Description
Grokking Algorithms Second Edition Video Edition course. This comprehensive course will help you to fully learn the most used algorithms and be fully prepared for the questions related to them in the next job interviews. With easy-to-follow explanations, over 400 fun illustrations, and dozens of relevant examples, learning algorithms will be a joy with this fun and friendly guide! In the “Grokking Algorithms Second Edition” course, the following will be covered:
- Searching, sorting and graph algorithms
- Data structures such as arrays, lists, hash tables, trees, and graphs
- NP-complete and greedy algorithms
- Performance comparison between different algorithms
- Exercises and code examples in each chapter
- More than 400 illustrations with step-by-step explanations
The first edition of Grasping Algorithms proved to over 100,000 readers that learning algorithms doesn’t have to be complicated or boring! The revised second edition includes completely new coverage of trees, including binary search trees, balanced trees, B-trees, and more. You will also gain a new understanding of how data structures work with modern CPUs in mind. Additionally, the book’s fully annotated code examples have been updated to Python 3.
What you will learn in Grokking Algorithms Second Edition Video Edition course:
- Search, sort and graph algorithms
- Data structures such as arrays, lists, hash tables, trees, and graphs
- NP-complete and greedy algorithms
- Comparing the performance of different algorithms
- Exercises and code samples in each chapter
- More than 400 images with step-by-step explanations
This course is suitable for people who
- They want to improve their knowledge about common programming algorithms.
- Looking to prepare for algorithm questions in job interviews.
- They want to gain a better understanding of how computer programs work.
Course details
- Publisher: Oreilly
- teacher: Aditya Bhargava
- Training level: beginner to advanced
- Training duration: 4 hours 40 minutes
Course headings
Course images
Sample video of the course
Installation guide
After Extract, view with your favorite Player.
Subtitle: None
Quality: 720p
download link
File(s) password: www.downloadly.ir
Size
480 MB
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