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  • Author: Solid
  • Date: 6-11-2015, 02:07
6-11-2015, 02:07

Learning JavaScript Data Structures and Algorithms

Category: Tutorials / Web Design Tutors

Learning JavaScript Data Structures and Algorithms

 Learning javascript Data Structures and Algorithms
Duration: 1hr 31m | Video: h264, yuv420p, 1280x720 30fps | Audio: aac, 44100 Hz, 2 ch | 132 MB
Genre: eLearning | Language: English

Find out how data structures and algorithms can be used to solve programming problems using javascript
As businesses collect increasing amounts of vital data, the need to structure software components increases every day. Using appropriate data structures and having a good understanding of algorithm analysis is key to writing maintainable and extensible quality software, thus solving the crisis.
Learning javascript Data Structures and Algorithms will show you how to organize your code with the most appropriate data structures available to get the job done fast, and in a logical way that is easy to maintain, refactor, and test. By using effective data structures, you can take advantage of advanced algorithms, thus making your web applications more powerful and scalable. You will learn about common software engineering data structures, such as linked-lists, trees, and graphs, and get to know how to implement them in javascript. You'll also master ways to use them in various types of algorithms.
What am I going to get from this course?
*Over 15 lectures and 1.5 hours of content!
*Master existing javascript collections such as arrays, sets, and maps
*Develop abstract data types to extend javascript into a more flexible and powerful programming language
*Grasp the basics of software engineering to differentiate yourself from undisciplined coders
*Conjure powerful algorithms to traverse dense graphs and trees in the least possible steps
*Devour the science of comparing different algorithms to choose the best one for the respective task
*Search and sort native and custom data types through collection iterator methods
*Create complex abstract data types by reusing existing classes

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