
Grokking Algorithms
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Narrated by:
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Derek Lettman
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By:
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Aditya Bhargava
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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I would prefer an audio book form of stepanov and rose, but this is still a welcome addition to my cassette collection.
Like computer yoga, or a meditation guide
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With a bit of effort there could have been some explanation of what is being visualized or at least a number for a visualization that I could go find online. Or at least just a mention in the introduction about where to download a PDF.
Sounds like an excellent hard copy
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Bad in audio form
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also, the narrator never calls out the figure # for stuff being referenced
Too Many Omissions
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Absolutely AMAZING!
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Great introduction to algorithms!
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Good, but feels very surface-level
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Great Book
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Good book, but terrible as an audio book
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The audio is great. We need the illustrations.
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