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
About this listen
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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Remember Why You Got Into Computing
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In this fascinating book, investigative reporter Yasha Levine uncovers the secret origins of the Internet, tracing it back to a Pentagon counterinsurgency surveillance project. With deep research, skilled storytelling, and provocative arguments, Surveillance Valley will change the way you think about the news - and the device on which you read it.
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In Glow Kids, Dr. Nicholas Kardaras will examine how technology - more specifically, age-inappropriate screen tech, with all of its glowing ubiquity - has profoundly affected the brains of an entire generation. Brain imaging research is showing that stimulating glowing screens are as dopaminergic (dopamine activating) to the brain’s pleasure center as sex. And a growing mountain of clinical research correlates screen tech with disorders like ADHD, addiction, anxiety, depression, increased aggression, and even psychosis.
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A detailed examination of Tesla's work
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Technical knowledge alone isn't enough - increase your software development income by leveling up your soft skills Early in his software developer career, John Sonmez discovered that technical knowledge alone isn't enough to break through to the next income level - developers need "soft skills" like the ability to learn new technologies just in time, communicate clearly with management and consulting clients, negotiate a fair hourly rate, and unite teammates and coworkers in working toward a common goal.
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Tor Darknet Bundle (5 in 1) Master the Art of Invisibility (Bitcoins, Hacking, Kali Linux)
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The best five books on anonymity in existence! Want to surf the web anonymously? Cloak yourself in shadow on the Deep Web or The Hidden Wiki? I will show you how to become a ghost in the machine - leaving no tracks back to your ISP - whether on the Deep Web or regular Internet. This audiobook covers it all: encrypting your files, securing your PC, masking your Online footsteps with Tor, VPNs, Freenet, and bitcoins, and all while giving you peace of mind with total 100 percent anonymity.
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Artificial intelligence does the seemingly impossible - driving cars, trading stocks, and teaching children. But facing the sea change that AI will bring can be paralyzing. How should companies set strategies, governments design policies, and people plan their lives for a world so different from what we know? In Prediction Machines, three eminent economists recast the rise of AI as a drop in the cost of prediction. With this single, masterful stroke, they lift the curtain on the AI-is-magic hype and show how basic tools from economics provide clarity about the AI revolution and a basis for action by CEOs, managers, policy makers, investors, and entrepreneurs.
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Not sure what I was expecting, but underwhelmed
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A New York Times technology correspondent presents the dramatic rise and fall of Uber, set against the rapid upheaval in Silicon Valley during the mobile era. Based on hundreds of interviews with current and former Uber employees, along with previously unpublished documents, Super Pumped is a pause-resisting story of ambition and deception, obscene wealth, and bad behavior, that explores how blistering technological and financial innovation culminated in one of the most catastrophic 12-month periods in American corporate history.
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A forced narrative and a bad version of Bad Blood
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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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- Andrew George
- 06-18-20
Like computer yoga, or a meditation guide
The content is delivered directly and slowly. If you're completely new to programming, I recommend this book once a month while working on some textbook projects. This is not a comprehensive guide to algorithmic problem solving, nor is it an exploration of implementations. There will be a point when the utility of grokking algorithms diminishes.
I would prefer an audio book form of stepanov and rose, but this is still a welcome addition to my cassette collection.
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1 person found this helpful
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- Amazon Customer
- 10-02-19
Absolutely AMAZING!
Informative and well presented! It is a MUST-READ for anyone willing to acquire a strong foundation in Data Structures & Algorithms
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- MBlom
- 11-11-22
Sounds like an excellent hard copy
I enjoyed the book and got a fair bit out of it. All visuals were referred to with no explanation, which is the only reason for my lower rating.
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.
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- Adin
- 03-17-24
Bad in audio form
This book is not well fitted for audio as many examples are skipped because they are in code or images.
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- Naxia
- 06-06-21
Too Many Omissions
Too many items are noted as "not included" in the book, which makes this book unnecessary short and anemic in content.
also, the narrator never calls out the figure # for stuff being referenced
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2 people found this helpful
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- Tim
- 05-23-19
Good, but feels very surface-level
I wish there were more books like this. This was well-written and kept my attention. That being said, it’s hard to say how much concrete information I’m walking away with after listening to this.
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7 people found this helpful
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- M ABOU-BEIH
- 08-31-19
Great Book
A great book and easy to understand. The author is really breaking down a complex topic into small understandable chunks. A must read for any newbie on algorithms. However, I went back to buy the printed version. I don't recommend having an audiobook to learn algorims. Yes, I mad this mistake but you should not do the same.
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5 people found this helpful
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- Emelie Reuterswärd
- 05-09-20
Great introduction to algorithms!
Very pedagogical and interesting book on algorithms! Absolutely loved it. You get a pdf with all the code and pictures, so it’s totally fine as an audio book.
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4 people found this helpful
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- Roman Agne
- 12-01-20
Good book, but terrible as an audio book
This book relies off of illustrations. You can't really see the illustrations if you're listening to it as an audio book. The illustrations are a pretty important part of the book, so it made it difficult to understand. I suggest reading it as a pdf or buying the actual book.
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- Amazon Customer
- 08-29-22
The audio is great. We need the illustrations.
It seems that Audible could take the cover photo, multiply it, and give us the illustrations being referred to.
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