineer with a dual background in computer science and fine arts. He blogs on programming at adit.io.
PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.
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What listeners say about Grokking Algorithms
Average customer ratingsReviews - Please select the tabs below to change the source of reviews.
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Overall4 out of 5 stars
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Performance4 out of 5 stars
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Story5 out of 5 stars
- Traveling_steve
- 27-08-20
A helpful audiobook.. but the attached PDF is poor
Okay, I only recently purchased this book and have been listening though as it is well paced, clearly worded and interesting topics. I think the author has chosen some accessible problems and examples to keep interest without distraction and I am overall very glad I made the purchase.
However: The pdf that comes with the audiobook is ONLY the images from the original book. There are broken links in the to what I assume is an online version of the book. This is a problem as the detail in the book are not complemented with what is provided and eventually I was forced to ALSO purchase the digital version of the textbook to accompany the audiobook. I feel somewhat irritated that I had to buy this book twice as a result. So my recommendation is buy the text book first and then only purchase the audiobook if you feel it would be of benefit to have the information read out as you code.
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8 people found this helpful
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Overall5 out of 5 stars
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Performance5 out of 5 stars
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Story5 out of 5 stars
- alexlom
- 09-08-23
Love this book. And love the narration.
If you want to dive into algorithms, this book - is a good choice.
As to narration: I think that a man must have special talent to make voice cover for books in computer science. And this Narrator is perfect!
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Overall5 out of 5 stars
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Performance5 out of 5 stars
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Story5 out of 5 stars
- Konstantin
- 13-05-21
Very good intro into algorithms (if you have pdf)
Very good intro into algorithms, covers the concepts of many different algorithms without bogging down into specifics too much. Because of this, it is a great starting point as it establishes the overall picture well.
Only go for the audiobook format if you have the pdf and a python ide or code editor in front of you. It will help greatly to attempt implementing the code and ideas of the book into code as you are following along.
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