Grokking Algorithms Video Edition

Category: Tutorial


Posted on 2019-02-12, by voska89.

Description


1902121344120112.jpg
Grokking Algorithms Video Edition
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 3 Hours 49M | 1.10 GB
Genre: eLearning | Language: English



Grokking Algorithms is a fully illustrated, 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. Each carefully presented example includes helpful diagrams and fully annotated code samples in Python.
Grokking Algorithms is a friendly take on this core computer science topic. In it, you'll learn how to apply common algorithms to the practical programming problems you face every day. You'll start with tasks like sorting and searching. As you build up your skills, you'll tackle more complex problems like data compression and artificial intelligence. Each carefully presented example includes helpful diagrams and fully annotated code samples in Python. By the end of this video editions course, you will have mastered widely applicable algorithms as well as how and when to use them.
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, you are at the right place. This fully illustrated and engaging guide makes it easy to learn how to use the most important algorithms effectively in your own programs.
Inside:
Covers search, sort, and graph algorithms
Over 400 pictures with detailed walkthroughs
Performance trade-offs between algorithms
Python-based code samples
This easy-to-read, picture-heavy introduction is suitable for self-taught programmers, engineers, or anyone who wants to brush up on algorithms.



1902121344140103.jpg






Download (Uploadgig)
https://uploadgig.com/file/download/87be39acac57dF49/bzu66.Grokking.Algorithms.Video.Edition.part1.rar
https://uploadgig.com/file/download/2ff74574b64afd09/bzu66.Grokking.Algorithms.Video.Edition.part2.rar
https://uploadgig.com/file/download/9e63102AE83739d2/bzu66.Grokking.Algorithms.Video.Edition.part3.rar
https://uploadgig.com/file/download/e727015f7982b3f4/bzu66.Grokking.Algorithms.Video.Edition.part4.rar
Download ( Rapidgator )
https://rapidgator.net/file/cfb11d33300739dc6d07769c7fc9d88d/bzu66.Grokking.Algorithms.Video.Edition.part1.rar
https://rapidgator.net/file/0164e5086da89a5b13f9bf595994899e/bzu66.Grokking.Algorithms.Video.Edition.part2.rar
https://rapidgator.net/file/b891403746ee87ace868a8fc53cb391e/bzu66.Grokking.Algorithms.Video.Edition.part3.rar
https://rapidgator.net/file/541198d1abd01fb1dd84992b7ef1f4fe/bzu66.Grokking.Algorithms.Video.Edition.part4.rar
Download ( NitroFlare )
http://nitroflare.com/view/D2D585CCB0B6DCD/bzu66.Grokking.Algorithms.Video.Edition.part1.rar
http://nitroflare.com/view/E2EAFA2E70D0FCC/bzu66.Grokking.Algorithms.Video.Edition.part2.rar
http://nitroflare.com/view/0E8E27F2DD72BC0/bzu66.Grokking.Algorithms.Video.Edition.part3.rar
http://nitroflare.com/view/AA52F3A566DEDA5/bzu66.Grokking.Algorithms.Video.Edition.part4.rar


Sponsored High Speed Downloads
7153 dl's @ 2882 KB/s
Download Now [Full Version]
5852 dl's @ 2960 KB/s
Download Link 1 - Fast Download
5779 dl's @ 3169 KB/s
Download Mirror - Direct Download



Search More...
Grokking Algorithms Video Edition

Search free ebooks in ebookee.com!


Links
Download this book

No active download links here?
Please check the description for download links if any or do a search to find alternative books.


Related Books


Comments

No comments for "Grokking Algorithms Video Edition".


    Add Your Comments
    1. Download links and password may be in the description section, read description carefully!
    2. Do a search to find mirrors if no download links or dead links.
    Back to Top